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3 Vector-Valued Functions 向量值函数

本页译自 OpenStax《Calculus Volume 3》第 3 章 Vector-Valued Functions。公式经本地 MathJax 渲染,自定义宏已注入。

Chapter Outline 本章概要

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3.1 Vector-Valued Functions and Space Curves 3.1 向量值函数与空间曲线

Our study of vector-valued functions combines ideas from our earlier examination of single-variable calculus with our description of vectors in three dimensions from the preceding chapter. In this section we extend concepts from earlier chapters and also examine new ideas concerning curves in three-dimensional space. These definitions and theorems support the presentation of material in the rest of this chapter and also in the remaining chapters of the text.

我们对向量值函数的研究,将此前单变量微积分的探讨与上一章三维空间中向量的描述结合起来。本节在前面各章概念的基础上加以推广,并考察关于三维空间曲线的新概念。这些定义与定理支撑着本章余下部分以及全书其余各章内容的展开。

Definition of a Vector-Valued Function 向量值函数的定义

Our first step in studying the calculus of vector-valued functions is to define what exactly a vector-valued function is. We can then look at graphs of vector-valued functions and see how they define curves in both two and three dimensions.

研究向量值函数微积分的第一步,是明确向量值函数究竟是什么。随后我们可考察向量值函数的图像,了解它们如何在二维和三维中定义曲线。

A vector-valued function is a function of the form

向量值函数是一种如下形式的函数

$$\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}\quad\text{or}\quad\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},$$ (3.1)

$$\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}\quad\text{or}\quad\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},$$ (3.1)

where the component functions *f, g,* and *h*, are real-valued functions of the parameter *t.* Vector-valued functions are also written in the form

其中分量函数 *f*、*g*、*h* 是参数 *t* 的实值函数。向量值函数也可写成如下形式

$$\mathbf{\text{r}}(t) = \left\langle {f(t),g(t)} \right\rangle\quad\text{or}\quad\mathbf{\text{r}}(t) = \left\langle {f(t),g(t),h(t)} \right\rangle.$$ (3.2)

$$\mathbf{\text{r}}(t) = \left\langle {f(t),g(t)} \right\rangle\quad\text{or}\quad\mathbf{\text{r}}(t) = \left\langle {f(t),g(t),h(t)} \right\rangle.$$ (3.2)

In both cases, the first form of the function defines a two-dimensional vector-valued function; the second form describes a three-dimensional vector-valued function.

两种情形中,第一种形式定义二维向量值函数;第二种形式描述三维向量值函数。

The parameter *t* can lie between two real numbers: $a \leq t \leq b.$ Another possibility is that the value of *t* might take on all real numbers. Last, the component functions themselves may have domain restrictions that enforce restrictions on the value of *t.* We often use *t* as a parameter because *t* can represent time.

参数 *t* 可以介于两个实数之间:$a \leq t \leq b$。另一种可能是 *t* 取遍所有实数。最后,分量函数本身可能存在定义域限制,从而对 *t* 的取值施加限制。我们常以 *t* 作为参数,因为 *t* 可以表示时间。

Evaluating Vector-Valued Functions and Determining Domains 向量值函数的求值与定义域的确定

For each of the following vector-valued functions, evaluate $\mathbf{\text{r}}(0),\mspace{2mu}\mathbf{\text{r}}\left( \frac{\pi}{2} \right),\text{and}\ \mathbf{\text{r}}\left( \frac{2\pi}{3} \right).$ Do any of these functions have domain restrictions?

对于下列各个向量值函数,求 $\mathbf{\text{r}}(0),\mspace{2mu}\mathbf{\text{r}}\left( \frac{\pi}{2} \right),\text{and}\ \mathbf{\text{r}}\left( \frac{2\pi}{3} \right)$。这些函数中是否有定义域限制?

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

2. $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}$

2. $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}$

Solution

1. To calculate each of the function values, substitute the appropriate value of *t* into the function:

1. 要计算各函数值,将相应的 *t* 值代入函数:

$$\begin{array}{cll} {\mathbf{\text{r}}(0)} & = & {4\mspace{2mu}\text{cos}(0)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}(0)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {4\mspace{2mu}\mathbf{\text{i}} + 0\mspace{2mu}\mathbf{\text{j}} = 4\mspace{2mu}\mathbf{\text{i}}} \\ {\mathbf{\text{r}}\left( \frac{\pi}{2} \right)} & = & {4\mspace{2mu}\text{cos}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {0\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\mathbf{\text{j}} = 3\mspace{2mu}\mathbf{\text{j}}} \\ {\mathbf{\text{r}}\left( \frac{2\pi}{3} \right)} & = & {4\mspace{2mu}\text{cos}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {4\left( {- \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{i}} + 3\left( \frac{\sqrt{3}}{2} \right)\mspace{2mu}\mathbf{\text{j}} = -2\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{cll} {\mathbf{\text{r}}(0)} & = & {4\mspace{2mu}\text{cos}(0)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}(0)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {4\mspace{2mu}\mathbf{\text{i}} + 0\mspace{2mu}\mathbf{\text{j}} = 4\mspace{2mu}\mathbf{\text{i}}} \\ {\mathbf{\text{r}}\left( \frac{\pi}{2} \right)} & = & {4\mspace{2mu}\text{cos}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {0\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\mathbf{\text{j}} = 3\mspace{2mu}\mathbf{\text{j}}} \\ {\mathbf{\text{r}}\left( \frac{2\pi}{3} \right)} & = & {4\mspace{2mu}\text{cos}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & = & {4\left( {- \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{i}} + 3\left( \frac{\sqrt{3}}{2} \right)\mspace{2mu}\mathbf{\text{j}} = -2\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

To determine whether this function has any domain restrictions, consider the component functions separately. The first component function is $f(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t$ and the second component function is $g(t) = 3\mspace{2mu}\text{sin}\mspace{2mu} t.$ Neither of these functions has a domain restriction, so the domain of $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ is all real numbers.

为判断该函数是否有定义域限制,分别考察各分量函数。第一个分量函数为 $f(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t$,第二个分量函数为 $g(t) = 3\mspace{2mu}\text{sin}\mspace{2mu} t$。这两个函数都没有定义域限制,因此 $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ 的定义域为全体实数。

2. To calculate each of the function values, substitute the appropriate value of *t* into the function:

2. 要计算各函数值,将相应的 *t* 值代入函数:

$$\begin{array}{cll} {\mspace{2mu}\mathbf{\text{r}}(0)} & = & {3\mspace{2mu}\text{tan}(0)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}(0)\mspace{2mu}\mathbf{\text{j}} + 5(0)\mspace{2mu}\mathbf{\text{k}}} \\ & = & {0\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\mathbf{\text{j}} + 0\mspace{2mu}\mathbf{\text{k}} = 4\mspace{2mu}\mathbf{\text{j}}} \\ {\mspace{2mu}\mathbf{\text{r}}\left( \frac{\pi}{2} \right)} & = & {3\mspace{2mu}\text{tan}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{k}},\text{which does not exist}} \\ {\mspace{2mu}\mathbf{\text{r}}\left( \frac{2\pi}{3} \right)} & = & {3\mspace{2mu}\text{tan}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{j}} + 5\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & = & {3\left( {- \sqrt{3}} \right)\mspace{2mu}\mathbf{\text{i}} + 4(-2)\mspace{2mu}\mathbf{\text{j}} + \frac{10\pi}{3}\mspace{2mu}\mathbf{\text{k}}} \\ & = & {-3\sqrt{3}\mspace{2mu}\mathbf{\text{i}} - 8\mspace{2mu}\mathbf{\text{j}} + \frac{10\pi}{3}\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

$$\begin{array}{cll} {\mspace{2mu}\mathbf{\text{r}}(0)} & = & {3\mspace{2mu}\text{tan}(0)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}(0)\mspace{2mu}\mathbf{\text{j}} + 5(0)\mspace{2mu}\mathbf{\text{k}}} \\ & = & {0\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\mathbf{\text{j}} + 0\mspace{2mu}\mathbf{\text{k}} = 4\mspace{2mu}\mathbf{\text{j}}} \\ {\mspace{2mu}\mathbf{\text{r}}\left( \frac{\pi}{2} \right)} & = & {3\mspace{2mu}\text{tan}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\left( \frac{\pi}{2} \right)\mspace{2mu}\mathbf{\text{k}},\text{which does not exist}} \\ {\mspace{2mu}\mathbf{\text{r}}\left( \frac{2\pi}{3} \right)} & = & {3\mspace{2mu}\text{tan}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sec}\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{j}} + 5\left( \frac{2\pi}{3} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & = & {3\left( {- \sqrt{3}} \right)\mspace{2mu}\mathbf{\text{i}} + 4(-2)\mspace{2mu}\mathbf{\text{j}} + \frac{10\pi}{3}\mspace{2mu}\mathbf{\text{k}}} \\ & = & {-3\sqrt{3}\mspace{2mu}\mathbf{\text{i}} - 8\mspace{2mu}\mathbf{\text{j}} + \frac{10\pi}{3}\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

To determine whether this function has any domain restrictions, consider the component functions separately. The first component function is $f(t) = 3\mspace{2mu}\text{tan}\mspace{2mu} t,$ the second component function is $g(t) = 4\mspace{2mu}\text{sec}\mspace{2mu} t,$ and the third component function is $h(t) = 5t.$ The first two functions are not defined for odd multiples of $\pi\text{/}2,$ so the function is not defined for odd multiples of $\pi\text{/}2.$ Therefore, $\text{dom}\left( {\mspace{2mu}\mathbf{\text{r}}(t)} \right) = \left\{ {t\mspace{2mu}\left| {t \neq \frac{\left( {2n + 1} \right)\pi}{2}} \right.} \right\},$ where *n* is any integer.

为判断该函数是否有定义域限制,分别考察各分量函数。第一个分量函数为 $f(t) = 3\mspace{2mu}\text{tan}\mspace{2mu} t$,第二个分量函数为 $g(t) = 4\mspace{2mu}\text{sec}\mspace{2mu} t$,第三个分量函数为 $h(t) = 5t$。前两个函数在 $\pi\text{/}2$ 的奇数倍处无定义,因此该函数在 $\pi\text{/}2$ 的奇数倍处无定义。于是 $\text{dom}\left( {\mspace{2mu}\mathbf{\text{r}}(t)} \right) = \left\{ {t\mspace{2mu}\left| {t \neq \frac{\left( {2n + 1} \right)\pi}{2}} \right.} \right\}$,其中 *n* 为任意整数。

For the vector-valued function $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 1} \right)\mspace{2mu}\mathbf{\text{j}},$ evaluate $\mathbf{\text{r}}(0),\mspace{2mu}\mathbf{\text{r}}(1),\text{and}\ \mathbf{\text{r}}(-4).$ Does this function have any domain restrictions?

对于向量值函数 $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 1} \right)\mspace{2mu}\mathbf{\text{j}}$,求 $\mathbf{\text{r}}(0),\mspace{2mu}\mathbf{\text{r}}(1),\text{and}\ \mathbf{\text{r}}(-4)$。该函数是否有定义域限制?

Example 3.1 illustrates an important concept. The domain of a vector-valued function consists of real numbers. The domain can be all real numbers or a subset of the real numbers. The range of a vector-valued function consists of vectors. Each real number in the domain of a vector-valued function is mapped to either a two- or a three-dimensional vector.

示例 3.1 说明了一个重要概念。向量值函数的定义域由实数组成,可以是全体实数,也可以是实数的某个子集。向量值函数的值域由向量组成。定义域中的每个实数都被映射到二维或三维向量。

Graphing Vector-Valued Functions 向量值函数的作图

Recall that a plane vector consists of two quantities: direction and magnitude. Given any point in the plane (the *initial point*), if we move in a specific direction for a specific distance, we arrive at a second point. This represents the *terminal point* of the vector. We calculate the components of the vector by subtracting the coordinates of the initial point from the coordinates of the terminal point.

回顾:平面向量由两个要素组成:方向与大小。给定平面内任一点(*起点*),若沿特定方向行进特定距离,便到达第二点,该点即向量的*终点*。我们通过用终点的坐标减去起点的坐标来计算向量的分量。

A vector is considered to be in *standard position* if the initial point is located at the origin. When graphing a vector-valued function, we typically graph the vectors in the domain of the function in standard position, because doing so guarantees the uniqueness of the graph. This convention applies to the graphs of three-dimensional vector-valued functions as well. The graph of a vector-valued function of the form $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ consists of the set of all $\left( {t,\mspace{2mu}\mathbf{\text{r}}(t)} \right),$ and the path it traces is called a plane curve. The graph of a vector-valued function of the form $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ consists of the set of all $\left( {t,\mspace{2mu}\mathbf{\text{r}}(t)} \right),$ and the path it traces is called a space curve. Any representation of a plane curve or space curve using a vector-valued function is called a vector parameterization of the curve.

若起点位于原点,则称该向量处于*标准位置*。绘制向量值函数的图像时,我们通常将该函数在定义域内各向量按标准位置画出,因为这样能保证图像的唯一性。这一约定同样适用于三维向量值函数的图像。形如 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 的向量值函数的图像由所有 $\left( {t,\mspace{2mu}\mathbf{\text{r}}(t)} \right)$ 组成,它所描绘的轨迹称为平面曲线。形如 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 的向量值函数的图像由所有 $\left( {t,\mspace{2mu}\mathbf{\text{r}}(t)} \right)$ 组成,它所描绘的轨迹称为空间曲线。任何用向量值函数表示平面曲线或空间曲线的方式,都称为该曲线的向量参数化。

Graphing a Vector-Valued Function 向量值函数的作图

Create a graph of each of the following vector-valued functions:

绘制下列各个向量值函数的图像:

1. The plane curve represented by $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},$ $0 \leq t \leq 2\pi$

1. 由 $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ 表示的平面曲线,$0 \leq t \leq 2\pi$

2. The plane curve represented by $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} 2t\textbf{i} + 3\mspace{2mu}\text{sin}\mspace{2mu} 2\mspace{2mu} t\textbf{j},$ $0 \leq t \leq \pi$

2. 由 $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} 2t\textbf{i} + 3\mspace{2mu}\text{sin}\mspace{2mu} 2\mspace{2mu} t\textbf{j}$ 表示的平面曲线,$0 \leq t \leq \pi$

3. The space curve represented by $\textbf{r}(t) = 4\text{cos}\mspace{2mu} t\mspace{2mu}\textbf{i} + 4\text{sin}\mspace{2mu} t\mspace{2mu}\textbf{j} + t\mspace{2mu}\textbf{k},$ $0 \leq t \leq 4\pi$

3. 由 $\textbf{r}(t) = 4\text{cos}\mspace{2mu} t\mspace{2mu}\textbf{i} + 4\text{sin}\mspace{2mu} t\mspace{2mu}\textbf{j} + t\mspace{2mu}\textbf{k}$ 表示的空间曲线,$0 \leq t \leq 4\pi$

Solution

1. As with any graph, we start with a table of values. We then graph each of the vectors in the second column of the table in standard position and connect the terminal points of each vector to form a curve (Figure 3.2). This curve turns out to be an ellipse centered at the origin.

1. 与任何作图一样,我们先列出数值表。然后将表中第二列的向量按标准位置逐一画出,并连接各向量的终点形成曲线(图 3.2)。该曲线是一个以原点为中心的椭圆。

| | | | |

| | | | |

|------------------|----------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------|

|------------------|----------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------|

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\pi$ | $-4\mspace{2mu}\mathbf{\text{i}}$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\pi$ | $-4\mspace{2mu}\mathbf{\text{i}}$ |

| $\frac{\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{5\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{5\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{2}$ | $3\mspace{2mu}\mathbf{\text{j}}$ | $\frac{3\pi}{2}$ | $-3\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{2}$ | $3\mspace{2mu}\mathbf{\text{j}}$ | $\frac{3\pi}{2}$ | $-3\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{3\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{7\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{3\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{7\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $2\pi$ | $4\mspace{2mu}\mathbf{\text{i}}$ | | |

| $2\pi$ | $4\mspace{2mu}\mathbf{\text{i}}$ | | |

Table 3.1 Table of Values for $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},$ $0 \leq t \leq 2\pi$

Table 3.1 数值表:$\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$,$0 \leq t \leq 2\pi$

2. The table of values for $\textbf{r}(t) = 4\text{cos}\mspace{2mu} 2t\textbf{i} + 3\mspace{2mu}\text{sin}\mspace{2mu} 2\mspace{2mu} t\textbf{j},$ $0 \leq t \leq \pi$ is as follows:

2. $\textbf{r}(t) = 4\text{cos}\mspace{2mu} 2t\textbf{i} + 3\mspace{2mu}\text{sin}\mspace{2mu} 2\mspace{2mu} t\textbf{j}$,$0 \leq t \leq \pi$ 的数值表如下:

| | | | |

| | | | |

|------------------|----------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------|

|------------------|----------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------|

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\frac{\pi}{2}$ | $-4\mspace{2mu}\mathbf{\text{i}}$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\frac{\pi}{2}$ | $-4\mspace{2mu}\mathbf{\text{i}}$ |

| $\frac{\pi}{8}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{5\pi}{8}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{8}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{5\pi}{8}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{4}$ | $3\mspace{2mu}\mathbf{\text{j}}$ | $\frac{3\pi}{4}$ | $-3\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{\pi}{4}$ | $3\mspace{2mu}\mathbf{\text{j}}$ | $\frac{3\pi}{4}$ | $-3\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{3\pi}{8}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{7\pi}{8}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| $\frac{3\pi}{8}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ | $\frac{7\pi}{8}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - \frac{3\sqrt{2}}{2}\mspace{2mu}\mathbf{\text{j}}$ |

| | | $\pi$ | $4\mspace{2mu}\mathbf{\text{i}}$ |

| | | $\pi$ | $4\mspace{2mu}\mathbf{\text{i}}$ |

Table 3.2 Table of Values for $\textbf{r}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu}\left( {\text{2}t} \right)\mspace{2mu}\textbf{i} + 3\mspace{2mu}\text{sin}\left( {2t} \right)\mspace{2mu}\textbf{j},$ $0 \leq t \leq \pi$

Table 3.2 数值表:$\textbf{r}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu}\left( {\text{2}t} \right)\mspace{2mu}\textbf{i} + 3\mspace{2mu}\text{sin}\left( {2t} \right)\mspace{2mu}\textbf{j}$,$0 \leq t \leq \pi$

The graph of this curve is also an ellipse centered at the origin.

该曲线同样是一个以原点为中心的椭圆。

3. We go through the same procedure for a three-dimensional vector function.

3. 对三维向量函数,我们采用同样的步骤。

| | | | |

| | | | |

|------------------|----------------------------------------------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------------------------------------------|

|------------------|----------------------------------------------------------------------------------------------------------------------------------|------------------|----------------------------------------------------------------------------------------------------------------------------------|

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| *t* | $\mathbf{\text{r}}(t)$ | *t* | $\mathbf{\text{r}}(t)$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\pi$ | $-4\mspace{2mu}\mathbf{\text{j}} + \pi\mspace{2mu}\mathbf{\text{k}}$ |

| 0 | $4\mspace{2mu}\mathbf{\text{i}}$ | $\pi$ | $-4\mspace{2mu}\mathbf{\text{j}} + \pi\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{5\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{5\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{5\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{5\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{\pi}{2}$ | $4\mspace{2mu}\mathbf{\text{j}} + \frac{\pi}{2}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{3\pi}{2}$ | $-4\mspace{2mu}\mathbf{\text{j}} + \frac{3\pi}{2}\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{\pi}{2}$ | $4\mspace{2mu}\mathbf{\text{j}} + \frac{\pi}{2}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{3\pi}{2}$ | $-4\mspace{2mu}\mathbf{\text{j}} + \frac{3\pi}{2}\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{3\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{3\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{7\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{7\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ |

| $\frac{3\pi}{4}$ | $-2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} + 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{3\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ | $\frac{7\pi}{4}$ | $2\sqrt{2}\mspace{2mu}\mathbf{\text{i}} - 2\sqrt{2}\mspace{2mu}\mathbf{\text{j}} + \frac{7\pi}{4}\mspace{2mu}\mathbf{\text{k}}$ |

| $2\pi$ | $4\mspace{2mu}\mathbf{\text{i}} + 2\pi\mspace{2mu}\mathbf{\text{k}}$ | | |

| $2\pi$ | $4\mspace{2mu}\mathbf{\text{i}} + 2\pi\mspace{2mu}\mathbf{\text{k}}$ | | |

Table 3.3 Table of Values for $\textbf{r}(t) = 4\text{cos}\mspace{2mu} t\mspace{2mu}\textbf{i} + 4\text{sin}\mspace{2mu} t\mspace{2mu}\textbf{j} + t\mspace{2mu}\textbf{k},$ $0 \leq t \leq 4\pi$

Table 3.3 数值表:$\textbf{r}(t) = 4\text{cos}\mspace{2mu} t\mspace{2mu}\textbf{i} + 4\text{sin}\mspace{2mu} t\mspace{2mu}\textbf{j} + t\mspace{2mu}\textbf{k}$,$0 \leq t \leq 4\pi$

The values then repeat themselves, except for the fact that the coefficient of k is always increasing (Figure 3.4). This curve is called a helix. Notice that if the k component is eliminated, then the function becomes $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},$ which is a unit circle centered at the origin.

随后数值不断重复,只是 k 的系数始终在增大(图 3.4)。该曲线称为螺旋线。注意,若消去 k 分量,则函数变为 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$,这是一个以原点为圆心的单位圆。

You may notice that the graphs in parts a. and b. are identical. This happens because the function describing curve b is a so-called reparameterization of the function describing curve a. In fact, any curve has an infinite number of reparameterizations; for example, we can replace *t* with $2t$ in any of the three previous curves without changing the shape of the curve. The interval over which *t* is defined may change, but that is all. We return to this idea later in this chapter when we study arc-length parameterization.

你也许注意到 a、b 两部分中的图像完全相同。这是因为描述曲线 b 的函数是描述曲线 a 的函数的一种所谓重新参数化。事实上,任何曲线都有无穷多种重新参数化;例如,我们可以把前面三条曲线中的 *t* 替换为 $2t$,而不改变曲线的形状。*t* 的定义区间可能改变,但也仅此而已。本章后面研究弧长参数化时,我们会再回到这个想法。

As mentioned, the name of the shape of the curve of the graph in Example 3.2c. is a helix (Figure 3.4). The curve resembles a spring, with a circular cross-section looking down along the *z*-axis. It is possible for a helix to be elliptical in cross-section as well. For example, the vector-valued function $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}$ describes an elliptical helix. The projection of this helix into the $x,y\text{-plane}$ is an ellipse. Last, the arrows in the graph of this helix indicate the orientation of the curve as *t* progresses from 0 to $4\pi.$

如前所述,示例 3.2c 中图像曲线的形状称为螺旋线(图 3.4)。该曲线形似弹簧,沿 *z* 轴向下看截面为圆形。螺旋线的横截面也可能是椭圆形的。例如,向量值函数 $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}$ 描述一条椭圆螺旋线。该螺旋线在 $x,y\text{-plane}$ 上的投影是一个椭圆。最后,螺旋线图像中的箭头标明了曲线随 *t* 从 0 增大到 $4\pi$ 时的走向。

Create a graph of the vector-valued function $\mathbf{\text{r}}(t) = \left( {t^{2} - 1} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 3} \right)\mspace{2mu}\mathbf{\text{j}},$ $0 \leq t \leq 3.$

绘制向量值函数 $\mathbf{\text{r}}(t) = \left( {t^{2} - 1} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 3} \right)\mspace{2mu}\mathbf{\text{j}}$ 的图像,$0 \leq t \leq 3$。

At this point, you may notice a similarity between vector-valued functions and parameterized curves. Indeed, given a vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}},$ we can define $x = f(t)$ and $y = g(t).$ If a restriction exists on the values of *t* (for example, *t* is restricted to the interval $\left\lbrack {a,b} \right\rbrack$ for some constants $a < b),$ then this restriction is enforced on the parameter. The graph of the parameterized function would then agree with the graph of the vector-valued function, except that the vector-valued graph would represent vectors rather than points. Since we can parameterize a curve defined by a function $y = f(x),$ it is also possible to represent an arbitrary plane curve by a vector-valued function.

至此,你也许注意到向量值函数与参数化曲线之间的相似之处。确实,给定向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$,我们可以设 $x = f(t)$、$y = g(t)$。若对 *t* 的取值有限制(例如 *t* 被限制在某个区间 $\left\lbrack {a,b} \right\rbrack$ 内,其中常数 $a < b$),则该限制作用于参数。此时参数化函数的图像与向量值函数的图像一致,只是向量值函数图像表示的是向量而非点。既然我们可以对由函数 $y = f(x)$ 定义的曲线进行参数化,也就同样可以用向量值函数表示任意平面曲线。

Limits and Continuity of a Vector-Valued Function 向量值函数的极限与连续性

We now take a look at the limit of a vector-valued function. This is important to understand to study the calculus of vector-valued functions.

现在我们来考察向量值函数的极限。要研究向量值函数的微积分,理解这一概念十分重要。

A vector-valued function r approaches the limit L as *t* approaches *a,* written

当 $t$ 趋于 $a$ 时,若向量值函数 r 趋于极限 L,则记作

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{L}},$$

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{L}},$$

provided

当且仅当

$$\underset{t\rightarrow a}{\text{lim}}\left| \middle| {\mspace{2mu}\mathbf{\text{r}}(t) - \mathbf{\text{L}}} \middle| \right| = 0.$$

$$\underset{t\rightarrow a}{\text{lim}}\left| \middle| {\mspace{2mu}\mathbf{\text{r}}(t) - \mathbf{\text{L}}} \middle| \right| = 0.$$

This is a rigorous definition of the limit of a vector-valued function. In practice, we use the following theorem:

这是向量值函数极限的严格定义。实际计算中,我们使用以下定理:

Limit of a Vector-Valued Function 向量值函数的极限

Let *f, g,* and *h* be functions of *t.* Then the limit of the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ as *t* approaches *a* is given by

设 $f, g$ 为 $t$ 的函数。则当 $t$ 趋于 $a$ 时,向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 的极限为

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}},$$ (3.3)

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}},$$ (3.3)

provided the limits $\underset{t\rightarrow a}{\text{lim}}f(t)\ \text{and}\ \underset{t\rightarrow a}{\text{lim}}g(t)$ exist. Similarly, the limit of the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ as *t* approaches *a* is given by

以上成立的前提是极限 $\underset{t\rightarrow a}{\text{lim}}f(t)$ 与 $\underset{t\rightarrow a}{\text{lim}}g(t)$ 存在。类似地,当 $t$ 趋于 $a$ 时,向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 的极限为

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{k}},$$ (3.4)

$$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{k}},$$ (3.4)

provided the limits $\underset{t\rightarrow a}{\text{lim}}f(t),\ \underset{t\rightarrow a}{\text{lim}}g(t)\text{and}\ \underset{t\rightarrow a}{\text{lim}}h(t)$ exist.

以上成立的前提是极限 $\underset{t\rightarrow a}{\text{lim}}f(t)$、$\underset{t\rightarrow a}{\text{lim}}g(t)$ 与 $\underset{t\rightarrow a}{\text{lim}}h(t)$ 存在。

In the following example, we show how to calculate the limit of a vector-valued function.

下面的示例说明如何计算向量值函数的极限。

Evaluating the Limit of a Vector-Valued Function 计算向量值函数的极限

For each of the following vector-valued functions, calculate $\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for

对下列各个向量值函数,计算 $\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$.

1. $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}$

1. $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}$

2. $\mathbf{\text{r}}(t) = \frac{2t - 4}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \frac{t}{t^{2} + 1}\mspace{2mu}\mathbf{\text{j}} + \left( {4t - 3} \right)\mspace{2mu}\mathbf{\text{k}}$

2. $\mathbf{\text{r}}(t) = \frac{2t - 4}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \frac{t}{t^{2} + 1}\mspace{2mu}\mathbf{\text{j}} + \left( {4t - 3} \right)\mspace{2mu}\mathbf{\text{k}}$

Solution

1. Use Equation 3.3 and substitute the value $t = 3$ into the two component expressions:

1. 利用公式 (3.3),将 $t = 3$ 代入两个分量表达式:

$$\begin{array}{cl}{\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)} & {= \underset{t\rightarrow 3}{\text{lim}}\left\lbrack {\left( {t^{2} - 3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack} \\ & {= \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {t^{2} - 3t + 4} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {4t + 3} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= 4\mspace{2mu}\mathbf{\text{i}} + 15\mspace{2mu}\mathbf{\text{j}}.}\end{array}$$

$$\begin{array}{cl}{\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)} & {= \underset{t\rightarrow 3}{\text{lim}}\left\lbrack {\left( {t^{2} - 3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack} \\ & {= \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {t^{2} - 3t + 4} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {4t + 3} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= 4\mspace{2mu}\mathbf{\text{i}} + 15\mspace{2mu}\mathbf{\text{j}}.}\end{array}$$

2. Use Equation 3.4 and substitute the value $t = 3$ into the three component expressions:

2. 利用公式 (3.4),将 $t = 3$ 代入三个分量表达式:

$$\begin{array}{cl}{\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)} & {= \underset{t\rightarrow 3}{\text{lim}}\left( {\frac{2t - 4}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \frac{t}{t^{2} + 1}\mspace{2mu}\mathbf{\text{j}} + \left( {4t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( \frac{2t - 4}{t + 1} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( \frac{t}{t^{2} + 1} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {4t - 3} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ & {= \frac{1}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3}{10}\mspace{2mu}\mathbf{\text{j}} + 9\mspace{2mu}\mathbf{\text{k}}.}\end{array}$$

$$\begin{array}{cl}{\underset{t\rightarrow 3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)} & {= \underset{t\rightarrow 3}{\text{lim}}\left( {\frac{2t - 4}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \frac{t}{t^{2} + 1}\mspace{2mu}\mathbf{\text{j}} + \left( {4t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( \frac{2t - 4}{t + 1} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( \frac{t}{t^{2} + 1} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow 3}{\text{lim}}\left( {4t - 3} \right)} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ & {= \frac{1}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{3}{10}\mspace{2mu}\mathbf{\text{j}} + 9\mspace{2mu}\mathbf{\text{k}}.}\end{array}$$

Calculate $\underset{t\rightarrow-2}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for the function $\mathbf{\text{r}}(t) = \sqrt{t^{2} - 3t - 1}\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}} + \text{sin}\ \frac{\left( {t + 1} \right)\pi}{2}\mspace{2mu}\mathbf{\text{k}}.$

计算函数 $\mathbf{\text{r}}(t) = \sqrt{t^{2} - 3t - 1}\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 3} \right)\mspace{2mu}\mathbf{\text{j}} + \text{sin}\ \frac{\left( {t + 1} \right)\pi}{2}\mspace{2mu}\mathbf{\text{k}}$ 在 $t\rightarrow-2$ 时的极限。

Now that we know how to calculate the limit of a vector-valued function, we can define continuity at a point for such a function.

既然已经会计算向量值函数的极限,我们便可以定义此类函数在某点处的连续性。

Let *f, g,* and *h* be functions of *t.* Then, the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ is continuous at point $t = a$ if the following three conditions hold:

设 $f, g$ 为 $t$ 的函数。则向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 在点 $t = a$ 处连续,当且仅当下列条件同时成立:

1. $\mathbf{\text{r}}(a)$ exists

1. $\mathbf{\text{r}}(a)$ 存在

2. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ exists

2. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ 存在

3. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{r}}(a)$

3. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{r}}(a)$

Similarly, the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ is continuous at point $t = a$ if the following three conditions hold:

类似地,向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 在点 $t = a$ 处连续,当且仅当下列条件同时成立:

1. $\mathbf{\text{r}}(a)$ exists

1. $\mathbf{\text{r}}(a)$ 存在

2. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ exists

2. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ 存在

3. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{r}}(a)$

3. $\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \mathbf{\text{r}}(a)$

Section 3.1 Exercises 3.1 节习题

1.

1.

Give the component functions $x = f(t)$ and $y = g(t)$ for the vector-valued function $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$

给出向量值函数 $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ 的分量函数 $x = f(t)$ 与 $y = g(t)$.

2\.

2.

Given $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},$ find the following values (if possible).

给定 $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$,求下列函数值(若可能)。

1. $\mathbf{\text{r}}\left( \frac{\pi}{4} \right)$

1. $\mathbf{\text{r}}\left( \frac{\pi}{4} \right)$

2. $\mathbf{\text{r}}(\pi)$

2. $\mathbf{\text{r}}(\pi)$

3. $\mathbf{\text{r}}\left( \frac{\pi}{2} \right)$

3. $\mathbf{\text{r}}\left( \frac{\pi}{2} \right)$

3.

3.

Sketch the curve of the vector-valued function $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ and give the orientation of the curve. Sketch asymptotes as a guide to the graph.

描绘向量值函数 $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{sec}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ 的曲线,并标明曲线的走向;可先画出渐近线作为作图参考。

4\.

4.

Evaluate $\underset{t\rightarrow 0}{\text{lim}}\left\langle {e^{t}\mspace{2mu},\frac{\text{sin}\mspace{2mu} t}{t}\mspace{2mu},e^{\text{−}t}} \right\rangle.$

计算 $\underset{t\rightarrow 0}{\text{lim}}\left\langle {e^{t}\mspace{2mu},\frac{\text{sin}\mspace{2mu} t}{t}\mspace{2mu},e^{\text{−}t}} \right\rangle.$

5.

5.

Given the vector-valued function $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t} \right\rangle,$ find the following values:

给定向量值函数 $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t} \right\rangle$,求下列值:

1. $\underset{t\rightarrow\frac{\pi}{3}}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

1. $\underset{t\rightarrow\frac{\pi}{3}}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

2. $\mathbf{\text{r}}\left( \frac{\pi}{3} \right)$

2. $\mathbf{\text{r}}\left( \frac{\pi}{3} \right)$

3. Is $\mathbf{\text{r}}(t)$ continuous at $t = \frac{\pi}{3}?$

3. 函数 $\mathbf{\text{r}}(t)$ 在 $t = \frac{\pi}{3}$ 处是否连续?

4. Graph $\mathbf{\text{r}}(t).$

4. 画出 $\mathbf{\text{r}}(t)$ 的图像。

6\.

6.

Given the vector-valued function $\mathbf{\text{r}}(t) = \left\langle {t,t^{2} + 1} \right\rangle,$ find the following values:

给定向量值函数 $\mathbf{\text{r}}(t) = \left\langle {t,t^{2} + 1} \right\rangle$,求下列值:

1. $\underset{t\rightarrow-3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

1. $\underset{t\rightarrow-3}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

2. $\mathbf{\text{r}}(-3)$

2. $\mathbf{\text{r}}(-3)$

3. Is $\mathbf{\text{r}}(t)$ continuous at $t = -3?$

3. 函数 $\mathbf{\text{r}}(t)$ 在 $t = -3$ 处是否连续?

4. $\mathbf{\text{r}}(t + 2) - \mathbf{\text{r}}(t)$

4. $\mathbf{\text{r}}(t + 2) - \mathbf{\text{r}}(t)$

7.

7.

Let $\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}.$ Find the following values:

设 $\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$。求下列值:

1. $\mathbf{\text{r}}\left( \frac{\pi}{4} \right)$

1. $\mathbf{\text{r}}\left( \frac{\pi}{4} \right)$

2. $\underset{t\rightarrow\pi\text{/}4}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

2. $\underset{t\rightarrow\pi\text{/}4}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$

3. Is $\mathbf{\text{r}}(t)$ continuous at $t = \frac{\pi}{4}?$

3. 函数 $\mathbf{\text{r}}(t)$ 在 $t = \frac{\pi}{4}$ 处是否连续?

Find the limit of the following vector-valued functions at the indicated value of *t*.

求下列向量值函数在所给 $t$ 值处的极限。

8\.

8.

$\underset{t\rightarrow 4}{\text{lim}}\left\langle {\sqrt{t - 3},\frac{\sqrt{t} - 2}{t - 4},\text{tan}\left( \frac{\pi}{t} \right)} \right\rangle$

$\underset{t\rightarrow 4}{\text{lim}}\left\langle {\sqrt{t - 3},\frac{\sqrt{t} - 2}{t - 4},\text{tan}\left( \frac{\pi}{t} \right)} \right\rangle$

9.

9.

$\underset{t\rightarrow\pi\text{/}2}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for $\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$

$\underset{t\rightarrow\pi\text{/}2}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for $\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$

10\.

10.

$\underset{t\rightarrow\infty}{\text{lim}}\left\langle {e^{-2t},\frac{2t + 3}{3t - 1},\text{arctan}(2t)} \right\rangle$

$\underset{t\rightarrow\infty}{\text{lim}}\left\langle {e^{-2t},\frac{2t + 3}{3t - 1},\text{arctan}(2t)} \right\rangle$

11.

11.

$\underset{t\rightarrow e^{2}}{\text{lim}}\left\langle {t\mspace{2mu}\text{ln}(t),\frac{\text{ln}\mspace{2mu} t}{t^{2}},\sqrt{\text{ln}\mspace{2mu}\left( t^{2} \right)}} \right\rangle$

$\underset{t\rightarrow e^{2}}{\text{lim}}\left\langle {t\mspace{2mu}\text{ln}(t),\frac{\text{ln}\mspace{2mu} t}{t^{2}},\sqrt{\text{ln}\mspace{2mu}\left( t^{2} \right)}} \right\rangle$

12\.

12.

$\underset{t\rightarrow\pi\text{/}6}{\text{lim}}\left\langle {\text{cos}^{2}t,\text{sin}^{2}t,1} \right\rangle$

$\underset{t\rightarrow\pi\text{/}6}{\text{lim}}\left\langle {\text{cos}^{2}t,\text{sin}^{2}t,1} \right\rangle$

13.

13.

$\underset{t\rightarrow\infty}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}$

$\underset{t\rightarrow\infty}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ for $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}$

14\.

14.

Describe the curve defined by the vector-valued function $\mathbf{\text{r}}(t) = (1 + t)\mspace{2mu}\mathbf{\text{i}} + (2 + 5t)\mspace{2mu}\mathbf{\text{j}} + (-1 + 6t)\mspace{2mu}\mathbf{\text{k}}.$

描述由向量值函数 $\mathbf{\text{r}}(t) = (1 + t)\mspace{2mu}\mathbf{\text{i}} + (2 + 5t)\mspace{2mu}\mathbf{\text{j}} + (-1 + 6t)\mspace{2mu}\mathbf{\text{k}}$ 定义的曲线。

Find the domain of the vector-valued functions.

求下列向量值函数的定义域。

15.

15.

Domain: $\mathbf{\text{r}}(t) = \left\langle {t^{2},\text{tan}\mspace{2mu} t,\text{ln}\mspace{2mu} t} \right\rangle$

定义域:$\mathbf{\text{r}}(t) = \left\langle {t^{2},\text{tan}\mspace{2mu} t,\text{ln}\mspace{2mu} t} \right\rangle$

16\.

16.

Domain: $\mathbf{\text{r}}(t) = \left\langle {t^{2},\sqrt{t - 3},\frac{3}{2t + 1}} \right\rangle$

定义域:$\mathbf{\text{r}}(t) = \left\langle {t^{2},\sqrt{t - 3},\frac{3}{2t + 1}} \right\rangle$

17.

17.

Domain: $\mathbf{\text{r}}(t) = \left\langle {\text{csc}(t),\frac{1}{\sqrt{t - 3}},\text{ln}(t - 2)} \right\rangle$

定义域:$\mathbf{\text{r}}(t) = \left\langle {\text{csc}(t),\frac{1}{\sqrt{t - 3}},\text{ln}(t - 2)} \right\rangle$

Let $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,t,\text{sin}\mspace{2mu} t} \right\rangle$ and use it to answer the following questions.

设 $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,t,\text{sin}\mspace{2mu} t} \right\rangle$,并用它回答下列问题。

18\.

18.

For what values of *t* is $\mathbf{\text{r}}(t)$ continuous?

对哪些 $t$ 值,函数 $\mathbf{\text{r}}(t)$ 连续?

19.

19.

Sketch the graph of $\mathbf{\text{r}}(t).$

画出 $\mathbf{\text{r}}(t)$ 的图像。

20\.

20.

Find the domain of $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}.$

求 $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}$ 的定义域。

21.

21.

For what values of *t* is $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}$ continuous?

对哪些 $t$ 值,函数 $\mathbf{\text{r}}(t) = 2e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + e^{\text{−}t}\mspace{2mu}\mathbf{\text{j}} + \text{ln}(t - 1)\mspace{2mu}\mathbf{\text{k}}$ 连续?

Eliminate the parameter *t*, write the equation in Cartesian coordinates, then sketch the graphs of the vector-valued functions.

消去参数 $t$,写出笛卡儿坐标方程,再描绘向量值函数的图像。

22\.

22.

$\mathbf{\text{r}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}}$ (*Hint:* Let $x = 2t$ and $y = t^{2}.$ Solve the first equation for *x* in terms of *t* and substitute this result into the second equation.)

$\mathbf{\text{r}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}}$(提示:令 $x = 2t$,$y = t^{2}$。由第一个方程解出 $x$ 关于 $t$ 的表达式,再代入第二个方程。)

23.

23.

$\mathbf{\text{r}}(t) = t^{3}\mspace{2mu}\mathbf{\text{i}} + 2t\mspace{2mu}\mathbf{\text{j}}$

$\mathbf{\text{r}}(t) = t^{3}\mspace{2mu}\mathbf{\text{i}} + 2t\mspace{2mu}\mathbf{\text{j}}$

24\.

24.

$\mathbf{\text{r}}(t) = 2\left( {\text{sinh}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + 2\left( {\text{cosh}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}},t > 0$

$\mathbf{\text{r}}(t) = 2\left( {\text{sinh}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + 2\left( {\text{cosh}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}},t > 0$

25.

25.

$\mathbf{\text{r}}(t) = 3\left( {\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + 3\left( {\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}}$

$\mathbf{\text{r}}(t) = 3\left( {\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + 3\left( {\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}}$

26\.

26.

$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{sin}\mspace{2mu} t,3\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{sin}\mspace{2mu} t,3\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$

Use a graphing utility to sketch each of the following vector-valued functions:

使用绘图工具描绘下列各个向量值函数:

27.

27.

\[T\] $\textbf{r}(t) = \left( {2\mspace{2mu}\text{cos}^{2}\mspace{2mu} t} \right)\mspace{2mu}\textbf{i} + \left( 2 - \sqrt{t} \right)\mspace{2mu}\textbf{j}$

\[T\] $\textbf{r}(t) = \left( {2\mspace{2mu}\text{cos}^{2}\mspace{2mu} t} \right)\mspace{2mu}\textbf{i} + \left( 2 - \sqrt{t} \right)\mspace{2mu}\textbf{j}$

28\.

28.

\[T\] $\mathbf{\text{r}}(t) = \left\langle {e^{\text{cos}(3t)},e^{\text{−}\text{sin}(t)}} \right\rangle$

\[T\] $\mathbf{\text{r}}(t) = \left\langle {e^{\text{cos}(3t)},e^{\text{−}\text{sin}(t)}} \right\rangle$

29.

29.

\[T\] $\mathbf{\text{r}}(t) = \left\langle {2 - \text{sin}(2t),3 + 2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$

\[T\] $\mathbf{\text{r}}(t) = \left\langle {2 - \text{sin}(2t),3 + 2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$

30\.

30.

$4x^{2} + 9y^{2} = 36;$ clockwise and counterclockwise

$4x^{2} + 9y^{2} = 36$;顺时针与逆时针方向

31.

31.

$\mathbf{\text{r}}(t) = \left\langle {t,t^{2}} \right\rangle;$ from left to right

$\mathbf{\text{r}}(t) = \left\langle {t,t^{2}} \right\rangle$;自左向右

32\.

32.

The line through *P* and *Q* where *P* is $\left( {1,4,-2} \right)$ and *Q* is $\left( {3,9,6} \right)$

过点 $P$ 与 $Q$ 的直线,其中 $P$ 为 $\left( {1,4,-2} \right)$,$Q$ 为 $\left( {3,9,6} \right)$

Consider the curve described by the vector-valued function $\mathbf{\text{r}}(t) = \left( {50e^{\text{−}t}\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {50e^{\text{−}t}\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}} + (5 - 5e^{\text{−}t})\mspace{2mu}\mathbf{\text{k}}.$

考虑由向量值函数 $\mathbf{\text{r}}(t) = \left( {50e^{\text{−}t}\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {50e^{\text{−}t}\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}} + (5 - 5e^{\text{−}t})\mspace{2mu}\mathbf{\text{k}}$ 描述的曲线。

33.

33.

What is the initial point of the path corresponding to $\mathbf{\text{r}}(0)?$

路径对应于 $\mathbf{\text{r}}(0)$ 的起点是什么?

34\.

34.

What is $\underset{t\rightarrow\infty}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)?$

$\underset{t\rightarrow\infty}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t)$ 是什么?

35.

35.

\[T\] Use technology to sketch the curve.

\[T\] 使用技术工具描绘该曲线。

36\.

36.

Eliminate the parameter *t* to show that $z = 5 - \frac{r}{10}$ where $r^{2} = x^{2} + y^{2}.$

消去参数 $t$,证明 $z = 5 - \frac{r}{10}$,其中 $r^{2} = x^{2} + y^{2}$。

37.

37.

\[T\] Let $r(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 0.3\mspace{2mu}\text{sin}(2t)\mspace{2mu}\mathbf{\text{k}}.$ Use technology to graph the curve (called the *roller-coaster curve*) over the interval $\left\lbrack {0,2\pi} \right).$ Choose at least two views to determine the peaks and valleys.

\[T\] 令 $r(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 0.3\mspace{2mu}\text{sin}(2t)\mspace{2mu}\mathbf{\text{k}}$。使用技术工具在区间 $\left\lbrack {0,2\pi} \right)$ 上描绘该曲线(称为"过山车曲线"),至少选取两个视角以确定峰谷。

38\.

38.

\[T\] Use the result of the preceding problem to construct an equation of a roller coaster with a steep drop from the peak and steep incline from the "valley." Then, use technology to graph the equation.

\[T\] 利用前一题的结果,构造一条过山车曲线的方程,使其在峰顶处陡降、在"谷"处陡升;然后,使用技术工具描绘该方程。

39.

39.

Use the results of the preceding two problems to construct an equation of a path of a roller coaster with more than two turning points (peaks and valleys).

利用前两题的结果,构造一条过山车路径的方程,使其具有两个以上的转折点(峰与谷)。

40\.

40.

1. Graph the curve $\mathbf{\text{r}}(t) = \left( {4 + \text{cos}(18t)} \right)\text{cos}(t)\mspace{2mu}\mathbf{\text{i}} + \left( {4 + \text{cos}(18t)\text{sin}(t)} \right)\mspace{2mu}\mathbf{\text{j}} + 0.3\mspace{2mu}\text{sin}(18t)\mspace{2mu}\mathbf{\text{k}}$ using two viewing angles of your choice to see the overall shape of the curve.

1. 选取两个你选定的视角,描绘曲线 $\mathbf{\text{r}}(t) = \left( {4 + \text{cos}(18t)} \right)\text{cos}(t)\mspace{2mu}\mathbf{\text{i}} + \left( {4 + \text{cos}(18t)\text{sin}(t)} \right)\mspace{2mu}\mathbf{\text{j}} + 0.3\mspace{2mu}\text{sin}(18t)\mspace{2mu}\mathbf{\text{k}}$,以观察曲线的整体形状。

2. Does the curve resemble a "slinky"?

2. 该曲线是否像"弹簧圈"(slinky)?

3. What changes to the equation should be made to increase the number of coils of the slinky?

3. 应对方程作何修改,才能增加弹簧圈的圈数?

---

——

3.2 Calculus of Vector-Valued Functions 3.2 向量值函数的微积分

To study the calculus of vector-valued functions, we follow a similar path to the one we took in studying real-valued functions. First, we define the derivative, then we examine applications of the derivative, then we move on to defining integrals. However, we will find some interesting new ideas along the way as a result of the vector nature of these functions and the properties of space curves.

研究向量值函数的微积分时,我们沿用与研究实值函数相似的路径:先定义导数,再考察导数的应用,最后定义积分。不过,由于这些函数的向量本质以及空间曲线的性质,途中我们会遇到一些有趣的新观念。

Derivatives of Vector-Valued Functions 向量值函数的导数

Now that we have seen what a vector-valued function is and how to take its limit, the next step is to learn how to differentiate a vector-valued function. The definition of the derivative of a vector-valued function is nearly identical to the definition of a real-valued function of one variable. However, because the range of a vector-valued function consists of vectors, the same is true for the range of the derivative of a vector-valued function.

在了解了向量值函数是什么以及如何求其极限之后,下一步是学习如何对向量值函数求导。向量值函数导数的定义与一元实值函数导数的定义几乎完全相同。然而,由于向量值函数的值域由向量组成,其导函数的值域同样由向量组成。

The derivative of a vector-valued function $\mathbf{\text{r}}(t)$ is

向量值函数 $\mathbf{\text{r}}(t)$ 的导数为

$$\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t},$$ (3.5)

$$\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t},$$ (3.5)

provided the limit exists. If $\mathbf{r^{\prime}}(t)$ exists, then r is differentiable at *t.* If $\mathbf{r^{\prime}}(t)$ exists for all *t* in an open interval $\left( {a,b} \right),$ then r is differentiable over the interval $\left( {a,b} \right).$ For the function to be differentiable over the closed interval $\left\lbrack {a,b} \right\rbrack,$ the following two limits must exist as well:

若该极限存在。若 $\mathbf{r^{\prime}}(t)$ 存在,则 r 在 $t$ 处可微。若对开区间 $\left( {a,b} \right)$ 内所有 $t$ 都有 $\mathbf{r^{\prime}}(t)$ 存在,则 r 在区间 $\left( {a,b} \right)$ 上可微。若该函数要在闭区间 $\left\lbrack {a,b} \right\rbrack$ 上可微,则以下两个极限也必须存在:

$$\mathbf{r^{\prime}}(a) = \underset{\text{Δ}t\rightarrow 0^{+}}{\text{lim}}\frac{\mathbf{\text{r}}\left( {a + \text{Δ}t} \right) - \mathbf{\text{r}}(a)}{\text{Δ}t}\mspace{7mu}\text{and}\mspace{7mu}\mathbf{r^{\prime}}(b) = \underset{\text{Δ}t\rightarrow 0^{-}}{\text{lim}}\frac{\mathbf{\text{r}}\left( {b + \text{Δ}t} \right) - \mathbf{\text{r}}(b)}{\text{Δ}t}.$$

$$\mathbf{r^{\prime}}(a) = \underset{\text{Δ}t\rightarrow 0^{+}}{\text{lim}}\frac{\mathbf{\text{r}}\left( {a + \text{Δ}t} \right) - \mathbf{\text{r}}(a)}{\text{Δ}t}\mspace{7mu}\text{and}\mspace{7mu}\mathbf{r^{\prime}}(b) = \underset{\text{Δ}t\rightarrow 0^{-}}{\text{lim}}\frac{\mathbf{\text{r}}\left( {b + \text{Δ}t} \right) - \mathbf{\text{r}}(b)}{\text{Δ}t}.$$

Many of the rules for calculating derivatives of real-valued functions can be applied to calculating the derivatives of vector-valued functions as well. Recall that the derivative of a real-valued function can be interpreted as the slope of a tangent line or the instantaneous rate of change of the function. The derivative of a vector-valued function can be understood to be an instantaneous rate of change as well; for example, when the function represents the position of an object at a given point in time, the derivative represents its velocity at that same point in time.

计算实值函数导数的许多法则,同样可用于计算向量值函数的导数。回想一下,实值函数的导数可解释为切线的斜率或函数的瞬时变化率。向量值函数的导数也可理解为一种瞬时变化率;例如,当该函数表示物体在给定时刻的位置时,其导数就表示该时刻的速度。

We now demonstrate taking the derivative of a vector-valued function.

下面演示如何对向量值函数求导。

Finding the Derivative of a Vector-Valued Function 求向量值函数的导数

Use the definition to calculate the derivative of the function

用定义计算下列函数的导数

$$\mathbf{\text{r}}(t) = \left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}.$$

$$\mathbf{\text{r}}(t) = \left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}.$$

Solution

Let’s use Equation 3.5:

使用公式 (3.5):

$$\begin{array}{cl}{\mathbf{r^{\prime}}(t)} & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left\lbrack {\left( {3\left( {t + \text{Δ}t} \right) + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\left( {t + \text{Δ}t} \right)^{2} - 4\left( {t + \text{Δ}t} \right) + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack - \left\lbrack {\left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left( {3t + 3\text{Δ}t + 4} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} + 2t\text{Δ}t + \left( {\text{Δ}t} \right)^{2} - 4t - 4\text{Δ}t + 3} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left( {3\text{Δ}t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t\text{Δ}t + \left( {\text{Δ}t} \right)^{2} - 4\text{Δ}t} \right)\mspace{2mu}\mathbf{\text{j}}}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\left( {3\mspace{2mu}\mathbf{\text{i}} + \left( {2t + \text{Δ}t - 4} \right)\mspace{2mu}\mathbf{\text{j}}} \right)} \\ & {= 3\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 4} \right)\mspace{2mu}\mathbf{\text{j}}.}\end{array}$$

$$\begin{array}{cl}{\mathbf{r^{\prime}}(t)} & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left\lbrack {\left( {3\left( {t + \text{Δ}t} \right) + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\left( {t + \text{Δ}t} \right)^{2} - 4\left( {t + \text{Δ}t} \right) + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack - \left\lbrack {\left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left( {3t + 3\text{Δ}t + 4} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {3t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{2} + 2t\text{Δ}t + \left( {\text{Δ}t} \right)^{2} - 4t - 4\text{Δ}t + 3} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {t^{2} - 4t + 3} \right)\mspace{2mu}\mathbf{\text{j}}}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\left( {3\text{Δ}t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t\text{Δ}t + \left( {\text{Δ}t} \right)^{2} - 4\text{Δ}t} \right)\mspace{2mu}\mathbf{\text{j}}}{\text{Δ}t}} \\ & {= \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\left( {3\mspace{2mu}\mathbf{\text{i}} + \left( {2t + \text{Δ}t - 4} \right)\mspace{2mu}\mathbf{\text{j}}} \right)} \\ & {= 3\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 4} \right)\mspace{2mu}\mathbf{\text{j}}.}\end{array}$$

Use the definition to calculate the derivative of the function $\mathbf{\text{r}}(t) = \left( {2t^{2} + 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t - 6} \right)\mspace{2mu}\mathbf{\text{j}}.$

用定义计算函数 $\mathbf{\text{r}}(t) = \left( {2t^{2} + 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t - 6} \right)\mspace{2mu}\mathbf{\text{j}}$ 的导数。

Notice that in the calculations in Example 3.4, we could also obtain the answer by first calculating the derivative of each component function, then putting these derivatives back into the vector-valued function. This is always true for calculating the derivative of a vector-valued function, whether it is in two or three dimensions. We state this in the following theorem. The proof of this theorem follows directly from the definitions of the limit of a vector-valued function and the derivative of a vector-valued function.

注意,在示例 3.4 的计算中,也可以先求出各分量函数的导数,再把这些导数代回向量值函数中得到答案。对二维或三维的向量值函数求导,这一点始终成立。我们在下面的定理中陈述这一结论。该定理的证明直接由向量值函数极限与导数的定义推出。

Differentiation of Vector-Valued Functions 向量值函数的求导法则

Let *f, g,* and *h* be differentiable functions of *t.*

设 $f, g, h$ 为 $t$ 的可微函数。

1. If $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}},$ then $\mathbf{r^{\prime}}(t) = f^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + g^{\prime}(t)\mspace{2mu}\mathbf{\text{j}}.$

1. 若 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$,则 $\mathbf{r^{\prime}}(t) = f^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + g^{\prime}(t)\mspace{2mu}\mathbf{\text{j}}$。

2. If $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},$ then $\mathbf{r^{\prime}}(t) = f^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + g^{\prime}(t)\mspace{2mu}\mathbf{\text{j}} + h^{\prime}(t)\mspace{2mu}\mathbf{\text{k}}.$

2. 若 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$,则 $\mathbf{r^{\prime}}(t) = f^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + g^{\prime}(t)\mspace{2mu}\mathbf{\text{j}} + h^{\prime}(t)\mspace{2mu}\mathbf{\text{k}}$。

Calculating the Derivative of Vector-Valued Functions 计算向量值函数的导数

Use Differentiation of Vector-Valued Functions to calculate the derivative of each of the following functions.

利用"向量值函数的求导法则"计算下列每个函数的导数。

1. $\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}}$

1. $\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}}$

2. $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

2. $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

3. $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$

3. $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$

Solution

We use Differentiation of Vector-Valued Functions and what we know about differentiating functions of one variable.

我们运用"向量值函数的求导法则"以及一元函数求导的知识。

1. The first component of $\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}}$ is $f(t) = 6t + 8.$ The second component is $g(t) = 4t^{2} + 2t - 3.$ We have $f^{\prime}(t) = 6$ and $g^{\prime}(t) = 8t + 2,$ so the theorem gives $\mathbf{r^{\prime}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}}.$

1. $\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}}$ 的第一个分量是 $f(t) = 6t + 8$,第二个分量是 $g(t) = 4t^{2} + 2t - 3$。由 $f^{\prime}(t) = 6$ 与 $g^{\prime}(t) = 8t + 2$,根据定理得 $\mathbf{r^{\prime}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}}$。

2. The first component is $f(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t$ and the second component is $g(t) = 4\mspace{2mu}\text{sin}\mspace{2mu} t.$ We have $f^{\prime}(t) = -3\mspace{2mu}\text{sin}\mspace{2mu} t$ and $g^{\prime}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t,$ so we obtain $\mathbf{r^{\prime}}(t) = -3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$

2. 第一个分量是 $f(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t$,第二个分量是 $g(t) = 4\mspace{2mu}\text{sin}\mspace{2mu} t$。由 $f^{\prime}(t) = -3\mspace{2mu}\text{sin}\mspace{2mu} t$ 与 $g^{\prime}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t$,得 $\mathbf{r^{\prime}}(t) = -3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$。

3. The first component of $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$ is $f(t) = e^{t}\text{sin}\mspace{2mu} t,$ the second component is $g(t) = e^{t}\text{cos}\mspace{2mu} t,$ and the third component is $h(t) = - e^{2t}.$ We have $f^{\prime}(t) = e^{t}\left( {\text{sin}\mspace{2mu} t + \text{cos}\mspace{2mu} t} \right),$ $g^{\prime}(t) = e^{t}\left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right),$ and $h^{\prime}(t) = -2e^{2t},$ so the theorem gives $\mathbf{r^{\prime}}(t) = e^{t}\left( {\text{sin}\mspace{2mu} t + \text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + e^{t}\left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}} - 2e^{2t}\mspace{2mu}\mathbf{\text{k}}.$

3. $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$ 的第一个分量为 $f(t) = e^{t}\text{sin}\mspace{2mu} t$,第二个分量为 $g(t) = e^{t}\text{cos}\mspace{2mu} t$,第三个分量为 $h(t) = -e^{2t}$。由 $f^{\prime}(t) = e^{t}\left( {\text{sin}\mspace{2mu} t + \text{cos}\mspace{2mu} t} \right)$、$g^{\prime}(t) = e^{t}\left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right)$ 与 $h^{\prime}(t) = -2e^{2t}$,根据定理得 $\mathbf{r^{\prime}}(t) = e^{t}\left( {\text{sin}\mspace{2mu} t + \text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + e^{t}\left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}} - 2e^{2t}\mspace{2mu}\mathbf{\text{k}}$。

Calculate the derivative of the function

计算下列函数的导数

$$\mathbf{\text{r}}(t) = \left( {t\mspace{2mu}\text{ln}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5e^{t}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{k}}.$$

$$\mathbf{\text{r}}(t) = \left( {t\mspace{2mu}\text{ln}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5e^{t}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\text{cos}\mspace{2mu} t - \text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{k}}.$$

We can extend to vector-valued functions the properties of the derivative that we presented in the Introduction to Derivatives. In particular, the constant multiple rule, the sum and difference rules, the product rule, and the chain rule all extend to vector-valued functions. However, in the case of the product rule, there are actually three extensions: (1) for a real-valued function multiplied by a vector-valued function, (2) for the dot product of two vector-valued functions, and (3) for the cross product of two vector-valued functions.

在"导数导论"中给出的导数性质都可以推广到向量值函数。具体而言,常数倍法则、和差法则、乘积法则与链式法则都适用于向量值函数。不过,乘积法则实际上有三种推广:(1) 实值函数乘以向量值函数;(2) 两个向量值函数的点积;(3) 两个向量值函数的叉积。

Properties of the Derivative of Vector-Valued Functions 向量值函数导数的性质

Let r and u be differentiable vector-valued functions of *t*, let *f* be a differentiable real-valued function of *t,* and let *c* be a scalar.

ru 为 $t$ 的可微向量值函数,设 $f$ 为 $t$ 的可微实值函数,$c$ 为标量。

$$\begin{array}{lcrllcc}\text{i.} & & {\frac{d}{dt}\left\lbrack {c\mspace{2mu}\mathbf{\text{r}}(t)} \right\rbrack} & = & {c\mspace{2mu}\mathbf{r^{\prime}}(t)} & & \text{Scalar multiple} \\ \text{ii.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \pm \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t) \pm \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Sum and difference} \\ \text{iii.} & & {\frac{d}{dt}\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {f^{\prime}(t)\mspace{2mu}\mathbf{\text{u}}(t) + f(t)\mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Scalar product} \\ \text{iv.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Dot product} \\ \text{v.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{u^{\prime}}(t)} & & \text{Cross product} \\ \text{vi.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}\left( {f(t)} \right)} \right\rbrack} & = & {\mathbf{r^{\prime}}\left( {f(t)} \right) \cdot f^{\prime}(t)} & & \text{Chain rule} \\ \text{vii.} & & {\text{If}\ \mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t)} & = & {c,\ \text{then}\ \mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t) = 0.}} & & \end{array}$$

$$\begin{array}{lcrllcc}\text{i.} & & {\frac{d}{dt}\left\lbrack {c\mspace{2mu}\mathbf{\text{r}}(t)} \right\rbrack} & = & {c\mspace{2mu}\mathbf{r^{\prime}}(t)} & & \text{Scalar multiple} \\ \text{ii.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \pm \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t) \pm \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Sum and difference} \\ \text{iii.} & & {\frac{d}{dt}\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {f^{\prime}(t)\mspace{2mu}\mathbf{\text{u}}(t) + f(t)\mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Scalar product} \\ \text{iv.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} & & \text{Dot product} \\ \text{v.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right\rbrack} & = & {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{u^{\prime}}(t)} & & \text{Cross product} \\ \text{vi.} & & {\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}\left( {f(t)} \right)} \right\rbrack} & = & {\mathbf{r^{\prime}}\left( {f(t)} \right) \cdot f^{\prime}(t)} & & \text{Chain rule} \\ \text{vii.} & & {\text{If}\ \mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t)} & = & {c,\ \text{then}\ \mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t) = 0.}} & & \end{array}$$

Proof 证明

The proofs of the first two properties follow directly from the definition of the derivative of a vector-valued function. The third property can be derived from the first two properties, along with the product rule from the Introduction to Derivatives. Let $\mathbf{\text{u}}(t) = g(t)\mspace{2mu}\mathbf{\text{i}} + h(t)\mspace{2mu}\mathbf{\text{j}}.$ Then

前两条性质直接由向量值函数导数的定义推出。第三条性质可由前两条性质以及"导数导论"中的乘积法则导出。令 $\mathbf{\text{u}}(t) = g(t)\mspace{2mu}\mathbf{\text{i}} + h(t)\mspace{2mu}\mathbf{\text{j}}$,则

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \frac{d}{dt}\left\lbrack {f(t)\left( {g(t)\mspace{2mu}\mathbf{\text{i}} + h(t)\mspace{2mu}\mathbf{\text{j}}} \right)} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {f(t)g(t)\mspace{2mu}\mathbf{\text{i}} + f(t)h(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {f(t)g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \frac{d}{dt}\left\lbrack {f(t)h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( {f^{\prime}(t)g(t) + f(t)g^{\prime}(t)} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {f^{\prime}(t)h(t) + f(t)h^{\prime}(t)} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= f^{\prime}(t)\mspace{2mu}\mathbf{\text{u}}(t) + f(t)\mspace{2mu}\mathbf{\text{u^{\prime}}(t).}\end{array}$$

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \frac{d}{dt}\left\lbrack {f(t)\left( {g(t)\mspace{2mu}\mathbf{\text{i}} + h(t)\mspace{2mu}\mathbf{\text{j}}} \right)} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {f(t)g(t)\mspace{2mu}\mathbf{\text{i}} + f(t)h(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {f(t)g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \frac{d}{dt}\left\lbrack {f(t)h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( {f^{\prime}(t)g(t) + f(t)g^{\prime}(t)} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {f^{\prime}(t)h(t) + f(t)h^{\prime}(t)} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= f^{\prime}(t)\mspace{2mu}\mathbf{\text{u}}(t) + f(t)\mspace{2mu}\mathbf{\text{u^{\prime}}(t).}\end{array}$$

To prove property iv. let $\mathbf{\text{r}}(t) = f_{1}(t)\mspace{2mu}\mathbf{\text{i}} + g_{1}(t)\mspace{2mu}\mathbf{\text{j}}$ and $\mathbf{\text{u}}(t) = f_{2}(t)\mspace{2mu}\mathbf{\text{i}} + g_{2}(t)\mspace{2mu}\mathbf{\text{j}}.$ Then

为证明性质 iv.,令 $\mathbf{\text{r}}(t) = f_{1}(t)\mspace{2mu}\mathbf{\text{i}} + g_{1}(t)\mspace{2mu}\mathbf{\text{j}}$,$\mathbf{\text{u}}(t) = f_{2}(t)\mspace{2mu}\mathbf{\text{i}} + g_{2}(t)\mspace{2mu}\mathbf{\text{j}}$,则

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \frac{d}{dt}\left\lbrack {f_{1}(t)f_{2}(t) + g_{1}(t)g_{2}(t)} \right\rbrack} \\ & {= f_{1}{}^{\prime}(t)f_{2}(t) + f_{1}(t)f_{2}{}^{\prime}(t) + g_{1}{}^{\prime}(t)g_{2}(t) + g_{1}(t)g_{2}{}^{\prime}(t)} \\ & {= f_{1}{}^{\prime}(t)f_{2}(t) + g_{1}{}^{\prime}(t)g_{2}(t) + f_{1}(t)f_{2}{}^{\prime}(t) + g_{1}(t)g_{2}{}^{\prime}(t)} \\ & {= \left( {f_{1}{}^{\prime}\mspace{2mu}\mathbf{\text{i}} + g_{1}{}^{\prime}\mspace{2mu}\mathbf{\text{j}}} \right) \cdot \left( {f_{2}\mspace{2mu}\mathbf{\text{i}} + g_{2}\mspace{2mu}\mathbf{\text{j}}} \right) + \left( {f_{1}\mspace{2mu}\mathbf{\text{i}} + g_{1}\mspace{2mu}\mathbf{\text{j}}} \right) \cdot \left( {f_{2}{}^{\prime}\mspace{2mu}\mathbf{\text{i}} + g_{2}{}^{\prime}\mspace{2mu}\mathbf{\text{j}}} \right)} \\ & {= \mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t).}\end{array}$$

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \frac{d}{dt}\left\lbrack {f_{1}(t)f_{2}(t) + g_{1}(t)g_{2}(t)} \right\rbrack} \\ & {= f_{1}{}^{\prime}(t)f_{2}(t) + f_{1}(t)f_{2}{}^{\prime}(t) + g_{1}{}^{\prime}(t)g_{2}(t) + g_{1}(t)g_{2}{}^{\prime}(t)} \\ & {= f_{1}{}^{\prime}(t)f_{2}(t) + g_{1}{}^{\prime}(t)g_{2}(t) + f_{1}(t)f_{2}{}^{\prime}(t) + g_{1}(t)g_{2}{}^{\prime}(t)} \\ & {= \left( {f_{1}{}^{\prime}\mspace{2mu}\mathbf{\text{i}} + g_{1}{}^{\prime}\mspace{2mu}\mathbf{\text{j}}} \right) \cdot \left( {f_{2}\mspace{2mu}\mathbf{\text{i}} + g_{2}\mspace{2mu}\mathbf{\text{j}}} \right) + \left( {f_{1}\mspace{2mu}\mathbf{\text{i}} + g_{1}\mspace{2mu}\mathbf{\text{j}}} \right) \cdot \left( {f_{2}{}^{\prime}\mspace{2mu}\mathbf{\text{i}} + g_{2}{}^{\prime}\mspace{2mu}\mathbf{\text{j}}} \right)} \\ & {= \mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t).}\end{array}$$

The proof of property v. is similar to that of property iv. Property vi. can be proved using the chain rule. Last, property vii. follows from property iv:

性质 v. 的证明与性质 iv. 类似。性质 vi. 可用链式法则证明。最后,性质 vii. 由性质 iv. 推出:

$$\begin{array}{rll}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t)} \right\rbrack} & = & {\frac{d}{dt}\lbrack c\rbrack} \\ {\mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{r^{\prime}}(t)} & = & 0 \\ {2\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t)}} & = & 0 \\ {\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t)}} & = & {0.}\end{array}$$

$$\begin{array}{rll}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t)} \right\rbrack} & = & {\frac{d}{dt}\lbrack c\rbrack} \\ {\mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{r}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{r^{\prime}}(t)} & = & 0 \\ {2\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t)}} & = & 0 \\ {\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{r^{\prime}}(t)}} & = & {0.}\end{array}$$

证毕。

Now for some examples using these properties.

下面给出运用这些性质的几个例子。

Using the Properties of Derivatives of Vector-Valued Functions 运用向量值函数导数的性质

Given the vector-valued functions

给定向量值函数

$$\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}$$

$$\mathbf{\text{r}}(t) = \left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}$$

and

$$\mathbf{\text{u}}(t) = \left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}},$$

$$\mathbf{\text{u}}(t) = \left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}},$$

calculate each of the following derivatives using the properties of the derivative of vector-valued functions.

利用向量值函数导数的性质,计算下列各个导数。

1. $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack$

1. $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack$

2. $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack$

2. $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack$

Solution

1. We have $\mathbf{r^{\prime}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\mspace{2mu}\mathbf{\text{k}}$ and $\mathbf{u^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}.$ Therefore, according to property iv.:

1. 我们有 $\mathbf{r^{\prime}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\mspace{2mu}\mathbf{\text{k}}$,$\mathbf{u^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}$。因此,根据性质 iv.:

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} \\ & {= \left( {6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {\left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {\quad + \left( {\left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= 6\left( {t^{2} - 3} \right) + \left( {8t + 2} \right)\left( {2t + 4} \right) + 5\left( {t^{3} - 3t} \right)} \\ & {\quad + 2t\left( {6t + 8} \right) + 2\left( {4t^{2} + 2t - 3} \right) + 5t\left( {3t^{2} - 3} \right)} \\ & {= 20t^{3} + 42t^{2} + 26t - 16.}\end{array}$$

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t)} \right\rbrack} & {= \mathbf{r^{\prime}}(t) \cdot \mspace{2mu}\mathbf{\text{u}}(t) + \mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{\text{u^{\prime}}(t)}} \\ & {= \left( {6\mspace{2mu}\mathbf{\text{i}} + \left( {8t + 2} \right)\mspace{2mu}\mathbf{\text{j}} + 5\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {\left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {\quad + \left( {\left( {6t + 8} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t^{2} + 2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= 6\left( {t^{2} - 3} \right) + \left( {8t + 2} \right)\left( {2t + 4} \right) + 5\left( {t^{3} - 3t} \right)} \\ & {\quad + 2t\left( {6t + 8} \right) + 2\left( {4t^{2} + 2t - 3} \right) + 5t\left( {3t^{2} - 3} \right)} \\ & {= 20t^{3} + 42t^{2} + 26t - 16.}\end{array}$$

2. First, we need to adapt property v. for this problem:

2. 首先,需要把性质 v. 改造以适用于本问题:

$$\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack = \mathbf{u^{\prime}}(t)\ \times \ \mathbf{u^{\prime}}(t) + \mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u''}}(t).$$

$$\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack = \mathbf{u^{\prime}}(t)\ \times \ \mathbf{u^{\prime}}(t) + \mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u''}}(t).$$

Recall that the cross product of any vector with itself is zero. Furthermore, $\mathbf{\text{u''}}(t)$ represents the second derivative of $\mathbf{\text{u}}(t)\text{:}$

回想任意向量与自身的叉积为零。此外,$\mathbf{\text{u''}}(t)$ 表示 $\mathbf{\text{u}}(t)$ 的二阶导数:

$$\mathbf{\text{u''}}(t) = \frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{u^{\prime}}(t)} \right\rbrack = \frac{d}{dt}\left\lbrack {2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack = 2\mspace{2mu}\mathbf{\text{i}} + 6t\mspace{2mu}\mathbf{\text{k}}.$$

$$\mathbf{\text{u''}}(t) = \frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{u^{\prime}}(t)} \right\rbrack = \frac{d}{dt}\left\lbrack {2t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack = 2\mspace{2mu}\mathbf{\text{i}} + 6t\mspace{2mu}\mathbf{\text{k}}.$$

Therefore,

因此,

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack} & {= \mathbf{0} + \left( {\left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}}} \right)\ \times \ \left( {2\mspace{2mu}\mathbf{\text{i}} + 6t\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= \left| \begin{matrix} \mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\ {t^{2} - 3} & {2t + 4} & {t^{3} - 3t} \\ 2 & 0 & {6t} \end{matrix} \right|} \\ & {= 6t\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {6t\left( {t^{2} - 3} \right) - 2\left( {t^{3} - 3t} \right)} \right)\mspace{2mu}\mathbf{\text{j}} - 2\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & {= \left( {12t^{2} + 24t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {12t - 4t^{3}} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {4t + 8} \right)\mspace{2mu}\mathbf{\text{k}}.}\end{array}$$

$$\begin{array}{cl}{\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack} & {= \mathbf{0} + \left( {\left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - 3t} \right)\mspace{2mu}\mathbf{\text{k}}} \right)\ \times \ \left( {2\mspace{2mu}\mathbf{\text{i}} + 6t\mspace{2mu}\mathbf{\text{k}}} \right)} \\ & {= \left| \begin{matrix} \mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\ {t^{2} - 3} & {2t + 4} & {t^{3} - 3t} \\ 2 & 0 & {6t} \end{matrix} \right|} \\ & {= 6t\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {6t\left( {t^{2} - 3} \right) - 2\left( {t^{3} - 3t} \right)} \right)\mspace{2mu}\mathbf{\text{j}} - 2\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & {= \left( {12t^{2} + 24t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {12t - 4t^{3}} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {4t + 8} \right)\mspace{2mu}\mathbf{\text{k}}.}\end{array}$$

Given the vector-valued functions $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$ and $\mathbf{\text{u}}(t) = t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}},$ calculate $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{r^{\prime}}(t)} \right\rbrack$ and $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{r}}(t)} \right\rbrack.$

给定向量值函数 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} - e^{2t}\mspace{2mu}\mathbf{\text{k}}$ 与 $\mathbf{\text{u}}(t) = t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$,计算 $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{r}}(t) \cdot \mspace{2mu}\mathbf{r^{\prime}}(t)} \right\rbrack$ 与 $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{r}}(t)} \right\rbrack$。

Tangent Vectors and Unit Tangent Vectors 切向量与单位切向量

Recall from the Introduction to Derivatives that the derivative at a point can be interpreted as the slope of the tangent line to the graph at that point. In the case of a vector-valued function, the derivative provides a tangent vector to the curve represented by the function. Consider the vector-valued function $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$ The derivative of this function is $\mathbf{r^{\prime}}(t) = - \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$ If we substitute the value $t = {\pi\text{/}6}$ into both functions we get

由「导数导言」可知,一点处的导数可解释为该函数图像在该点处切线的斜率。对于向量值函数,其导数给出了该函数所表示曲线的一个切向量。考虑函数 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$ 该函数的导数为 $\mathbf{r^{\prime}}(t) = - \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$ 若将数值 $t = {\pi\text{/}6}$ 代入这两个函数,则得到

$$\mathbf{\text{r}}\left( \frac{\pi}{6} \right) = \frac{\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{1}{2}\mspace{2mu}\mathbf{\text{j}}\quad\text{and}\quad\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right) = - \frac{1}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{j}}.$$

$$\mathbf{\text{r}}\left( \frac{\pi}{6} \right) = \frac{\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{1}{2}\mspace{2mu}\mathbf{\text{j}}\quad\text{and}\quad\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right) = - \frac{1}{2}\mspace{2mu}\mathbf{\text{i}} + \frac{\sqrt{3}}{2}\mspace{2mu}\mathbf{\text{j}}.$$

The graph of this function appears in Figure 3.5, along with the vectors $\mathbf{\text{r}}\left( \frac{\pi}{6} \right)$ and $\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right).$

该函数的图像显示在图 3.5 中,同时还有向量 $\mathbf{\text{r}}\left( \frac{\pi}{6} \right)$ 与 $\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right).$

Notice that the vector $\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right)$ is tangent to the circle at the point corresponding to $t = {\pi\text{/}6}.$ This is an example of a tangent vector to the plane curve defined by $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}.$

注意向量 $\mathbf{r^{\prime}}\left( \frac{\pi}{6} \right)$ 在对应于 $t = {\pi\text{/}6}$ 的点处与圆相切。这是平面曲线 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$ 的一个切向量的例子。

Let C be a curve defined by a vector-valued function r, and assume that $\mathbf{r^{\prime}}(t)$ exists when $t = t_{0}.$ A tangent vector v at $t = t_{0}$ is any vector such that, when the tail of the vector is placed at point $\mathbf{\text{r}}\left( t_{0} \right)$ on the graph, vector v is tangent to curve *C.* Vector $\mathbf{r^{\prime}}\left( t_{0} \right)$ is an example of a tangent vector at point $t = t_{0}.$ Furthermore, assume that $\mathbf{r^{\prime}}(t) \neq \mspace{2mu}\mathbf{0}.$ The principal unit tangent vector at *t* is defined to be

设 *C* 是由向量值函数 r 定义的曲线,并假定当 $t = t_{0}$ 时 $\mathbf{r^{\prime}}(t)$ 存在。在 $t = t_{0}$ 处的一个切向量 v 是满足如下条件的任意向量:当把该向量的起点置于图像上的点 $\mathbf{\text{r}}\left( t_{0} \right)$ 时,向量 v 与曲线 *C* 相切。向量 $\mathbf{r^{\prime}}\left( t_{0} \right)$ 就是在点 $t = t_{0}$ 处的一个切向量的例子。此外,假定 $\mathbf{r^{\prime}}(t) \neq \mspace{2mu}\mathbf{0}$。在 *t* 处的主单位切向量定义为

$$\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}},$$ (3.6)

$$\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}},$$ (3.6)

provided ${\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} \neq 0.$

其中 ${\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} \neq 0.$

The unit tangent vector is exactly what it sounds like: a unit vector that is tangent to the curve. To calculate a unit tangent vector, first find the derivative $\mathbf{r^{\prime}}(t).$ Second, calculate the magnitude of the derivative. The third step is to divide the derivative by its magnitude.

单位切向量顾名思义:是与曲线相切的单位向量。计算单位切向量的步骤为:先求导数 $\mathbf{r^{\prime}}(t)$;再计算导数的模;第三步用导数除以它的模。

Finding a Unit Tangent Vector 求单位切向量

Find the unit tangent vector for each of the following vector-valued functions:

求下列每个向量值函数的单位切向量:

1. $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

1. $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}$

2. $\mathbf{\text{u}}(t) = \left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2 - 4t^{3}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t + 5} \right)\mspace{2mu}\mathbf{\text{k}}$

2. $\mathbf{\text{u}}(t) = \left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2 - 4t^{3}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t + 5} \right)\mspace{2mu}\mathbf{\text{k}}$

Solution

1.

1.

$\begin{array}{lrll} \text{First step:} & {\mathbf{r^{\prime}}(t)} & = & {{-sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}} \\ \text{Second step:} & {\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} & = & {\sqrt{\left( {\text{−}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {\text{cos}\mspace{2mu} t} \right)^{2}} = 1} \\ \text{Third step:} & {\mathbf{\text{T}}(t)} & = & {\frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} = \frac{\text{−sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}}{1} = \text{−sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}} \end{array}$

$\begin{array}{lrll} \text{First step:} & {\mathbf{r^{\prime}}(t)} & = & {{-sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}} \\ \text{Second step:} & {\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} & = & {\sqrt{\left( {\text{−}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {\text{cos}\mspace{2mu} t} \right)^{2}} = 1} \\ \text{Third step:} & {\mathbf{\text{T}}(t)} & = & {\frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}} = \frac{\text{−sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}}{1} = \text{−sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}}} \end{array}$

2.

2.

$\begin{array}{cccl} \text{First step:} & {\mathbf{u^{\prime}}(t)} & = & {\left( {6t + 2} \right)\mspace{2mu}\mathbf{\text{i}} - 12t^{2}\mspace{2mu}\mathbf{\text{j}} + 6\mspace{2mu}\mathbf{\text{k}}} \\ \text{Second step:} & {\text{‖}{\mspace{2mu}\mathbf{u^{\prime}}(t)}\text{‖}} & = & \sqrt{\left( {6t + 2} \right)^{2} + \left( {-12t^{2}} \right)^{2} + 6^{2}} \\ & & = & \sqrt{144t^{4} + 36t^{2} + 24t + 40} \\ & & = & {2\sqrt{36t^{4} + 9t^{2} + 6t + 10}} \\ \text{Third step:} & {\mathbf{\text{T}}(t)} & = & {\frac{\mathbf{u^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{u^{\prime}}(t)}\text{‖}} = \frac{\left( {6t + 2} \right)\mspace{2mu}\mathbf{\text{i}} - 12t^{2}\mspace{2mu}\mathbf{\text{j}} + 6\mspace{2mu}\mathbf{\text{k}}}{2\sqrt{36t^{4} + 9t^{2} + 6t + 10}}} \\ & & = & {\frac{3t + 1}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{i}} - \frac{6t^{2}}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{j}} + \frac{3}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{k}}} \end{array}$

$\begin{array}{cccl} \text{First step:} & {\mathbf{u^{\prime}}(t)} & = & {\left( {6t + 2} \right)\mspace{2mu}\mathbf{\text{i}} - 12t^{2}\mspace{2mu}\mathbf{\text{j}} + 6\mspace{2mu}\mathbf{\text{k}}} \\ \text{Second step:} & {\text{‖}{\mspace{2mu}\mathbf{u^{\prime}}(t)}\text{‖}} & = & \sqrt{\left( {6t + 2} \right)^{2} + \left( {-12t^{2}} \right)^{2} + 6^{2}} \\ & & = & \sqrt{144t^{4} + 36t^{2} + 24t + 40} \\ & & = & {2\sqrt{36t^{4} + 9t^{2} + 6t + 10}} \\ \text{Third step:} & {\mathbf{\text{T}}(t)} & = & {\frac{\mathbf{u^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{u^{\prime}}(t)}\text{‖}} = \frac{\left( {6t + 2} \right)\mspace{2mu}\mathbf{\text{i}} - 12t^{2}\mspace{2mu}\mathbf{\text{j}} + 6\mspace{2mu}\mathbf{\text{k}}}{2\sqrt{36t^{4} + 9t^{2} + 6t + 10}}} \\ & & = & {\frac{3t + 1}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{i}} - \frac{6t^{2}}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{j}} + \frac{3}{\sqrt{36t^{4} + 9t^{2} + 6t + 10}}\mspace{2mu}\mathbf{\text{k}}} \end{array}$

Find the unit tangent vector for the vector-valued function

求下列向量值函数的单位切向量:

$$\mathbf{\text{r}}(t) = \left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 1} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t - 2} \right)\mspace{2mu}\mathbf{\text{k}}.$$

$$\mathbf{\text{r}}(t) = \left( {t^{2} - 3} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t + 1} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t - 2} \right)\mspace{2mu}\mathbf{\text{k}}.$$

Integrals of Vector-Valued Functions 向量值函数的积分

We introduced antiderivatives of real-valued functions in Antiderivatives and definite integrals of real-valued functions in The Definite Integral. Each of these concepts can be extended to vector-valued functions. Also, just as we can calculate the derivative of a vector-valued function by differentiating the component functions separately, we can calculate the antiderivative in the same manner. Furthermore, the Fundamental Theorem of Calculus applies to vector-valued functions as well.

我们在「反导数」中引入了实值函数的反导数,在「定积分」中引入了实值函数的定积分。这些概念均可推广到向量值函数。此外,正如我们可以通过对各分量函数分别求导来计算向量值函数的导数,也可以用同样的方式计算其反导数。而且,微积分基本定理同样适用于向量值函数。

The antiderivative of a vector-valued function appears in applications. For example, if a vector-valued function represents the velocity of an object at time *t*, then its antiderivative represents position. Or, if the function represents the acceleration of the object at a given time, then the antiderivative represents its velocity.

向量值函数的反导数会出现在应用问题中。例如,若一个向量值函数表示某物体在时刻 *t* 的速度,则它的反导数表示该物体的位置。又若该函数表示该物体在给定时刻的加速度,则其反导数表示该物体的速度。

Let *f, g,* and *h* be integrable real-valued functions over the closed interval $\left\lbrack {a,b} \right\rbrack.$

设 *f*、*g*、*h* 为闭区间 $\left\lbrack {a,b} \right\rbrack$ 上可积的实值函数。

1. The indefinite integral of a vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ is

1. 向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 的不定积分为

$${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}.$$ (3.7)

$${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}.$$ (3.7)

The definite integral of a vector-valued function is

向量值函数的定积分为

$${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}.$$ (3.8)

$${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}.$$ (3.8)

2. The indefinite integral of a vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ is

2. 向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 的不定积分为

$${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}.$$ (3.9)

$${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}.$$ (3.9)

The definite integral of the vector-valued function is

该向量值函数的定积分为

$${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}.$$ (3.10)

$${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}.$$ (3.10)

Since the indefinite integral of a vector-valued function involves indefinite integrals of the component functions, each of these component integrals contains an integration constant. They can all be different. For example, in the two-dimensional case, we can have

由于向量值函数的不定积分涉及各分量函数的不定积分,这些分量积分中的每一个都含有积分常数。它们可以各不相同。例如,在二维情形中,我们有

$${\int{f(t)dt}} = F(t) + C_{1}\ \text{and}\ {\int{g(t)dt}} = G(t) + C_{2},$$

$${\int{f(t)dt}} = F(t) + C_{1}\ \text{and}\ {\int{g(t)dt}} = G(t) + C_{2},$$

where *F* and *G* are antiderivatives of *f* and *g,* respectively. Then

其中 *F* 与 *G* 分别为 *f* 与 *g* 的反导数。于是

$$\begin{array}{cl} {\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} & {= \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( {F(t) + C_{1}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {G(t) + C_{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= F(t)\mspace{2mu}\mathbf{\text{i}} + G(t)\mspace{2mu}\mathbf{\text{j}} + C_{1}\mspace{2mu}\mathbf{\text{i}} + C_{2}\mspace{2mu}\mathbf{\text{j}}} \\ & {= F(t)\mspace{2mu}\mathbf{\text{i}} + G(t)\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{C}},} \end{array}$$

$$\begin{array}{cl} {\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}} & {= \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( {F(t) + C_{1}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {G(t) + C_{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= F(t)\mspace{2mu}\mathbf{\text{i}} + G(t)\mspace{2mu}\mathbf{\text{j}} + C_{1}\mspace{2mu}\mathbf{\text{i}} + C_{2}\mspace{2mu}\mathbf{\text{j}}} \\ & {= F(t)\mspace{2mu}\mathbf{\text{i}} + G(t)\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{C}},} \end{array}$$

where $\mathbf{\text{C}} = C_{1}\mspace{2mu}\mathbf{\text{i}} + C_{2}\mspace{2mu}\mathbf{\text{j}}.$ Therefore, the integration constant becomes a constant vector.

其中 $\mathbf{\text{C}} = C_{1}\mspace{2mu}\mathbf{\text{i}} + C_{2}\mspace{2mu}\mathbf{\text{j}}$。因此,积分常数变成一个常向量。

Integrating Vector-Valued Functions 向量值函数的积分

Calculate each of the following integrals:

计算下列各个积分:

1. ${\int\left\lbrack {\left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t - 6} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t^{3} + 5t^{2} - 4} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack}\mspace{2mu} dt$

1. ${\int\left\lbrack {\left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t - 6} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t^{3} + 5t^{2} - 4} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack}\mspace{2mu} dt$

2. ${\int\left\lbrack {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} \right\rbrack}\mspace{2mu} dt$

2. ${\int\left\lbrack {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} \right\rbrack}\mspace{2mu} dt$

3. $\int_{0}^{\pi\text{/}3}{\left\lbrack {\text{sin}\mspace{2mu} 2t\mspace{2mu}\mathbf{\text{i}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + e^{-2t}\mspace{2mu}\mathbf{\text{k}}} \right\rbrack\mspace{2mu} dt}$

3. $\int_{0}^{\pi\text{/}3}{\left\lbrack {\text{sin}\mspace{2mu} 2t\mspace{2mu}\mathbf{\text{i}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + e^{-2t}\mspace{2mu}\mathbf{\text{k}}} \right\rbrack\mspace{2mu} dt}$

Solution

1. We use the first part of the definition of the integral of a space curve:

1. 我们使用空间曲线积分定义的第一部分:

$$\begin{array}{l} {{\int\left\lbrack {\left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t - 6} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t^{3} + 5t^{2} - 4} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack}dt} \\ \\ {\mspace{54mu} = \left\lbrack {\mspace{2mu}{\int{3t^{2} + 2t\mspace{2mu} dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{3t - 6}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{6t^{3} + 5t^{2} - 4}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ {\mspace{54mu} = \left( {t^{3} + t^{2}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\frac{3}{2}t^{2} - 6t} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{3}{2}t^{4} + \frac{5}{3}t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{k}} + \mspace{2mu}\mathbf{\text{C}}.} \end{array}$$

$$\begin{array}{l} {{\int\left\lbrack {\left( {3t^{2} + 2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t - 6} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {6t^{3} + 5t^{2} - 4} \right)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack}dt} \\ \\ {\mspace{54mu} = \left\lbrack {\mspace{2mu}{\int{3t^{2} + 2t\mspace{2mu} dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{3t - 6}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{6t^{3} + 5t^{2} - 4}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ {\mspace{54mu} = \left( {t^{3} + t^{2}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\frac{3}{2}t^{2} - 6t} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{3}{2}t^{4} + \frac{5}{3}t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{k}} + \mspace{2mu}\mathbf{\text{C}}.} \end{array}$$

2. First calculate $\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle\text{:}$

2. 先计算 $\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle\text{:}$

$$\begin{array}{cl} {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} & {= \left| \begin{matrix} \mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\ t & t^{2} & t^{3} \\ t^{3} & t^{2} & t \end{matrix} \right|} \\ & {= \left( {t^{2}(t) - t^{3}\left( t^{2} \right)} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {t^{2} - t^{3}\left( t^{3} \right)} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t\left( t^{2} \right) - t^{2}\left( t^{3} \right)} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & {= \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{6} - t^{2}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

$$\begin{array}{cl} {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} & {= \left| \begin{matrix} \mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\ t & t^{2} & t^{3} \\ t^{3} & t^{2} & t \end{matrix} \right|} \\ & {= \left( {t^{2}(t) - t^{3}\left( t^{2} \right)} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {t^{2} - t^{3}\left( t^{3} \right)} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t\left( t^{2} \right) - t^{2}\left( t^{3} \right)} \right)\mspace{2mu}\mathbf{\text{k}}} \\ & {= \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{6} - t^{2}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

Next, substitute this back into the integral and integrate:

接着,将上式代回积分中并积分:

$$\begin{array}{cl} {{\int\left\lbrack {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} \right\rbrack}dt} & {= {\int{\left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{6} - t^{2}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{k}}\mspace{2mu} dt}}} \\ & {= \left( {\frac{t^{4}}{4} - \frac{t^{6}}{6}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\frac{t^{7}}{7} - \frac{t^{3}}{3}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{t^{4}}{4} - \frac{t^{6}}{6}} \right)\mspace{2mu}\mathbf{\text{k}} + \mspace{2mu}\mathbf{\text{C}}.} \end{array}$$

$$\begin{array}{cl} {{\int\left\lbrack {\left\langle {t,t^{2},t^{3}} \right\rangle\ \times \ \left\langle {t^{3},t^{2},t} \right\rangle} \right\rbrack}dt} & {= {\int{\left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {t^{6} - t^{2}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {t^{3} - t^{5}} \right)\mspace{2mu}\mathbf{\text{k}}\mspace{2mu} dt}}} \\ & {= \left( {\frac{t^{4}}{4} - \frac{t^{6}}{6}} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\frac{t^{7}}{7} - \frac{t^{3}}{3}} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{t^{4}}{4} - \frac{t^{6}}{6}} \right)\mspace{2mu}\mathbf{\text{k}} + \mspace{2mu}\mathbf{\text{C}}.} \end{array}$$

3. Use the second part of the definition of the integral of a space curve:

3. 使用空间曲线积分定义的第二部分:

$$\begin{array}{l} {\int_{0}^{\pi\text{/}3}{\left\lbrack {\text{sin}\mspace{2mu} 2t\mspace{2mu}\mathbf{\text{i}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + e^{-2t}\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} \\ \\ {= \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}{\text{sin}\mspace{2mu} 2t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}{\text{tan}\mspace{2mu} t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}e^{-2t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ {= \left. \left( {- \frac{1}{2}\text{cos}\mspace{2mu} 2t} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{i}} - \left. \left( {\text{ln}\left( {\text{cos}\mspace{2mu} t} \right)} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{j}} - \left. \left( {\frac{1}{2}e^{-2t}} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{k}}} \\ {= \left( {- \frac{1}{2}\text{cos}\ \frac{2\pi}{3} + \frac{1}{2}\text{cos}\mspace{2mu} 0} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {\text{ln}\left( {\text{cos}\ \frac{\pi}{3}} \right) - \text{ln}\left( {\text{cos}\mspace{2mu} 0} \right)} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {\frac{1}{2}e^{-2\pi\text{/}3} - \frac{1}{2}e^{-2{(0)}}} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {= \left( {\frac{1}{4} + \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {\text{−}\text{ln}\mspace{2mu} 2} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {\frac{1}{2}e^{-2\pi\text{/}3} - \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {= \frac{3}{4}\mspace{2mu}\mathbf{\text{i}} + \left( {\text{ln}\mspace{2mu} 2} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{1}{2} - \frac{1}{2}e^{-2\pi\text{/}3}} \right)\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

$$\begin{array}{l} {\int_{0}^{\pi\text{/}3}{\left\lbrack {\text{sin}\mspace{2mu} 2t\mspace{2mu}\mathbf{\text{i}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + e^{-2t}\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} \\ \\ {= \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}{\text{sin}\mspace{2mu} 2t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}{\text{tan}\mspace{2mu} t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{0}^{\pi\text{/}3}e^{-2t}}dt} \right\rbrack\mspace{2mu}\mathbf{\text{k}}} \\ {= \left. \left( {- \frac{1}{2}\text{cos}\mspace{2mu} 2t} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{i}} - \left. \left( {\text{ln}\left( {\text{cos}\mspace{2mu} t} \right)} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{j}} - \left. \left( {\frac{1}{2}e^{-2t}} \right) \right|_{0}^{\pi\text{/}3}\mspace{2mu}\mathbf{\text{k}}} \\ {= \left( {- \frac{1}{2}\text{cos}\ \frac{2\pi}{3} + \frac{1}{2}\text{cos}\mspace{2mu} 0} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {\text{ln}\left( {\text{cos}\ \frac{\pi}{3}} \right) - \text{ln}\left( {\text{cos}\mspace{2mu} 0} \right)} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {\frac{1}{2}e^{-2\pi\text{/}3} - \frac{1}{2}e^{-2{(0)}}} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {= \left( {\frac{1}{4} + \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{i}} - \left( {\text{−}\text{ln}\mspace{2mu} 2} \right)\mspace{2mu}\mathbf{\text{j}} - \left( {\frac{1}{2}e^{-2\pi\text{/}3} - \frac{1}{2}} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {= \frac{3}{4}\mspace{2mu}\mathbf{\text{i}} + \left( {\text{ln}\mspace{2mu} 2} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {\frac{1}{2} - \frac{1}{2}e^{-2\pi\text{/}3}} \right)\mspace{2mu}\mathbf{\text{k}}.} \end{array}$$

Calculate the following integral:

计算下列积分:

$${\int_{1}^{3}{\left\lbrack {\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t^{2} - 4t} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}}.$$

$${\int_{1}^{3}{\left\lbrack {\left( {2t + 4} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {3t^{2} - 4t} \right)\mspace{2mu}\mathbf{\text{j}}} \right\rbrack dt}}.$$

Section 3.2 Exercises 3.2 节习题

Compute the derivatives of the vector-valued functions.

计算下列向量值函数的导数。

41.

41.

$\mathbf{\text{r}}(t) = t^{3}\mspace{2mu}\mathbf{\text{i}} + 3t^{2}\mspace{2mu}\mathbf{\text{j}} + \frac{t^{3}}{6}\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = t^{3}\mspace{2mu}\mathbf{\text{i}} + 3t^{2}\mspace{2mu}\mathbf{\text{j}} + \frac{t^{3}}{6}\mspace{2mu}\mathbf{\text{k}}$

42\.

42\.

$\mathbf{\text{r}}(t) = \text{sin}(t)\mspace{2mu}\mathbf{\text{i}} + \text{cos}(t)\mspace{2mu}\mathbf{\text{j}} + e^{t}\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \text{sin}(t)\mspace{2mu}\mathbf{\text{i}} + \text{cos}(t)\mspace{2mu}\mathbf{\text{j}} + e^{t}\mspace{2mu}\mathbf{\text{k}}$

43.

43.

$\mathbf{\text{r}}(t) = e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}(3t)\mspace{2mu}\mathbf{\text{j}} + 10\sqrt{t}\mspace{2mu}\mathbf{\text{k}}.$ A sketch of the graph is shown here. Notice the varying periodic nature of the graph.

$\mathbf{\text{r}}(t) = e^{\text{−}t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}(3t)\mspace{2mu}\mathbf{\text{j}} + 10\sqrt{t}\mspace{2mu}\mathbf{\text{k}}$。此处给出了函数图像的示意图。注意图像具有周期性变化的特征。

44\.

44\.

$\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + 2e^{t}\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = e^{t}\mspace{2mu}\mathbf{\text{i}} + 2e^{t}\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$

45.

45.

$\mathbf{\text{r}}(t) = \mathbf{\text{i}} + \mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \mathbf{\text{i}} + \mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$

46\.

46\.

$\mathbf{\text{r}}(t) = te^{t}\mspace{2mu}\mathbf{\text{i}} + t\mspace{2mu}\text{ln}(t)\mspace{2mu}\mathbf{\text{j}} + \text{sin}(3t)\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = te^{t}\mspace{2mu}\mathbf{\text{i}} + t\mspace{2mu}\text{ln}(t)\mspace{2mu}\mathbf{\text{j}} + \text{sin}(3t)\mspace{2mu}\mathbf{\text{k}}$

47.

47.

$\mathbf{\text{r}}(t) = \frac{1}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \text{arctan}(t)\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t^{3}\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \frac{1}{t + 1}\mspace{2mu}\mathbf{\text{i}} + \text{arctan}(t)\mspace{2mu}\mathbf{\text{j}} + \text{ln}\mspace{2mu} t^{3}\mspace{2mu}\mathbf{\text{k}}$

48\.

48\.

$\mathbf{\text{r}}(t) = \text{tan}(2t)\mspace{2mu}\mathbf{\text{i}} + \text{sec}(2t)\mspace{2mu}\mathbf{\text{j}} + \text{sin}^{2}(t)\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \text{tan}(2t)\mspace{2mu}\mathbf{\text{i}} + \text{sec}(2t)\mspace{2mu}\mathbf{\text{j}} + \text{sin}^{2}(t)\mspace{2mu}\mathbf{\text{k}}$

49.

49.

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}(3t)\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\text{cos}(t)\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}(3t)\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\text{cos}(t)\mspace{2mu}\mathbf{\text{k}}$

50\.

50\.

$\mathbf{\text{r}}(t) = t^{2}\mspace{2mu}\mathbf{\text{i}} + te^{-2t}\mspace{2mu}\mathbf{\text{j}} - 5e^{-4t}\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = t^{2}\mspace{2mu}\mathbf{\text{i}} + te^{-2t}\mspace{2mu}\mathbf{\text{j}} - 5e^{-4t}\mspace{2mu}\mathbf{\text{k}}$

For the following problems, find a tangent vector at the indicated value of *t*.

对下列各题,在指定的 *t* 值处求切向量。

51.

51.

$\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + \text{sin}(2t)\mspace{2mu}\mathbf{\text{j}} + \text{cos}(3t)\mspace{2mu}\mathbf{\text{k}};t = \frac{\pi}{3}$

$\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + \text{sin}(2t)\mspace{2mu}\mathbf{\text{j}} + \text{cos}(3t)\mspace{2mu}\mathbf{\text{k}};t = \frac{\pi}{3}$

52\.

52\.

$\mathbf{\text{r}}(t) = 3t^{3}\mspace{2mu}\mathbf{\text{i}} + 2t^{2}\mspace{2mu}\mathbf{\text{j}} + \frac{1}{t}\mspace{2mu}\mathbf{\text{k}};t = 1$

$\mathbf{\text{r}}(t) = 3t^{3}\mspace{2mu}\mathbf{\text{i}} + 2t^{2}\mspace{2mu}\mathbf{\text{j}} + \frac{1}{t}\mspace{2mu}\mathbf{\text{k}};t = 1$

53.

53.

$\mathbf{\text{r}}(t) = 3e^{t}\mspace{2mu}\mathbf{\text{i}} + 2e^{-3t}\mspace{2mu}\mathbf{\text{j}} + 4e^{2t}\mspace{2mu}\mathbf{\text{k}};$ $t = \text{ln}(2)$

$\mathbf{\text{r}}(t) = 3e^{t}\mspace{2mu}\mathbf{\text{i}} + 2e^{-3t}\mspace{2mu}\mathbf{\text{j}} + 4e^{2t}\mspace{2mu}\mathbf{\text{k}};$ $t = \text{ln}(2)$

54\.

54\.

$\mathbf{\text{r}}(t) = \text{cos}(2t)\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}};t = \frac{\pi}{2}$

$\mathbf{\text{r}}(t) = \text{cos}(2t)\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}};t = \frac{\pi}{2}$

Find the unit tangent vector for the following parameterized curves.

求下列参数化曲线的单位切向量。

55.

55.

$\mathbf{\text{r}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \text{cos}(3t)\mspace{2mu}\mathbf{\text{j}} + 3\mspace{2mu}\text{sin}(4t)\mspace{2mu}\mathbf{\text{k}},$ $0 \leq t < 2\pi$ . Two views of this curve are presented here:

$\mathbf{\text{r}}(t) = 6\mspace{2mu}\mathbf{\text{i}} + \text{cos}(3t)\mspace{2mu}\mathbf{\text{j}} + 3\mspace{2mu}\text{sin}(4t)\mspace{2mu}\mathbf{\text{k}},$ $0 \leq t < 2\pi$ 。此处给出了该曲线的两个视图:

56\.

56\.

$\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}},$ $0 \leq t < 2\pi.$

$\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}},$ $0 \leq t < 2\pi.$

57.

57.

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}(4t)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}(4t)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}},1 \leq t \leq 2$

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}(4t)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}(4t)\mspace{2mu}\mathbf{\text{j}} + 5t\mspace{2mu}\mathbf{\text{k}},1 \leq t \leq 2$

58\.

58\.

$\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}}$

Let $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} - t^{4}\mspace{2mu}\mathbf{\text{k}}$ and $\mathbf{\text{s}}(t) = \text{sin}(t)\mspace{2mu}\mathbf{\text{i}} + e^{t}\mspace{2mu}\mathbf{\text{j}} + \text{cos}(t)\mspace{2mu}\mathbf{\text{k}}.$ Here is the graph of the function:

令 $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} - t^{4}\mspace{2mu}\mathbf{\text{k}}$ 且 $\mathbf{\text{s}}(t) = \text{sin}(t)\mspace{2mu}\mathbf{\text{i}} + e^{t}\mspace{2mu}\mathbf{\text{j}} + \text{cos}(t)\mspace{2mu}\mathbf{\text{k}}$。下图给出了该函数的图像:

Find the following.

求下列导数。

59.

59.

$\frac{d}{dt}\left\lbrack {\mathbf{\text{r}}\left( t^{2} \right)} \right\rbrack$

$\frac{d}{dt}\left\lbrack {\mathbf{\text{r}}\left( t^{2} \right)} \right\rbrack$

60\.

60\.

$\frac{d}{dt}\left\lbrack {t^{2} \cdot \mathbf{\text{s}}(t)} \right\rbrack$

$\frac{d}{dt}\left\lbrack {t^{2} \cdot \mathbf{\text{s}}(t)} \right\rbrack$

61.

61.

$\frac{d}{dt}\left\lbrack {\mathbf{\text{r}}(t) \cdot \mathbf{\text{s}}(t)} \right\rbrack$

$\frac{d}{dt}\left\lbrack {\mathbf{\text{r}}(t) \cdot \mathbf{\text{s}}(t)} \right\rbrack$

62\.

62\.

Compute the first, second, and third derivatives of $\mathbf{\text{r}}(t) = 3t\mspace{2mu}\mathbf{\text{i}} + 6\mspace{2mu}\text{ln}(t)\mspace{2mu}\mathbf{\text{j}} + 5e^{-3t}\mspace{2mu}\mathbf{\text{k}}.$

计算 $\mathbf{\text{r}}(t) = 3t\mspace{2mu}\mathbf{\text{i}} + 6\mspace{2mu}\text{ln}(t)\mspace{2mu}\mathbf{\text{j}} + 5e^{-3t}\mspace{2mu}\mathbf{\text{k}}$ 的一阶、二阶与三阶导数。

63.

63.

Find $\mathbf{\text{r}}\prime(t) \cdot \mspace{2mu}\mathbf{\text{r}}\text{''}(t)\ \text{for}\ \mathbf{\text{r}}(t) = -3t^{5}\mspace{2mu}\mathbf{\text{i}} + 5t\mspace{2mu}\mathbf{\text{j}} + 2t^{2}\mspace{2mu}\mathbf{\text{k}}.$

对 $\mathbf{\text{r}}(t) = -3t^{5}\mspace{2mu}\mathbf{\text{i}} + 5t\mspace{2mu}\mathbf{\text{j}} + 2t^{2}\mspace{2mu}\mathbf{\text{k}}$ 求 $\mathbf{\text{r}}\prime(t) \cdot \mspace{2mu}\mathbf{\text{r}}\text{''}(t)$。

64\.

64\.

The acceleration function, initial velocity, and initial position of a particle are

某粒子的加速度函数、初速度与初位置分别为

$\mathbf{\text{a}}(t) = -5\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} - 5\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},\mspace{2mu}\mathbf{\text{v}}(0) = 9\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}},\ \text{and}\ \mathbf{\text{r}}(0) = 5\mspace{2mu}\mathbf{\text{i}}.$

$\mathbf{\text{a}}(t) = -5\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} - 5\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}},\mspace{2mu}\mathbf{\text{v}}(0) = 9\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\mathbf{\text{j}},\ \text{and}\ \mathbf{\text{r}}(0) = 5\mspace{2mu}\mathbf{\text{i}}.$

Find $\mathbf{\text{v}}(t)\ \text{and}\ \mathbf{\text{r}}(t).$

求 $\mathbf{\text{v}}(t)\ \text{and}\ \mathbf{\text{r}}(t)$。

65.

65.

The position vector of a particle is $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{sec}(2t)\mspace{2mu}\mathbf{\text{i}} - 4\mspace{2mu}\text{tan}(t)\mspace{2mu}\mathbf{\text{j}} + 7t^{2}\mspace{2mu}\mathbf{\text{k}}.$

某粒子的位置向量为 $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{sec}(2t)\mspace{2mu}\mathbf{\text{i}} - 4\mspace{2mu}\text{tan}(t)\mspace{2mu}\mathbf{\text{j}} + 7t^{2}\mspace{2mu}\mathbf{\text{k}}$。

1. Graph the position function and display a view of the graph that illustrates the asymptotic behavior of the function.

1. 画出位置函数的图像,并展示能够体现该函数渐近行为的视图。

2. Find the velocity as *t* approaches but is not equal to $\pi\text{/}4$ (if it exists).

2. 求当 *t* 趋近于但不同于 $\pi\text{/}4$ 时的速度(若存在)。

66\.

66\.

Find the velocity and the speed of a particle with the position function $\mathbf{\text{r}}(t) = \left( \frac{2t - 1}{2t + 1} \right)\mspace{2mu}\mathbf{\text{i}} + \text{ln}(1 - 4t^{2})\mspace{2mu}\mathbf{\text{j}}.$ The speed of a particle is the magnitude of the velocity and is represented by ${\text{‖}{r^{'}(t)}\text{‖}}.$

求具有位置函数 $\mathbf{\text{r}}(t) = \left( \frac{2t - 1}{2t + 1} \right)\mspace{2mu}\mathbf{\text{i}} + \text{ln}(1 - 4t^{2})\mspace{2mu}\mathbf{\text{j}}$ 的粒子的速度与速率。粒子的速率是其速度的大小,记为 ${\text{‖}{r^{'}(t)}\text{‖}}$。

A particle moves on a circular path of radius *b* according to the function $\mathbf{\text{r}}(t) = b\mspace{2mu}\text{cos}(\omega t)\mspace{2mu}\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mspace{2mu}\mathbf{\text{j}},$ where $\omega$ is the angular velocity, ${{d\theta}\text{/}{dt}}.$

一个粒子沿半径为 *b* 的圆周按函数 $\mathbf{\text{r}}(t) = b\mspace{2mu}\text{cos}(\omega t)\mspace{2mu}\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mspace{2mu}\mathbf{\text{j}}$ 运动,其中 $\omega$ 为角速度,即 ${{d\theta}\text{/}{dt}}$。

67.

67.

Find the velocity function and show that $\mathbf{\text{v}}(t)$ is always orthogonal to $\mathbf{\text{r}}(t).$

求速度函数,并证明 $\mathbf{\text{v}}(t)$ 恒与 $\mathbf{\text{r}}(t)$ 正交。

68\.

68\.

Show that the speed of the particle is proportional to the angular velocity.

证明该粒子的速率与角速度成正比。

69.

69.

Evaluate $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack$ given $\mathbf{\text{u}}(t) = t^{2}\mspace{2mu}\mathbf{\text{i}} - 2t\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}.$

在已知 $\mathbf{\text{u}}(t) = t^{2}\mspace{2mu}\mathbf{\text{i}} - 2t\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$ 的条件下,求 $\frac{d}{dt}\left\lbrack {\mspace{2mu}\mathbf{\text{u}}(t)\ \times \ \mathbf{u^{\prime}}(t)} \right\rbrack$。

70\.

70\.

Find the antiderivative of $\mathbf{\text{r}}'(t) = \text{cos}(2t)\mspace{2mu}\mathbf{\text{i}} - 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \frac{1}{1 + t^{2}}\mspace{2mu}\mathbf{\text{k}}$ that satisfies the initial condition $\mathbf{\text{r}}(0) = 3\mspace{2mu}\mathbf{\text{i}} - 2\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}.$

求满足条件 $\mathbf{\text{r}}(0) = 3\mspace{2mu}\mathbf{\text{i}} - 2\mspace{2mu}\mathbf{\text{j}} + \mspace{2mu}\mathbf{\text{k}}$ 的 $\mathbf{\text{r}}'(t) = \text{cos}(2t)\mspace{2mu}\mathbf{\text{i}} - 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \frac{1}{1 + t^{2}}\mspace{2mu}\mathbf{\text{k}}$ 的原函数。

71.

71.

Evaluate $\int_{0}^{3}{{\text{‖}{t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}}}\text{‖}}dt.}$

$\int_{0}^{3}{{\text{‖}{t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}}}\text{‖}}dt.}$

72\.

72\.

An object starts from rest at point $P\left( {1,2,0} \right)$ and moves with an acceleration of $\mathbf{\text{a}}(t) = \mathbf{\text{j}} + 2\mspace{2mu}\mathbf{\text{k}},$ where $\text{‖}{\mspace{2mu}\mathbf{\text{a}}(t)}\text{‖}$ is measured in feet per second per second. Find the location of the object after $t = 2$ sec.

一物体从点 $P\left( {1,2,0} \right)$ 由静止开始运动,其加速度为 $\mathbf{\text{a}}(t) = \mathbf{\text{j}} + 2\mspace{2mu}\mathbf{\text{k}}$,其中 $\text{‖}{\mspace{2mu}\mathbf{\text{a}}(t)}\text{‖}$ 的单位为英尺/秒²。求该物体在 $t = 2$ 秒时的位置。

73.

73.

Show that if the speed of a particle traveling along a curve represented by a vector-valued function is constant, then the velocity function is always perpendicular to the acceleration function.

证明:若粒子沿向量值函数所表示曲线的运动速率为常数,则其速度函数恒垂直于加速度函数。

74\.

74\.

Given $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}}$ and $\mathbf{\text{u}}(t) = 4t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} + t^{3}\mspace{2mu}\mathbf{\text{k}},$ find $\frac{d}{dt}\left( {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right).$

已知 $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + t^{2}\mspace{2mu}\mathbf{\text{k}}$ 与 $\mathbf{\text{u}}(t) = 4t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} + t^{3}\mspace{2mu}\mathbf{\text{k}}$,求 $\frac{d}{dt}\left( {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right)$。

75.

75.

Given $\mathbf{\text{r}}(t) = \left\langle {t + \text{cos}\mspace{2mu} t,t - \text{sin}\mspace{2mu} t} \right\rangle,$ find the velocity and the speed at any time.

已知 $\mathbf{\text{r}}(t) = \left\langle {t + \text{cos}\mspace{2mu} t,t - \text{sin}\mspace{2mu} t} \right\rangle$,求任意时刻的速度与速率。

76\.

76\.

Find the velocity vector for the function $\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t},0} \right\rangle.$

求函数 $\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t},0} \right\rangle$ 的速度向量。

77.

77.

Find an equation of the tangent line to the curve $\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t},0} \right\rangle$ at $t = 0.$

求曲线 $\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t},0} \right\rangle$ 在 $t = 0$ 处的切线方程。

78\.

78\.

Describe and sketch the curve represented by the vector-valued function $\mathbf{\text{r}}(t) = \left\langle {6t,6t - t^{2}} \right\rangle.$

描述并描绘由向量值函数 $\mathbf{\text{r}}(t) = \left\langle {6t,6t - t^{2}} \right\rangle$ 表示的曲线。

79.

79.

Locate the highest point on the curve $\mathbf{\text{r}}(t) = \left\langle {6t,6t - t^{2}} \right\rangle$ and give the value of the function at this point.

找出曲线 $\mathbf{\text{r}}(t) = \left\langle {6t,6t - t^{2}} \right\rangle$ 上的最高点,并给出该点处函数的值。

The position vector for a particle is $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} + t^{3}\mspace{2mu}\mathbf{\text{k}}.$ The graph is shown here:

某粒子的位置向量为 $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mspace{2mu}\mathbf{\text{j}} + t^{3}\mspace{2mu}\mathbf{\text{k}}$。下图所示:

80\.

80\.

Find the velocity vector at any time.

求任意时刻的速度向量。

81.

81.

Find the speed of the particle at time $t = 2$ sec.

求粒子在 $t = 2$ 秒时的速率。

82\.

82\.

Find the acceleration at time $t = 2$ sec.

求 $t = 2$ 秒时的加速度。

A particle travels along the path of a helix with the equation $\mathbf{\text{r}}(t) = \text{cos}(t)\mspace{2mu}\mathbf{\text{i}} + \text{sin}(t)\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}.$ See the graph presented here:

一个粒子沿螺旋线的路径运动,其方程为 $\mathbf{\text{r}}(t) = \text{cos}(t)\mspace{2mu}\mathbf{\text{i}} + \text{sin}(t)\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}$。见下图:

Find the following:

求下列各量:

83.

83.

Velocity of the particle at any time

粒子在任意时刻的速度

84\.

84\.

Speed of the particle at any time

粒子在任意时刻的速率

85.

85.

Acceleration of the particle at any time

粒子在任意时刻的加速度

86\.

86\.

Find the unit tangent vector for the helix.

求螺旋线的单位切向量。

A particle travels along the path of an ellipse with the equation $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 0\mspace{2mu}\mathbf{\text{k}}.$ Find the following:

一个粒子沿椭圆的路径运动,其方程为 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 0\mspace{2mu}\mathbf{\text{k}}$。求下列各量:

87.

87.

Velocity of the particle

粒子的速度

88\.

88\.

Speed of the particle at $t = \frac{\pi}{4}$

粒子在 $t = \frac{\pi}{4}$ 时的速率

89.

89.

Acceleration of the particle at $t = \frac{\pi}{4}$

粒子在 $t = \frac{\pi}{4}$ 时的加速度

Given the vector-valued function $\mathbf{\text{r}}(t) = \left\langle {\text{tan}\mspace{2mu} t,\text{sec}\mspace{2mu} t,0} \right\rangle$ (graph is shown here), find the following:

已知向量值函数 $\mathbf{\text{r}}(t) = \left\langle {\text{tan}\mspace{2mu} t,\text{sec}\mspace{2mu} t,0} \right\rangle$(下图所示),求下列各量:

90\.

90\.

Velocity

速度

91.

91.

Speed

速率

92\.

92\.

Acceleration

加速度

93.

93.

Find the minimum speed of a particle traveling along the curve $\mathbf{\text{r}}(t) = \left\langle {t + \text{cos}\mspace{2mu} t,t - \text{sin}\mspace{2mu} t} \right\rangle$ $t \in \lbrack 0,2\pi).$

求沿曲线 $\mathbf{\text{r}}(t) = \left\langle {t + \text{cos}\mspace{2mu} t,t - \text{sin}\mspace{2mu} t} \right\rangle$ 运动的粒子的最小速率,$t \in \lbrack 0,2\pi)$。

Given $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$ and $\mathbf{\text{u}}(t) = \frac{1}{t}\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}},$ find the following:

已知 $\mathbf{\text{r}}(t) = t\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$ 与 $\mathbf{\text{u}}(t) = \frac{1}{t}\mspace{2mu}\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$,求下列各量:

94\.

94\.

$\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)$

$\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)$

95.

95.

$\frac{d}{dt}\left( {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right)$

$\frac{d}{dt}\left( {\mspace{2mu}\mathbf{\text{r}}(t)\ \times \ \mathbf{\text{u}}(t)} \right)$

96\.

96\.

Now, use the product rule for the derivative of the cross product of two vectors and show this result is the same as the answer for the preceding problem.

现在,利用两向量叉积导数的乘积法则,证明所得结果与上一题的答案一致。

Find the unit tangent vector T(*t*) for the following vector-valued functions.

求下列向量值函数的单位切向量 T(*t*)。

97.

97.

$\mathbf{\text{r}}(t) = \left\langle {t,\frac{1}{t}} \right\rangle.$ The graph is shown here:

$\mathbf{\text{r}}(t) = \left\langle {t,\frac{1}{t}} \right\rangle$。下图所示:

98\.

98\.

$\mathbf{\text{r}}(t) = \left\langle {t\mspace{2mu}\text{cos}\mspace{2mu} t,t\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {t\mspace{2mu}\text{cos}\mspace{2mu} t,t\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle$

99.

99.

$\mathbf{\text{r}}(t) = \left\langle {t + 1,2t + 1,2t + 2} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {t + 1,2t + 1,2t + 2} \right\rangle$

Evaluate the following integrals:

计算下列积分:

100\.

100\.

$\int{\left( {e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \frac{1}{2t - 1}\mspace{2mu}\mathbf{\text{k}}} \right)dt}$

$\int{\left( {e^{t}\mspace{2mu}\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + \frac{1}{2t - 1}\mspace{2mu}\mathbf{\text{k}}} \right)dt}$

101.

101.

${\int_{0}^{1}{\mspace{2mu}\mathbf{\text{r}}(t)dt}},$ where $\mathbf{\text{r}}(t) = \left\langle {\sqrt[3]{t},\frac{1}{t + 1},e^{\text{−}t}} \right\rangle$

${\int_{0}^{1}{\mspace{2mu}\mathbf{\text{r}}(t)dt}},$ 其中 $\mathbf{\text{r}}(t) = \left\langle {\sqrt[3]{t},\frac{1}{t + 1},e^{\text{−}t}} \right\rangle$

---

——

3.3 Arc Length and Curvature 3.3 弧长与曲率

In this section, we study formulas related to curves in both two and three dimensions, and see how they are related to various properties of the same curve. For example, suppose a vector-valued function describes the motion of a particle in space. We would like to determine how far the particle has traveled over a given time interval, which can be described by the arc length of the path it follows. Or, suppose that the vector-valued function describes a road we are building and we want to determine how sharply the road curves at a given point. This is described by the curvature of the function at that point. We explore each of these concepts in this section.

本节中,我们研究与平面及空间曲线有关的公式,并考察它们与同一曲线的各种性质之间的联系。例如,设一个向量值函数描述空间中粒子的运动。我们往往希望确定粒子在给定时间段内走过的路程,这可由其所经路径的弧长来描述。又如,设该向量值函数描述我们正在修建的一条道路,我们想确定道路在给定点处的弯曲程度。这由函数在该点处的曲率来描述。本节将逐一探讨这些概念。

Arc Length for Vector Functions 向量值函数的弧长

We have seen how a vector-valued function describes a curve in either two or three dimensions. Recall Arc Length of a Parametric Curve, which states that the formula for the arc length of a curve defined by the parametric functions $x = x(t),y = y(t),t_{1} \leq t \leq t_{2}$ is given by

我们已经看到向量值函数如何在二维或三维中描述一条曲线。回顾「参数曲线的弧长」,其中指出:由参数函数 $x = x(t),y = y(t),t_{1} \leq t \leq t_{2}$ 定义的曲线,其弧长公式为

$$s = {\int_{t_{1}}^{t_{2}}{\sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2}}dt.}}$$

$$s = {\int_{t_{1}}^{t_{2}}{\sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2}}dt.}}$$

In a similar fashion, if we define a smooth curve using a vector-valued function $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}},$ where $a \leq t \leq b,$ the arc length is given by the formula

类似地,若用向量值函数 $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}},$ 其中 $a \leq t \leq b,$ 来定义一条光滑曲线,则其弧长由下式给出

$$s = {\int_{a}^{b}\sqrt{\left( {f^{\prime}(t)} \right)^{2} + \left( {g^{\prime}(t)} \right)^{2}}}dt.$$

$$s = {\int_{a}^{b}\sqrt{\left( {f^{\prime}(t)} \right)^{2} + \left( {g^{\prime}(t)} \right)^{2}}}dt.$$

In three dimensions, if the vector-valued function is described by $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ over the same interval $a \leq t \leq b,$ the arc length is given by

在三维中,若向量值函数在区间 $a \leq t \leq b$ 上由 $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 描述,则其弧长为

$$s = {\int_{a}^{b}\sqrt{\left( {f^{\prime}(t)} \right)^{2} + \left( {g^{\prime}(t)} \right)^{2} + \left( {h^{\prime}(t)} \right)^{2}}}dt.$$

$$s = {\int_{a}^{b}\sqrt{\left( {f^{\prime}(t)} \right)^{2} + \left( {g^{\prime}(t)} \right)^{2} + \left( {h^{\prime}(t)} \right)^{2}}}dt.$$

Arc-Length Formulas 弧长公式

1. *Plane curve*: Given a smooth curve *C* defined by the function $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}},$ where *t* lies within the interval $\left\lbrack {a,b} \right\rbrack,$ the arc length of *C* over the interval is

1. 平面曲线:给定由函数 $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}},$ 定义的光滑曲线 *C*,其中 *t* 在区间 $\left\lbrack {a,b} \right\rbrack$ 内,则 *C* 在该区间上的弧长为

$$s = {\int_{a}^{b}\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2}}}dt = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt.$$ (3.11)

$$s = {\int_{a}^{b}\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2}}}dt = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt.$$ (3.11)

2. *Space curve*: Given a smooth curve *C* defined by the function $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}} + h(t)\ \mathbf{\text{k}},$ where *t* lies within the interval $\left\lbrack {a,b} \right\rbrack,$ the arc length of *C* over the interval is

2. 空间曲线:给定由函数 $\mathbf{\text{r}}(t) = f(t)\ \mathbf{\text{i}} + g(t)\ \mathbf{\text{j}} + h(t)\ \mathbf{\text{k}},$ 定义的光滑曲线 *C*,其中 *t* 在区间 $\left\lbrack {a,b} \right\rbrack$ 内,则 *C* 在该区间上的弧长为

$$s = {\int_{a}^{b}{\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {h^{\prime}(t)} \right\rbrack^{2}}dt}} = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt.$$ (3.12)

$$s = {\int_{a}^{b}{\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {h^{\prime}(t)} \right\rbrack^{2}}dt}} = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt.$$ (3.12)

The two formulas are very similar; they differ only in the fact that a space curve has three component functions instead of two. Note that the formulas are defined for smooth curves: curves where the vector-valued function $\mathbf{\text{r}}(t)$ is continuously differentiable with a non-zero derivative. The smoothness condition guarantees that the curve has no cusps (or corners) that could make the formula problematic.

这两个公式非常相似;唯一差别在于空间曲线有三个分量函数而非两个。注意,这些公式是对光滑曲线定义的:即向量值函数 $\mathbf{\text{r}}(t)$ 连续可微且导数非零的曲线。光滑性条件保证了曲线没有会使公式失效的尖点(或拐角)。

Finding the Arc Length 计算弧长

Calculate the arc length for each of the following vector-valued functions:

计算下列各个向量值函数的弧长:

1. $\mathbf{\text{r}}(t) = \left( {3t - 2} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 5} \right)\mspace{2mu}\mathbf{\text{j}},1 \leq t \leq 5$

1. $\mathbf{\text{r}}(t) = \left( {3t - 2} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {4t + 5} \right)\mspace{2mu}\mathbf{\text{j}},1 \leq t \leq 5$

2. $\mathbf{\text{r}}(t) = \left\langle {t\mspace{2mu}\text{cos}\mspace{2mu} t,t\mspace{2mu}\text{sin}\mspace{2mu} t,2t} \right\rangle,0 \leq t \leq 2\pi$

2. $\mathbf{\text{r}}(t) = \left\langle {t\mspace{2mu}\text{cos}\mspace{2mu} t,t\mspace{2mu}\text{sin}\mspace{2mu} t,2t} \right\rangle,0 \leq t \leq 2\pi$

Solution

1. Using Equation 3.11, $\mathbf{r^{\prime}}(t) = 3\mathbf{\text{i}} + 4\mathbf{\text{j}},$ so

1. 利用公式 (3.11),有 $\mathbf{r^{\prime}}(t) = 3\mathbf{\text{i}} + 4\mathbf{\text{j}},$ 故

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{a}^{5}\sqrt{3^{2} + 4^{2}}}dt} \\ & {= {\int_{1}^{5}{5\ dt}} = \left. {5t} \right|_{1}^{5} = 20.} \end{array}$$

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{a}^{5}\sqrt{3^{2} + 4^{2}}}dt} \\ & {= {\int_{1}^{5}{5\ dt}} = \left. {5t} \right|_{1}^{5} = 20.} \end{array}$$

2. Using Equation 3.12, $\mathbf{r^{\prime}}(t) = \left\langle {\text{cos}\mspace{2mu} t - t\mspace{2mu}\text{sin}\mspace{2mu} t,\text{sin}\mspace{2mu} t + t\mspace{2mu}\text{cos}\mspace{2mu} t,2} \right\rangle,$ so

2. 利用公式 (3.12),有 $\mathbf{r^{\prime}}(t) = \left\langle {\text{cos}\mspace{2mu} t - t\mspace{2mu}\text{sin}\mspace{2mu} t,\text{sin}\mspace{2mu} t + t\mspace{2mu}\text{cos}\mspace{2mu} t,2} \right\rangle,$ 故

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{0}^{2\pi}\sqrt{\left( {\text{cos}\mspace{2mu} t - t\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {\text{sin}\mspace{2mu} t + t\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 2^{2}}}dt} \\ & {= {\int_{0}^{2\pi}{\sqrt{\left( {\text{cos}^{2}t - 2t\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t + t^{2}\text{sin}^{2}t} \right) + \left( {\text{sin}^{2}t + 2t\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t + t^{2}\text{cos}^{2}t} \right) + 4}\ dt}}} \\ & {= {\int_{0}^{2\pi}{\sqrt{\text{cos}^{2}t + \text{sin}^{2}t + t^{2}\left( {\text{cos}^{2}t + \text{sin}^{2}t} \right) + 4}\ dt}}} \\ & {= {\int_{0}^{2\pi}{\sqrt{t^{2} + 5}\ dt}}.} \end{array}$$

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{0}^{2\pi}\sqrt{\left( {\text{cos}\mspace{2mu} t - t\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {\text{sin}\mspace{2mu} t + t\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 2^{2}}}dt} \\ & {= {\int_{0}^{2\pi}{\sqrt{\left( {\text{cos}^{2}t - 2t\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t + t^{2}\text{sin}^{2}t} \right) + \left( {\text{sin}^{2}t + 2t\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t + t^{2}\text{cos}^{2}t} \right) + 4}\ dt}}} \\ & {= {\int_{0}^{2\pi}{\sqrt{\text{cos}^{2}t + \text{sin}^{2}t + t^{2}\left( {\text{cos}^{2}t + \text{sin}^{2}t} \right) + 4}\ dt}}} \\ & {= {\int_{0}^{2\pi}{\sqrt{t^{2} + 5}\ dt}}.} \end{array}$$

Here we can use a table integration formula

这里我们可以使用积分表中的公式

$${\int{\sqrt{u^{2} + a^{2}}\ du}} = \frac{u}{2}\sqrt{u^{2} + a^{2}} + \frac{a^{2}}{2}\text{ln}\mspace{2mu}\left| {u + \sqrt{u^{2} + a^{2}}} \right| + C,$$

$${\int{\sqrt{u^{2} + a^{2}}\ du}} = \frac{u}{2}\sqrt{u^{2} + a^{2}} + \frac{a^{2}}{2}\text{ln}\mspace{2mu}\left| {u + \sqrt{u^{2} + a^{2}}} \right| + C,$$

so we obtain

于是得到

$$\begin{array}{cl} {\int_{0}^{2\pi}{\sqrt{t^{2} + 5}\ dt}} & {= \frac{1}{2}\left( {t\sqrt{t^{2} + 5} + 5\mspace{2mu}\text{ln}\mspace{2mu}\left| {t + \sqrt{t^{2} + 5}} \right|} \right)_{0}^{2\pi}} \\ & {= \frac{1}{2}\left( {2\pi\sqrt{4\pi^{2} + 5} + 5\mspace{2mu}\text{ln}\mspace{2mu}\left( {2\pi + \sqrt{4\pi^{2} + 5}} \right)} \right) - \frac{5}{2}\mspace{2mu}\text{ln}\mspace{2mu}\sqrt{5}} \\ & {\approx 25.343.} \end{array}$$

$$\begin{array}{cl} {\int_{0}^{2\pi}{\sqrt{t^{2} + 5}\ dt}} & {= \frac{1}{2}\left( {t\sqrt{t^{2} + 5} + 5\mspace{2mu}\text{ln}\mspace{2mu}\left| {t + \sqrt{t^{2} + 5}} \right|} \right)_{0}^{2\pi}} \\ & {= \frac{1}{2}\left( {2\pi\sqrt{4\pi^{2} + 5} + 5\mspace{2mu}\text{ln}\mspace{2mu}\left( {2\pi + \sqrt{4\pi^{2} + 5}} \right)} \right) - \frac{5}{2}\mspace{2mu}\text{ln}\mspace{2mu}\sqrt{5}} \\ & {\approx 25.343.} \end{array}$$

Calculate the arc length of the parameterized curve

计算下列参数化曲线的弧长

$$\mathbf{\text{r}}(t) = \left\langle {2t^{2} + 1,2t^{2} - 1,t^{3}} \right\rangle,0 \leq t \leq 3.$$

$$\mathbf{\text{r}}(t) = \left\langle {2t^{2} + 1,2t^{2} - 1,t^{3}} \right\rangle,0 \leq t \leq 3.$$

We now return to the helix introduced earlier in this chapter. A vector-valued function that describes a helix can be written in the form

现在回到本章前面引入的螺旋线。描述螺旋线的向量值函数可以写成如下形式

$$\mathbf{\text{r}}(t) = R\mspace{2mu}\text{cos}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{i}} + R\mspace{2mu}\text{sin}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{j}} + t\ \mathbf{\text{k}},\ 0 \leq t \leq h,$$

$$\mathbf{\text{r}}(t) = R\mspace{2mu}\text{cos}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{i}} + R\mspace{2mu}\text{sin}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{j}} + t\ \mathbf{\text{k}},\ 0 \leq t \leq h,$$

where *R* represents the radius of the helix, *h* represents the height (distance between two consecutive turns), and the helix completes *N* turns. Let’s derive a formula for the arc length of this helix using Equation 3.12. First of all,

其中 *R* 表示螺旋线的半径,*h* 表示高度(相邻两圈之间的距离),螺旋线共转 *N* 圈。下面用公式 (3.12) 推导该螺旋线的弧长公式。首先,

$$\mathbf{r^{\prime}}(t) = - \frac{2\pi NR}{h}\text{sin}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{i}} + \frac{2\pi NR}{h}\text{cos}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{k}}.$$

$$\mathbf{r^{\prime}}(t) = - \frac{2\pi NR}{h}\text{sin}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{i}} + \frac{2\pi NR}{h}\text{cos}\left( \frac{2\pi Nt}{h} \right)\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{k}}.$$

Therefore,

因此,

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{0}^{h}{\sqrt{\left( {- \frac{2\pi NR}{h}\text{sin}\left( \frac{2\pi Nt}{h} \right)} \right)^{2} + \left( {\frac{2\pi NR}{h}\text{cos}\left( \frac{2\pi Nt}{h} \right)} \right)^{2} + 1^{2}}dt}}} \\ & {= {\int_{0}^{h}\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}}\left( {\text{sin}^{2}\left( \frac{2\pi Nt}{h} \right) + \text{cos}^{2}\left( \frac{2\pi Nt}{h} \right)} \right) + 1}}dt} \\ & {= {\int_{0}^{h}\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}} + 1}}dt} \\ & {= \left\lbrack {t\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}} + 1}} \right\rbrack_{0}^{h}} \\ & {= h\sqrt{\frac{4\pi^{2}N^{2}R^{2} + h^{2}}{h^{2}}}} \\ & {= \sqrt{4\pi^{2}N^{2}R^{2} + h^{2}}.} \end{array}$$

$$\begin{array}{cl} s & {= {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ dt} \\ & {= {\int_{0}^{h}{\sqrt{\left( {- \frac{2\pi NR}{h}\text{sin}\left( \frac{2\pi Nt}{h} \right)} \right)^{2} + \left( {\frac{2\pi NR}{h}\text{cos}\left( \frac{2\pi Nt}{h} \right)} \right)^{2} + 1^{2}}dt}}} \\ & {= {\int_{0}^{h}\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}}\left( {\text{sin}^{2}\left( \frac{2\pi Nt}{h} \right) + \text{cos}^{2}\left( \frac{2\pi Nt}{h} \right)} \right) + 1}}dt} \\ & {= {\int_{0}^{h}\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}} + 1}}dt} \\ & {= \left\lbrack {t\sqrt{\frac{4\pi^{2}N^{2}R^{2}}{h^{2}} + 1}} \right\rbrack_{0}^{h}} \\ & {= h\sqrt{\frac{4\pi^{2}N^{2}R^{2} + h^{2}}{h^{2}}}} \\ & {= \sqrt{4\pi^{2}N^{2}R^{2} + h^{2}}.} \end{array}$$

This gives a formula for the length of a wire needed to form a helix with *N* turns that has radius *R* and height *h.*

这表明,要绕成具有 *N* 圈、半径为 *R*、高度为 *h* 的螺旋线,所需金属丝的长度由上式给出。

Arc-Length Parameterization 弧长参数化

We now have a formula for the arc length of a curve defined by a vector-valued function. Let’s take this one step further and examine what an arc-length function is.

现在我们已经有了由向量值函数定义的曲线的弧长公式。再进一步,考察什么是弧长函数。

If a vector-valued function represents the position of a particle in space as a function of time, then the arc-length function measures how far that particle travels as a function of time. The formula for the arc-length function follows directly from the formula for arc length:

若向量值函数表示空间中一个质点随时间的运动位置,则弧长函数度量该质点随时间走过的路程。弧长函数的公式直接由弧长公式得出:

$$s(t) = {\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du.$$ (3.13)

$$s(t) = {\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du.$$ (3.13)

If the curve is in two dimensions, then only two terms appear under the square root inside the integral. The reason for using the independent variable *u* is to distinguish between time and the variable of integration. Since $s(t)$ measures distance traveled as a function of time, $s^{\prime}(t)$ measures the speed of the particle at any given time. Since we have a formula for $s(t)$ in Equation 3.13, we can differentiate both sides of the equation:

若曲线在二维中,则积分号根号下只有两项。使用独立变量 *u* 是为了区分时间与积分变量。由于 $s(t)$ 度量随时间的路程,$s^{\prime}(t)$ 就度量质点在任意时刻的速率。既然在公式 (3.13) 中已有 $s(t)$ 的表达式,便可对等式两边求导:

$$\begin{array}{cl} {s^{\prime}(t)} & {= \frac{d}{dt}\left\lbrack {{\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}} \right\rbrack} \\ & {= \left\| {\mathbf{r^{\prime}}(t)} \right\|.} \end{array}$$

$$\begin{array}{cl} {s^{\prime}(t)} & {= \frac{d}{dt}\left\lbrack {{\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du} \right\rbrack} \\ & {= \frac{d}{dt}\left\lbrack {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}} \right\rbrack} \\ & {= \left\| {\mathbf{r^{\prime}}(t)} \right\|.} \end{array}$$

If we assume that $\mathbf{\text{r}}(t)$ defines a smooth curve, then the arc length is always increasing, so $s^{\prime}(t) > 0$ for $t > a.$ Last, if $\mathbf{\text{r}}(t)$ is a curve on which $\left\| {\mathbf{r^{\prime}}(t)} \right\| = 1$ for all *t*, then

若假定 $\mathbf{\text{r}}(t)$ 定义的是光滑曲线,则弧长总是递增的,故当 $t > a$ 时 $s^{\prime}(t) > 0$。最后,若 $\mathbf{\text{r}}(t)$ 是一条对所有 *t* 都满足 $\left\| {\mathbf{r^{\prime}}(t)} \right\| = 1$ 的曲线,则

$$s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}} = {\int_{a}^{t}{1\ du}} = t - a,$$

$$s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}} = {\int_{a}^{t}{1\ du}} = t - a,$$

which means that *t* represents the arc length as long as $a = 0.$

这意味着只要 $a = 0$,*t* 就表示弧长。

Arc-Length Function 弧长函数

Let $\mathbf{\text{r}}(t)$ describe a smooth curve for $t \geq a.$ Then the arc-length function is given by

设 $\mathbf{\text{r}}(t)$ 在 $t \geq a$ 上描述一条光滑曲线。则弧长函数由下式给出

$$s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}.$$ (3.14)

$$s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}.$$ (3.14)

Furthermore, $\frac{ds}{dt} = \left\| {\mathbf{r^{\prime}}(t)} \right\| > 0.$ If $\left\| {\mathbf{r^{\prime}}(t)} \right\| = 1$ for all $t \geq a,$ then the parameter *t* represents the arc length from the starting point at $t = a.$

此外,$\frac{ds}{dt} = \left\| {\mathbf{r^{\prime}}(t)} \right\| > 0.$ 若对所有 $t \geq a$ 都有 $\left\| {\mathbf{r^{\prime}}(t)} \right\| = 1,$ 则参数 *t* 表示从起点 $t = a$ 算起的弧长。

A useful application of this theorem is to find an alternative parameterization of a given curve, called an arc-length parameterization. Recall that any vector-valued function can be reparameterized via a change of variables. For example, if we have a function $\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle,0 \leq t \leq 2\pi$ that parameterizes a circle of radius 3, we can change the parameter from *t* to $4t,$ obtaining a new parameterization $\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} 4t,3\mspace{2mu}\text{sin}\mspace{2mu} 4t} \right\rangle.$ The new parameterization still defines a circle of radius 3, but now we need only use the values $0 \leq t \leq {\pi\text{/}2}$ to traverse the circle once.

这一定理的一个有用应用是求给定曲线的另一种参数化,称为弧长参数化。回顾任何向量值函数都可通过换元重新参数化。例如,若函数 $\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle,0 \leq t \leq 2\pi$ 参数化了一个半径为 3 的圆,可把参数由 *t* 改为 $4t,$ 得到新的参数化 $\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} 4t,3\mspace{2mu}\text{sin}\mspace{2mu} 4t} \right\rangle.$ 新参数化仍定义半径为 3 的圆,但现在只需取 $0 \leq t \leq {\pi\text{/}2}$ 即可绕圆一周。

Suppose that we find the arc-length function $s(t)$ and are able to solve this function for *t* as a function of *s.* We can then reparameterize the original function $\mathbf{\text{r}}(t)$ by substituting the expression for *t* back into $\mathbf{\text{r}}(t).$ The vector-valued function is now written in terms of the parameter *s.* Since the variable *s* represents the arc length, we call this an *arc-length parameterization* of the original function $\mathbf{\text{r}}(t).$ One advantage of finding the arc-length parameterization is that the distance traveled along the curve starting from $s = 0$ is now equal to the parameter *s.* The arc-length parameterization also appears in the context of curvature (which we examine later in this section) and line integrals, which we study in the Introduction to Vector Calculus.

假设我们求出了弧长函数 $s(t)$,并能从中解出 *t* 作为 *s* 的函数。然后把 *t* 的表达式代回 $\mathbf{\text{r}}(t)$,即可对原函数 $\mathbf{\text{r}}(t)$ 重新参数化。此时向量值函数用参数 *s* 表示。由于变量 *s* 表示弧长,我们称之为原函数 $\mathbf{\text{r}}(t)$ 的*弧长参数化*。求弧长参数化的一个好处是:从 $s = 0$ 起沿曲线走过的路程现在就等于参数 *s*。弧长参数化还出现在曲率(本节后面讨论)与线积分(在向量微积分引论中研究)的场合。

Finding an Arc-Length Parameterization 求弧长参数化

Find the arc-length parameterization for each of the following curves:

求下列每条曲线的弧长参数化:

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}},t \geq 0$

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}},t \geq 0$

2. $\mathbf{\text{r}}(t) = \left\langle {t + 3,\ 2t - 4,2t} \right\rangle,t \geq 3$

2. $\mathbf{\text{r}}(t) = \left\langle {t + 3,\ 2t - 4,2t} \right\rangle,t \geq 3$

Solution

1. First we find the arc-length function using Equation 3.14:

1. 先用公式 (3.14) 求弧长函数:

$$\begin{array}{cl} {s(t)} & {= {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}} \\ & {= {\int_{0}^{t}{\left\| \left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} u,4\mspace{2mu}\text{cos}\mspace{2mu} u} \right\rangle \right\|\ du}}} \\ & {= {\int_{0}^{t}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} u} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} u} \right)^{2}}\ du}}} \\ & {= {\int_{0}^{t}{\sqrt{16\mspace{2mu}\text{sin}^{2}u + 16\mspace{2mu}\text{cos}^{2}u}\ du}}} \\ & {= {\int_{0}^{t}{4\ du}} = 4t,} \end{array}$$

$$\begin{array}{cl} {s(t)} & {= {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}} \\ & {= {\int_{0}^{t}{\left\| \left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} u,4\mspace{2mu}\text{cos}\mspace{2mu} u} \right\rangle \right\|\ du}}} \\ & {= {\int_{0}^{t}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} u} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} u} \right)^{2}}\ du}}} \\ & {= {\int_{0}^{t}{\sqrt{16\mspace{2mu}\text{sin}^{2}u + 16\mspace{2mu}\text{cos}^{2}u}\ du}}} \\ & {= {\int_{0}^{t}{4\ du}} = 4t,} \end{array}$$

which gives the relationship between the arc length *s* and the parameter *t* as $s = 4t;$ so, $t = {s\text{/}4.}$ Next we replace the variable *t* in the original function $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}}$ with the expression $s\text{/}4$ to obtain

由此得到弧长 *s* 与参数 *t* 的关系为 $s = 4t;$ 故 $t = {s\text{/}4.}$ 接着把原函数 $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}}$ 中的变量 *t* 替换为 $s\text{/}4$,得到

$$\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\left( \frac{s}{4} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\left( \frac{s}{4} \right)\mspace{2mu}\mathbf{\text{j}}\text{.}$$

$$\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\left( \frac{s}{4} \right)\mspace{2mu}\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\left( \frac{s}{4} \right)\mspace{2mu}\mathbf{\text{j}}\text{.}$$

This is the arc-length parameterization of $\mathbf{\text{r}}(t).$ Since the original restriction on *t* was given by $t \geq 0,$ the restriction on *s* becomes ${s\text{/}4} \geq 0,$ or $s \geq 0.$

这就是 $\mathbf{\text{r}}(t)$ 的弧长参数化。由于原本对 *t* 的限制为 $t \geq 0,$ 故对 *s* 的限制变为 ${s\text{/}4} \geq 0,$ 即 $s \geq 0.$

2. The arc-length function is given by Equation 3.14:

2. 弧长函数由公式 (3.14) 给出:

$$\begin{array}{cl} {s(t)} & {= {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}} \\ & {= {\int_{3}^{t}{\left\| \left\langle {1,2,2} \right\rangle \right\|\ du}}} \\ & {= {\int_{3}^{t}{\sqrt{1^{2} + 2^{2} + 2^{2}}\ du}}} \\ & {= {\int_{3}^{t}{3\ du}}} \\ & {= 3t - 9.} \end{array}$$

$$\begin{array}{cl} {s(t)} & {= {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}} \\ & {= {\int_{3}^{t}{\left\| \left\langle {1,2,2} \right\rangle \right\|\ du}}} \\ & {= {\int_{3}^{t}{\sqrt{1^{2} + 2^{2} + 2^{2}}\ du}}} \\ & {= {\int_{3}^{t}{3\ du}}} \\ & {= 3t - 9.} \end{array}$$

Therefore, the relationship between the arc length *s* and the parameter *t* is $s = 3t - 9,$ so $t = \frac{s}{3} + 3.$ Substituting this into the original function $\mathbf{\text{r}}(t) = \left\langle {t + 3,\ 2t - 4,2t} \right\rangle$ yields

因此,弧长 *s* 与参数 *t* 的关系为 $s = 3t - 9,$ 故 $t = \frac{s}{3} + 3.$ 将其代入原函数 $\mathbf{\text{r}}(t) = \left\langle {t + 3,\ 2t - 4,2t} \right\rangle$ 得到

$$\mathbf{\text{r}}(s) = \left\langle {\left( {\frac{s}{3} + 3} \right) + 3,\ 2\left( {\frac{s}{3} + 3} \right) - 4,2\left( {\frac{s}{3} + 3} \right)} \right\rangle = \left\langle {\frac{s}{3} + 6,\ \frac{2s}{3} + 2,\frac{2s}{3} + 6} \right\rangle.$$

$$\mathbf{\text{r}}(s) = \left\langle {\left( {\frac{s}{3} + 3} \right) + 3,\ 2\left( {\frac{s}{3} + 3} \right) - 4,2\left( {\frac{s}{3} + 3} \right)} \right\rangle = \left\langle {\frac{s}{3} + 6,\ \frac{2s}{3} + 2,\frac{2s}{3} + 6} \right\rangle.$$

This is an arc-length parameterization of $\mathbf{\text{r}}(t).$ The original restriction on the parameter $t$ was $t \geq 3,$ so the restriction on *s* is $\left( {s\text{/}3} \right) + 3 \geq 3,$ or $s \geq 0.$

这就是 $\mathbf{\text{r}}(t)$ 的弧长参数化。原本对参数 $t$ 的限制为 $t \geq 3,$ 故对 *s* 的限制为 $\left( {s\text{/}3} \right) + 3 \geq 3,$ 即 $s \geq 0.$

Find the arc-length function for the helix

求螺旋线的弧长函数

$$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t,4t} \right\rangle,t \geq 0.$$

$$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t,4t} \right\rangle,t \geq 0.$$

Then, use the relationship between the arc length and the parameter *t* to find an arc-length parameterization of $\mathbf{\text{r}}(t).$

然后,利用弧长与参数 *t* 的关系,求 $\mathbf{\text{r}}(t)$ 的弧长参数化。

Curvature 曲率

An important topic related to arc length is curvature. The concept of curvature provides a way to measure how sharply a smooth curve turns. A circle has constant curvature. The smaller the radius of the circle, the greater the curvature.

与弧长密切相关的一个重要概念是曲率。曲率提供了一种度量光滑曲线弯曲程度的方法。圆的曲率为常数;圆的半径越小,曲率越大。

Think of driving down a road. Suppose the road lies on an arc of a large circle. In this case you would barely have to turn the wheel to stay on the road. Now suppose the radius is smaller. In this case you would need to turn more sharply to stay on the road. In the case of a curve other than a circle, it is often useful first to inscribe a circle to the curve at a given point so that it is tangent to the curve at that point and “hugs” the curve as closely as possible in a neighborhood of the point (Figure 3.6). The curvature of the graph at that point is then defined to be the same as the curvature of the inscribed circle.

想象沿一条道路行驶。假设道路位于一个大圆的弧上,此时几乎不必转动方向盘就能保持在道路上。若半径更小,则需要更急地转向才能保持在道路上。对于非圆的曲线,通常先在给定点处作一个与该曲线相切、并在该点邻域内尽可能"贴近"曲线的内切圆(图 3.6),这样很有用。该点处图形的曲率即定义为该内切圆的曲率。

Let *C* be a smooth curve in the plane or in space given by $\mathbf{\text{r}}(s),$ where $s$ is the arc-length parameter. The curvature $\kappa$ at *s* is

设 *C* 为平面或空间中由 $\mathbf{\text{r}}(s)$ 给出的光滑曲线,其中 $s$ 为弧长参数。在 *s* 处的曲率 $\kappa$ 为

$$\kappa = \left\| \frac{d\ \mathbf{\text{T}}}{ds} \right\| = \left\| {\mathbf{T^{\prime}}(s)} \right\|.$$

$$\kappa = \left\| \frac{d\ \mathbf{\text{T}}}{ds} \right\| = \left\| {\mathbf{T^{\prime}}(s)} \right\|.$$

Visit this website for more information about the curvature of a space curve.

关于空间曲线曲率的更多信息,可参阅相关网站。

The formula in the definition of curvature is not very useful in terms of calculation. In particular, recall that $\mathbf{\text{T}}(t)$ represents the unit tangent vector to a given vector-valued function $\mathbf{\text{r}}(t),$ and the formula for $\mathbf{\text{T}}(t)$ is $\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}.$ To use the formula for curvature, it is first necessary to express $\mathbf{\text{r}}(t)$ in terms of the arc-length parameter *s*, then find the unit tangent vector $\mathbf{\text{T}}(s)$ for the function $\mathbf{\text{r}}(s),$ then take the derivative of $\mathbf{\text{T}}(s)$ with respect to *s.* This is a tedious process. Fortunately, there are equivalent formulas for curvature.

曲率定义中的公式在计算上并不方便。特别地,回顾 $\mathbf{\text{T}}(t)$ 表示给定向量值函数 $\mathbf{\text{r}}(t)$ 的单位切向量,且 $\mathbf{\text{T}}(t)$ 的公式为 $\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}$。要使用曲率公式,须先将 $\mathbf{\text{r}}(t)$ 用弧长参数 *s* 表示,再求出函数 $\mathbf{\text{r}}(s)$ 的单位切向量 $\mathbf{\text{T}}(s)$,然后对 $\mathbf{\text{T}}(s)$ 关于 *s* 求导。这一过程十分繁琐。所幸,曲率另有等价公式。

Alternative Formulas for Curvature 曲率的另算公式

If *C* is a smooth curve given by $\mathbf{\text{r}}(t),$ then the curvature $\kappa$ of *C* at *t* is given by

若 *C* 是由 $\mathbf{\text{r}}(t)$ 给出的光滑曲线,则 *C* 在 *t* 处的曲率 $\kappa$ 由下式给出

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}.$$ (3.15)

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}.$$ (3.15)

If *C* is a three-dimensional curve, then the curvature can be given by the formula

若 *C* 是一条三维曲线,则曲率可由下式给出

$$\kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}.$$ (3.16)

$$\kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}.$$ (3.16)

If *C* is the graph of a function $y = f(x)$ and both $y^{\prime}$ and $y^{''}$ exist, then the curvature $\kappa$ at point $\left( {x,y} \right)$ is given by

若 *C* 是函数 $y = f(x)$ 的图像,且 $y^{\prime}$ 与 $y^{''}$ 均存在,则点 $\left( {x,y} \right)$ 处的曲率 $\kappa$ 由下式给出

$$\kappa = \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}.$$ (3.17)

$$\kappa = \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}.$$ (3.17)

Proof 证明

The first formula follows directly from the chain rule:

第一个公式直接由链式法则得到:

$$\frac{d\mathbf{\text{T}}}{dt} = \frac{d\mathbf{\text{T}}}{ds}\ \frac{ds}{dt},$$

$$\frac{d\mathbf{\text{T}}}{dt} = \frac{d\mathbf{\text{T}}}{ds}\ \frac{ds}{dt},$$

where *s* is the arc length along the curve *C.* Dividing both sides by ${ds}\text{/}{dt,}$ and taking the magnitude of both sides gives

其中 *s* 为沿曲线 *C* 的弧长。两边同除以 ${ds}\text{/}{dt}$,再取两边的模,得

$$\left\| \frac{d\mathbf{\text{T}}}{ds} \right\| = \left\| \frac{\mathbf{T^{\prime}}(t)}{\frac{ds}{dt}} \right\|.$$

$$\left\| \frac{d\mathbf{\text{T}}}{ds} \right\| = \left\| \frac{\mathbf{T^{\prime}}(t)}{\frac{ds}{dt}} \right\|.$$

Since ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|,$ this gives the formula for the curvature $\kappa$ of a curve *C* in terms of any parameterization of *C*:

由于 ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|$,由此得到用 *C* 的任意参数化表示曲线 *C* 的曲率 $\kappa$ 的公式:

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}.$$

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}.$$

In the case of a three-dimensional curve, we start with the formulas $\mathbf{\text{T}}(t) = {\left( {\mathbf{r^{\prime}}(t)} \right)\text{/}\left\| {\mathbf{r^{\prime}}(t)} \right\|}$ and ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|.$ Therefore, $\mathbf{r^{\prime}}(t) = \left( {{ds}\text{/}{dt}} \right)\mspace{2mu}\mathbf{\text{T}}(t).$ We can take the derivative of this function using the scalar product formula:

对于三维曲线,我们从公式 $\mathbf{\text{T}}(t) = {\left( {\mathbf{r^{\prime}}(t)} \right)\text{/}\left\| {\mathbf{r^{\prime}}(t)} \right\|}$ 与 ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|$ 出发。于是 $\mathbf{r^{\prime}}(t) = \left( {{ds}\text{/}{dt}} \right)\mspace{2mu}\mathbf{\text{T}}(t)$。利用标量乘法公式,可对该函数求导:

$$\mathbf{r^{''}}(t) = \frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t) + \frac{ds}{dt}\mathbf{T^{\prime}}(t).$$

$$\mathbf{r^{''}}(t) = \frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t) + \frac{ds}{dt}\mathbf{T^{\prime}}(t).$$

Using these last two equations we get

利用上面两个方程,得

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} & {= \frac{ds}{dt}\mathbf{\text{T}}(t)\ \times \ \left( {\frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t) + \frac{ds}{dt}\mathbf{T^{\prime}}(t)} \right)} \\

{\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} & {= \frac{ds}{dt}\mathbf{\text{T}}(t)\ \times \ \left( {\frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t) + \frac{ds}{dt}\mathbf{T^{\prime}}(t)} \right)} \\

& {= \frac{ds}{dt}\ \frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{T}}(t) + \left( \frac{ds}{dt} \right)^{2}\mathbf{\text{T}}(t)\ \times \ \mathbf{T^{\prime}}(t).}

& {= \frac{ds}{dt}\ \frac{d^{2}s}{dt^{2}}\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{T}}(t) + \left( \frac{ds}{dt} \right)^{2}\mathbf{\text{T}}(t)\ \times \ \mathbf{T^{\prime}}(t).}

\end{array}$$

\end{array}$$

Since $\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{T}}(t) = \mathbf{0},$ this reduces to

由于 $\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{T}}(t) = \mathbf{0}$,上式化简为

$$\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t) = \left( \frac{ds}{dt} \right)^{2}\mathbf{\text{T}}(t)\ \times \ \mathbf{T^{\prime}}(t).$$

$$\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t) = \left( \frac{ds}{dt} \right)^{2}\mathbf{\text{T}}(t)\ \times \ \mathbf{T^{\prime}}(t).$$

Because $\mathbf{T}(t)$ is a unit vector, $\left\| \mathbf{T}(t) \right\| = 1$ for all values of $t$. So, $\mathbf{T}(t) \cdot \mathbf{T}(t) =$ $\left\| \mathbf{T}(t) \right\|^{2} = 1$.

因为 $\mathbf{T}(t)$ 是单位向量,对所有 $t$ 都有 $\left\| \mathbf{T}(t) \right\| = 1$。于是 $\mathbf{T}(t) \cdot \mathbf{T}(t) =$ $\left\| \mathbf{T}(t) \right\|^{2} = 1$。

By Alternative Formulas for Curvature, we have

由曲率的另算公式,得

$$0 = \frac{d}{dt}\left( \mathbf{T}(t) \cdot \mathbf{T}(t) \right) = {\mathbf{T^{\prime}}(t) \cdot \mathbf{T}(t) + \mathbf{T}(t) \cdot \mathbf{T^{\prime}}(t)} = 2\mathbf{T^{\prime}}(t) \cdot \mathbf{T}(t).$$

$$0 = \frac{d}{dt}\left( \mathbf{T}(t) \cdot \mathbf{T}(t) \right) = {\mathbf{T^{\prime}}(t) \cdot \mathbf{T}(t) + \mathbf{T}(t) \cdot \mathbf{T^{\prime}}(t)} = 2\mathbf{T^{\prime}}(t) \cdot \mathbf{T}(t).$$

Therefore, $\mathbf{T^{\prime}} \cdot \mathbf{T} = 0$ showing that $\mathbf{T}$ and $\mathbf{T^{\prime}}$ are perpendicular. This means that

因此 $\mathbf{T^{\prime}} \cdot \mathbf{T} = 0$,表明 $\mathbf{T}$ 与 $\mathbf{T^{\prime}}$ 互相垂直。这意味着

$$\left. \left\| \mathbf{T} \times \mathbf{T^{\prime}} \right. \right\|\left. = \right\|\left. \mathbf{T} \right\|\left. .~ \right\|\left. \mathbf{T^{\prime}} \right\|\left. \text{sin}\frac{\pi}{2}\text{=} \right\|\left. \mathbf{T}^{'} \right\|\text{,~so}$$ $$\left\| \mathbf{r}^{'}(t)\ \times \ \mathbf{r}^{''}(t) \right\| = \left( \frac{ds}{dt} \right)^{2}\left\| \mathbf{T}^{'}(t) \right\|.$$

$$\left. \left\| \mathbf{T} \times \mathbf{T^{\prime}} \right. \right\|\left. = \right\|\left. \mathbf{T} \right\|\left. .~ \right\|\left. \mathbf{T^{\prime}} \right\|\left. \text{sin}\frac{\pi}{2}\text{=} \right\|\left. \mathbf{T}^{'} \right\|\text{,~so}$$ $$\left\| \mathbf{r}^{'}(t)\ \times \ \mathbf{r}^{''}(t) \right\| = \left( \frac{ds}{dt} \right)^{2}\left\| \mathbf{T}^{'}(t) \right\|.$$

Now we solve this equation for $\left\| {\mathbf{T^{\prime}}(t)} \right\|$ and use the fact that ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|\text{:}$

现在对 $\left\| {\mathbf{T^{\prime}}(t)} \right\|$ 解这个方程,并利用 ${{ds}\text{/}{dt}} = \left\| {\mathbf{r^{\prime}}(t)} \right\|$ 这一事实:

$$\left\| {\mathbf{T^{\prime}}(t)} \right\| = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{2}}.$$

$$\left\| {\mathbf{T^{\prime}}(t)} \right\| = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{2}}.$$

Then, we divide both sides by $\left\| {\mathbf{r^{\prime}}(t)} \right\|.$ This gives

然后两边同除以 $\left\| {\mathbf{r^{\prime}}(t)} \right\|$,得

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|} = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}.$$

$$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|} = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}.$$

This proves Equation 3.16. To prove Equation 3.17, we start with the assumption that curve *C* is defined by the function $y = f(x).$ Then, we can define $\mathbf{\text{r}}(t) = x\ \mathbf{\text{i}} + f(x)\ \mathbf{\text{j}} + 0\ \mathbf{\text{k}}.$ Using the previous formula for curvature:

这证明了公式 3.16。为证明公式 3.17,先假设曲线 *C* 由函数 $y = f(x)$ 定义。于是可令 $\mathbf{\text{r}}(t) = x\ \mathbf{\text{i}} + f(x)\ \mathbf{\text{j}} + 0\ \mathbf{\text{k}}$。利用前面的曲率公式:

$$\begin{aligned}

$$\begin{aligned}

{\mathbf{r^{\prime}}(t)} & {= \mathbf{\text{i}} + f^{\prime}(x)\ \mathbf{\text{j}}} \\

{\mathbf{r^{\prime}}(t)} & {= \mathbf{\text{i}} + f^{\prime}(x)\ \mathbf{\text{j}}} \\

{\mathbf{r^{''}}(t)} & {= f^{''}(x)\ \mathbf{\text{j}}} \\

{\mathbf{r^{''}}(t)} & {= f^{''}(x)\ \mathbf{\text{j}}} \\

{\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} & {= \left| \begin{matrix}

{\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} & {= \left| \begin{matrix}

\mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\

\mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\

1 & {f^{\prime}(x)} & 0 \\

1 & {f^{\prime}(x)} & 0 \\

0 & {f^{''}(x)} & 0

0 & {f^{''}(x)} & 0

\end{matrix} \right| = f^{''}(x)\ \mathbf{\text{k}}.}

\end{matrix} \right| = f^{''}(x)\ \mathbf{\text{k}}.}

\end{aligned}$$

\end{aligned}$$

Therefore,

因此,

$$\kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}} = \frac{\left| {f^{''}(x)} \right|}{\left( {1 + \left\lbrack \left. \left( f^{\prime}(x) \right)^{2} \right\rbrack \right.} \right)^{3\text{/}2}}.$$

$$\kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}} = \frac{\left| {f^{''}(x)} \right|}{\left( {1 + \left\lbrack \left. \left( f^{\prime}(x) \right)^{2} \right\rbrack \right.} \right)^{3\text{/}2}}.$$

Finding Curvature 求曲率

Find the curvature for each of the following curves at the given point:

求下列每条曲线在给定点处的曲率:

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}} + 3t\ \mathbf{\text{k}},t = \frac{4\pi}{3}$

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}} + 3t\ \mathbf{\text{k}},t = \frac{4\pi}{3}$

2. $f(x) = \sqrt{4x - x^{2}},x = 2$

2. $f(x) = \sqrt{4x - x^{2}},x = 2$

Solution

1. This function describes a helix.

1. 该函数描述一条螺旋线。

The curvature of the helix at $t = {\left( {4\pi} \right)\text{/}3}$ can be found by using Equation 3.15. First, calculate $\mathbf{\text{T}}(t)\text{:}$

利用公式 3.15 可求出该螺旋线在 $t = {\left( {4\pi} \right)\text{/}3}$ 处的曲率。先求 $\mathbf{\text{T}}(t)$:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

& {= \frac{\left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} t,4\mspace{2mu}\text{cos}\mspace{2mu} t,3} \right\rangle}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 3^{2}}}} \\

& {= \frac{\left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} t,4\mspace{2mu}\text{cos}\mspace{2mu} t,3} \right\rangle}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 3^{2}}}} \\

& {= \left\langle {- \frac{4}{5}\text{sin}\mspace{2mu} t,\frac{4}{5}\text{cos}\mspace{2mu} t,\frac{3}{5}} \right\rangle.}

& {= \left\langle {- \frac{4}{5}\text{sin}\mspace{2mu} t,\frac{4}{5}\text{cos}\mspace{2mu} t,\frac{3}{5}} \right\rangle.}

\end{array}$$

\end{array}$$

Next, calculate $\mathbf{T^{\prime}}(t)\text{:}$

接着求 $\mathbf{T^{\prime}}(t)$:

$$\mathbf{T^{\prime}}(t) = \left\langle {- \frac{4}{5}\text{cos}\mspace{2mu} t, - \frac{4}{5}\text{sin}\mspace{2mu} t,0} \right\rangle.$$

$$\mathbf{T^{\prime}}(t) = \left\langle {- \frac{4}{5}\text{cos}\mspace{2mu} t, - \frac{4}{5}\text{sin}\mspace{2mu} t,0} \right\rangle.$$

Last, apply Equation 3.15:

最后应用公式 3.15:

$$\begin{array}{cl}

$$\begin{array}{cl}

\kappa & {= \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|} = \frac{\left\| \left\langle {- \frac{4}{5}\text{cos}\mspace{2mu} t, - \frac{4}{5}\text{sin}\mspace{2mu} t,0} \right\rangle \right\|}{\left\| \left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} t,4\mspace{2mu}\text{cos}\mspace{2mu} t,3} \right\rangle \right\|}} \\

\kappa & {= \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|} = \frac{\left\| \left\langle {- \frac{4}{5}\text{cos}\mspace{2mu} t, - \frac{4}{5}\text{sin}\mspace{2mu} t,0} \right\rangle \right\|}{\left\| \left\langle {-4\mspace{2mu}\text{sin}\mspace{2mu} t,4\mspace{2mu}\text{cos}\mspace{2mu} t,3} \right\rangle \right\|}} \\

& {= \frac{\sqrt{\left( {- \frac{4}{5}\text{cos}\mspace{2mu} t} \right)^{2} + \left( {- \frac{4}{5}\text{sin}\mspace{2mu} t} \right)^{2} + 0^{2}}}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 3^{2}}}} \\

& {= \frac{\sqrt{\left( {- \frac{4}{5}\text{cos}\mspace{2mu} t} \right)^{2} + \left( {- \frac{4}{5}\text{sin}\mspace{2mu} t} \right)^{2} + 0^{2}}}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2} + 3^{2}}}} \\

& {= \frac{4\text{/}5}{5} = \frac{4}{25}.}

& {= \frac{4\text{/}5}{5} = \frac{4}{25}.}

\end{array}$$

\end{array}$$

The curvature of this helix is constant at all points on the helix.

该螺旋线在所有点处的曲率均为常数。

2. This function describes a semicircle.

2. 该函数描述一个半圆。

To find the curvature of this graph, we must use Equation 3.17. First, we calculate $y^{\prime}$ and $y^{''}\text{:}$

求该图像的曲率须用公式 3.17。先求 $y^{\prime}$ 与 $y^{''}$:

$$\begin{array}{cl}

$$\begin{array}{cl}

y & {= \sqrt{4x - x^{2}} = \left( {4x - x^{2}} \right)^{1\text{/}2}} \\

y & {= \sqrt{4x - x^{2}} = \left( {4x - x^{2}} \right)^{1\text{/}2}} \\

y^{\prime} & {= \frac{1}{2}\left( {4x - x^{2}} \right)^{- {1\text{/}2}}\left( {4 - 2x} \right) = \left( {2 - x} \right)\left( {4x - x^{2}} \right)^{- {1\text{/}2}} \\

y^{\prime} & {= \frac{1}{2}\left( {4x - x^{2}} \right)^{- {1\text{/}2}}\left( {4 - 2x} \right) = \left( {2 - x} \right)\left( {4x - x^{2}} \right)^{- {1\text{/}2}} \\

y^{''} & {= - \left( {4x - x^{2}} \right)^{- {1\text{/}2}} + \left( {2 - x} \right)\left( {- \frac{1}{2}} \right)\left( {4x - x^{2}} \right)^{- {3\text{/}2}}\left( {4 - 2x} \right)} \\

y^{''} & {= - \left( {4x - x^{2}} \right)^{- {1\text{/}2}} + \left( {2 - x} \right)\left( {- \frac{1}{2}} \right)\left( {4x - x^{2}} \right)^{- {3\text{/}2}}\left( {4 - 2x} \right)} \\

& {= - \frac{4x - x^{2}}{\left( {4x - x^{2}} \right)^{3\text{/}2}} - \frac{\left( {2 - x} \right)^{2}}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \\

& {= - \frac{4x - x^{2}}{\left( {4x - x^{2}} \right)^{3\text{/}2}} - \frac{\left( {2 - x} \right)^{2}}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \\

& {= \frac{x^{2} - 4x - \left( {4 - 4x + x^{2}} \right)}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \\

& {= \frac{x^{2} - 4x - \left( {4 - 4x + x^{2}} \right)}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \\

& {= - \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}}.}

& {= - \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}}.}

\end{array}$$

\end{array}$$

Then, we apply Equation 3.17:

然后应用公式 3.17:

$$\begin{array}{cl}

$$\begin{array}{cl}

\kappa & {= \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}} \\

\kappa & {= \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}} \\

& {= \frac{\left| {- \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}}} \right|}{\left\lbrack {1 + \left( {\left( {2 - x} \right)\left( {4x - x^{2}} \right)^{- {1\text{/}2}} \right)^{2}} \right\rbrack^{3\text{/}2}} = \frac{\left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right|}{\left\lbrack {1 + \frac{\left( {2 - x} \right)^{2}}{4x - x^{2}}} \right\rbrack^{3\text{/}2}}} \\

& {= \frac{\left| {- \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}}} \right|}{\left\lbrack {1 + \left( {\left( {2 - x} \right)\left( {4x - x^{2}} \right)^{- {1\text{/}2}} \right)^{2}} \right\rbrack^{3\text{/}2}} = \frac{\left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right|}{\left\lbrack {1 + \frac{\left( {2 - x} \right)^{2}}{4x - x^{2}}} \right\rbrack^{3\text{/}2}}} \\

& {= \frac{\left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right|}{\left\lbrack \frac{4x - x^{2} + x^{2} - 4x + 4}{4x - x^{2}} \right\rbrack^{3\text{/}2}} = \left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right| \cdot \frac{\left( {4x - x^{2}} \right)^{3\text{/}2}}{8}} \\

& {= \frac{\left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right|}{\left\lbrack \frac{4x - x^{2} + x^{2} - 4x + 4}{4x - x^{2}} \right\rbrack^{3\text{/}2}} = \left| \frac{4}{\left( {4x - x^{2}} \right)^{3\text{/}2}} \right| \cdot \frac{\left( {4x - x^{2}} \right)^{3\text{/}2}}{8}} \\

& {= \frac{1}{2}.}

& {= \frac{1}{2}.}

\end{array}$$

\end{array}$$

The curvature of this circle is equal to the reciprocal of its radius.

该圆的曲率等于其半径的倒数。

Find the curvature of the curve defined by the function

求由下列函数定义的曲线的曲率

$$y = 3x^{2} - 2x + 4$$

$$y = 3x^{2} - 2x + 4$$

at the point $x = 2.$

在点 $x = 2$ 处。

The Normal and Binormal Vectors 法向量与副法向量

We have seen that the derivative $\mathbf{r^{\prime}}(t)$ of a vector-valued function is a tangent vector to the curve defined by $\mathbf{\text{r}}(t),$ and the unit tangent vector $\mathbf{\text{T}}(t)$ can be calculated by dividing $\mathbf{r^{\prime}}(t)$ by its magnitude. When studying motion in three dimensions, two other vectors are useful in describing the motion of a particle along a path in space: the principal unit normal vector and the binormal vector.

我们已看到,向量值函数的导数 $\mathbf{r^{\prime}}(t)$ 是 $\mathbf{\text{r}}(t)$ 所定义曲线的切向量,单位切向量 $\mathbf{\text{T}}(t)$ 可由 $\mathbf{r^{\prime}}(t)$ 除以其模得到。在研究三维空间中的运动时,还有两个向量有助于描述质点沿空间路径的运动:主单位法向量与副法向量。

Let *C* be a three-dimensional smooth curve represented by r over an open interval *I.* If $\mathbf{T^{\prime}}(t) \neq \mathbf{0},$ then the principal unit normal vector at *t* is defined to be

设 *C* 为在开区间 *I* 上由 r 表示的三维光滑曲线。若 $\mathbf{T^{\prime}}(t) \neq \mathbf{0}$,则在 *t* 处的主单位法向量定义为

$$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}.$$ (3.18)

$$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}.$$ (3.18)

The binormal vector at *t* is defined as

在 *t* 处的副法向量定义为

$$\mathbf{\text{B}}(t) = \mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t),$$ (3.19)

$$\mathbf{\text{B}}(t) = \mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t),$$ (3.19)

where $\mathbf{\text{T}}(t)$ is the unit tangent vector.

其中 $\mathbf{\text{T}}(t)$ 为单位切向量。

Note that, by definition, the binormal vector is orthogonal to both the unit tangent vector and the normal vector. Furthermore, $\mathbf{\text{B}}(t)$ is always a unit vector. This can be shown using the formula for the magnitude of a cross product

注意,按定义,副法向量同时正交于单位切向量与法向量。此外,$\mathbf{\text{B}}(t)$ 恒为单位向量。这可用叉积的模长公式说明

$$\left\| {\mathbf{\text{B}}(t)} \right\| = \left\| {\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t)} \right\| = \left\| {\mathbf{\text{T}}(t)} \right\|\left\| {\mathbf{\text{N}}(t)} \right\|\text{sin}\mspace{2mu}\theta,$$

$$\left\| {\mathbf{\text{B}}(t)} \right\| = \left\| {\mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t)} \right\| = \left\| {\mathbf{\text{T}}(t)} \right\|\left\| {\mathbf{\text{N}}(t)} \right\|\text{sin}\mspace{2mu}\theta,$$

where $\theta$ is the angle between $\mathbf{\text{T}}(t)$ and $\mathbf{\text{N}}(t).$ Since $\mathbf{\text{N}}(t)$ is the derivative of a unit vector, property (vii) of the derivative of a vector-valued function tells us that $\mathbf{\text{T}}(t)$ and $\mathbf{\text{N}}(t)$ are orthogonal to each other, so $\theta = {\pi\text{/}2}.$ Furthermore, they are both unit vectors, so their magnitude is 1. Therefore, $\left\| {\mathbf{\text{T}}(t)} \right\|\left\| {\mathbf{\text{N}}(t)} \right\|\text{sin}\mspace{2mu}\theta = (1)(1)\text{sin}\left( {\pi\text{/}2} \right) = 1$ and $\mathbf{\text{B}}(t)$ is a unit vector.

其中 $\theta$ 为 $\mathbf{\text{T}}(t)$ 与 $\mathbf{\text{N}}(t)$ 之间的夹角。由于 $\mathbf{\text{N}}(t)$ 是单位向量的导数,向量值函数导数的性质 (vii) 表明 $\mathbf{\text{T}}(t)$ 与 $\mathbf{\text{N}}(t)$ 互相正交,故 $\theta = {\pi\text{/}2}$。又二者均为单位向量,故其模为 1。于是 $\left\| {\mathbf{\text{T}}(t)} \right\|\left\| {\mathbf{\text{N}}(t)} \right\|\text{sin}\mspace{2mu}\theta = (1)(1)\text{sin}\left( {\pi\text{/}2} \right) = 1$,即 $\mathbf{\text{B}}(t)$ 为单位向量。

The principal unit normal vector can be challenging to calculate because the unit tangent vector involves a quotient, and this quotient often has a square root in the denominator. In the three-dimensional case, finding the cross product of the unit tangent vector and the unit normal vector can be even more cumbersome. Fortunately, we have alternative formulas for finding these two vectors, and they are presented in Motion in Space.

主单位法向量可能较难计算,因为单位切向量涉及商,而该商的分母常含平方根。在三维情形中,求单位切向量与单位法向量的叉积更为繁琐。所幸,求这两个向量另有公式,将在「空间中的运动」中给出。

Finding the Principal Unit Normal Vector and Binormal Vector 求主单位法向量与副法向量

For each of the following vector-valued functions, find the principal unit normal vector. Then, if possible, find the binormal vector.

对下列每个向量值函数,求主单位法向量;若可能,再求副法向量。

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}}$

1. $\mathbf{\text{r}}(t) = 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{j}}$

2. $\mathbf{\text{r}}(t) = \left( {6t + 2} \right)\ \mathbf{\text{i}} + 5t^{2}\ \mathbf{\text{j}} - 8t\ \mathbf{\text{k}}$

2. $\mathbf{\text{r}}(t) = \left( {6t + 2} \right)\ \mathbf{\text{i}} + 5t^{2}\ \mathbf{\text{j}} - 8t\ \mathbf{\text{k}}$

Solution

1. This function describes a circle.

1. 该函数描述一个圆。

To find the principal unit normal vector, we first must find the unit tangent vector $\mathbf{\text{T}}(t)\text{:}$

为求主单位法向量,须先求单位切向量 $\mathbf{\text{T}}(t)$:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {-4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2}}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\left( {-4\mspace{2mu}\text{sin}\mspace{2mu} t} \right)^{2} + \left( {-4\mspace{2mu}\text{cos}\mspace{2mu} t} \right)^{2}}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{16\mspace{2mu}\text{sin}^{2}t + 16\mspace{2mu}\text{cos}^{2}t}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{16\mspace{2mu}\text{sin}^{2}t + 16\mspace{2mu}\text{cos}^{2}t}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{16\left( {\text{sin}^{2}t + \text{cos}^{2}t} \right)}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{16\left( {\text{sin}^{2}t + \text{cos}^{2}t} \right)}}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{4}} \\

& {= \frac{-4\mspace{2mu}\text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - 4\mspace{2mu}\text{cos}\mspace{2mu} t\ \mathbf{\text{j}}}{4}} \\

& {= - \text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - \text{cos}\mspace{2mu} t\ \mathbf{\text{j}}.}

& {= - \text{sin}\mspace{2mu} t\ \mathbf{\text{i}} - \text{cos}\mspace{2mu} t\ \mathbf{\text{j}}.}

\end{array}$$

\end{array}$$

Next, we use Equation 3.18:

接着应用公式 3.18:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{N}}(t)} & {= \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}} \\

{\mathbf{\text{N}}(t)} & {= \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}} \\

& {= \frac{\text{−}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\left( {\text{−}\text{cos}\mspace{2mu} t} \right)^{2} + \left( {\text{sin}\mspace{2mu} t} \right)^{2}}}} \\

& {= \frac{\text{−}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\left( {\text{−}\text{cos}\mspace{2mu} t} \right)^{2} + \left( {\text{sin}\mspace{2mu} t} \right)^{2}}}} \\

& {= \frac{\text{−}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\text{cos}^{2}t + \text{sin}^{2}t}}} \\

& {= \frac{\text{−}\text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}}{\sqrt{\text{cos}^{2}t + \text{sin}^{2}t}}} \\

& {= - \text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}.}

& {= - \text{cos}\mspace{2mu} t\ \mathbf{\text{i}} + \text{sin}\mspace{2mu} t\ \mathbf{\text{j}}.}

\end{array}$$

\end{array}$$

Notice that the unit tangent vector and the principal unit normal vector are orthogonal to each other for all values of *t*:

注意,单位切向量与主单位法向量对所有 *t* 都互相正交:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{T}}(t) \cdot \mathbf{\text{N}}(t)} & {= \left\langle {\text{−}\text{sin}\mspace{2mu} t, - \text{cos}\mspace{2mu} t} \right\rangle \cdot \left\langle {\text{−}\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t} \right\rangle} \\

{\mathbf{\text{T}}(t) \cdot \mathbf{\text{N}}(t)} & {= \left\langle {\text{−}\text{sin}\mspace{2mu} t, - \text{cos}\mspace{2mu} t} \right\rangle \cdot \left\langle {\text{−}\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t} \right\rangle} \\

& {= \text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t - \text{cos}\mspace{2mu} t\mspace{2mu}\text{sin}\mspace{2mu} t} \\

& {= \text{sin}\mspace{2mu} t\mspace{2mu}\text{cos}\mspace{2mu} t - \text{cos}\mspace{2mu} t\mspace{2mu}\text{sin}\mspace{2mu} t} \\

& {= 0.}

& {= 0.}

\end{array}$$

\end{array}$$

Furthermore, the principal unit normal vector points toward the center of the circle from every point on the circle. Since $\mathbf{\text{r}}(t)$ defines a curve in two dimensions, we cannot calculate the binormal vector.

此外,主单位法向量从圆上每一点都指向圆心。由于 $\mathbf{\text{r}}(t)$ 定义的是平面曲线,无法计算副法向量。

2. This function looks like this:

2. 该函数如下:

To find the principal unit normal vector, we first find the unit tangent vector $\mathbf{\text{T}}(t)\text{:}$

为求主单位法向量,先求单位切向量 $\mathbf{\text{T}}(t)$:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

{\mathbf{\text{T}}(t)} & {= \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\ \mathbf{\text{k}}}{\sqrt{6^{2} + \left( {10t} \right)^{2} + (-8)^{2}}}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\ \mathbf{\text{k}}}{\sqrt{6^{2} + \left( {10t} \right)^{2} + (-8)^{2}}}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\ \mathbf{\text{k}}}{\sqrt{36 + 100t^{2} + 64}}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\ \mathbf{\text{k}}}{\sqrt{36 + 100t^{2} + 64}}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\mathbf{\text{k}}}{\sqrt{100\left( {t^{2} + 1} \right)}}} \\

& {= \frac{6\ \mathbf{\text{i}} + 10t\ \mathbf{\text{j}} - 8\mathbf{\text{k}}}{\sqrt{100\left( {t^{2} + 1} \right)}}} \\

& {= \frac{3\ \mathbf{\text{i}} + 5t\ \mathbf{\text{j}} - 4\mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}} \\

& {= \frac{3\ \mathbf{\text{i}} + 5t\ \mathbf{\text{j}} - 4\mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}} \\

& {= \frac{3}{5}\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{i}} + t\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{j}} - \frac{4}{5}\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{k}}.}

& {= \frac{3}{5}\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{i}} + t\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{j}} - \frac{4}{5}\left( {t^{2} + 1} \right)^{- {1\text{/}2}}\mathbf{\text{k}}.}

\end{array}$$

\end{array}$$

Next, we calculate $\mathbf{T^{\prime}}(t)$ and $\left\| {\mathbf{T^{\prime}}(t)} \right\|\text{:}$

接着求 $\mathbf{T^{\prime}}(t)$ 与 $\left\| {\mathbf{T^{\prime}}(t)} \right\|$:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{T^{\prime}}(t)} & {= \frac{3}{5}\left( {- \frac{1}{2}} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\left( {t^{2} + 1} \right)^{- {1\text{/}2}} - t\left( \frac{1}{2} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)} \right)\mspace{2mu}\mathbf{\text{j}}} \\

{\mathbf{T^{\prime}}(t)} & {= \frac{3}{5}\left( {- \frac{1}{2}} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\left( {t^{2} + 1} \right)^{- {1\text{/}2}} - t\left( \frac{1}{2} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)} \right)\mspace{2mu}\mathbf{\text{j}}} \\

& {\mspace{54mu} - \frac{4}{5}\left( {- \frac{1}{2}} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)\mspace{2mu}\mathbf{\text{k}}} \\

& {\mspace{54mu} - \frac{4}{5}\left( {- \frac{1}{2}} \right)\left( {t^{2} + 1} \right)^{- {3\text{/}2}}\left( {2t} \right)\mspace{2mu}\mathbf{\text{k}}} \\

& {= - \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{i}} + \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{k}}} \\

& {= - \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{i}} + \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{k}}} \\

\left\| {\mathbf{T^{\prime}}(t)} \right\| & {= \sqrt{\left( {- \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}} \right)^{2} + \left( {- \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}} \right)^{2} + \left( \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}} \right)^{2}}} \\

\left\| {\mathbf{T^{\prime}}(t)} \right\| & {= \sqrt{\left( {- \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}} \right)^{2} + \left( {- \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}} \right)^{2} + \left( \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}} \right)^{2}}} \\

& {= \sqrt{\frac{9t^{2}}{25\left( {t^{2} + 1} \right)^{3}} + \frac{1}{\left( {t^{2} + 1} \right)^{3}} + \frac{16t^{2}}{25\left( {t^{2} + 1} \right)^{3}}}} \\

& {= \sqrt{\frac{9t^{2}}{25\left( {t^{2} + 1} \right)^{3}} + \frac{1}{\left( {t^{2} + 1} \right)^{3}} + \frac{16t^{2}}{25\left( {t^{2} + 1} \right)^{3}}}} \\

& {= \sqrt{\frac{25t^{2} + 25}{25\left( {t^{2} + 1} \right)^{3}}}} \\

& {= \sqrt{\frac{25t^{2} + 25}{25\left( {t^{2} + 1} \right)^{3}}}} \\

& {= \sqrt{\frac{1}{\left( {t^{2} + 1} \right)^{2}}}} \\

& {= \sqrt{\frac{1}{\left( {t^{2} + 1} \right)^{2}}}} \\

& {= \frac{1}{t^{2} + 1}.}

& {= \frac{1}{t^{2} + 1}.}

\end{array}$$

\end{array}$$

Therefore, according to Equation 3.18:

于是,根据公式 3.18:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{N}}(t)} & {= \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}} \\

{\mathbf{\text{N}}(t)} & {= \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}} \\

& {= \left( {- \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{i}} + \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{k}}} \right)\left( {t^{2} + 1} \right)} \\

& {= \left( {- \frac{3t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{i}} + \frac{1}{\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{3\text{/}2}}\mathbf{\text{k}}} \right)\left( {t^{2} + 1} \right)} \\

& {= - \frac{3t}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{i}} + \frac{5}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{k}}} \\

& {= - \frac{3t}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{i}} + \frac{5}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{j}} + \frac{4t}{5\left( {t^{2} + 1} \right)^{1\text{/}2}}\mathbf{\text{k}}} \\

& {= - \frac{3t\ \mathbf{\text{i}} - 5\mathbf{\text{j}} - 4t\ \mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}.}

& {= - \frac{3t\ \mathbf{\text{i}} - 5\mathbf{\text{j}} - 4t\ \mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}.}

\end{array}$$

\end{array}$$

Once again, the unit tangent vector and the principal unit normal vector are orthogonal to each other for all values of *t*:

再一次,单位切向量与主单位法向量对所有 *t* 都互相正交:

$$\begin{array}{cl}

$$\begin{array}{cl}

{\mathbf{\text{T}}(t) \cdot \mathbf{\text{N}}(t)} & {= \left( \frac{3\ \mathbf{\text{i}} + 5t\ \mathbf{\text{j}} - 4\mathbf{\text{k}}}{5\sqrt{t^{2} + 1}} \right) \cdot \left( {- \frac{3t\ \mathbf{\text{i}} - 5\mathbf{\text{j}} - 4t\ \mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}} \right)} \\

{\mathbf{\text{T}}(t) \cdot \mathbf{\text{N}}(t)} & {= \left( \frac{3\ \mathbf{\text{i}} + 5t\ \mathbf{\text{j}} - 4\mathbf{\text{k}}}{5\sqrt{t^{2} + 1}} \right) \cdot \left( {- \frac{3t\ \mathbf{\text{i}} - 5\mathbf{\text{j}} - 4t\ \mathbf{\text{k}}}{5\sqrt{t^{2} + 1}}} \right)} \\

& {= \frac{3\left( {-3t} \right) - 5t(-5) - 4\left( {4t} \right)}{5\sqrt{t^{2} + 1}}} \\

& {= \frac{3\left( {-3t} \right) - 5t(-5) - 4\left( {4t} \right)}{5\sqrt{t^{2} + 1}}} \\

& {= \frac{-9t + 25t - 16t}{5\sqrt{t^{2} + 1}}} \\

& {= \frac{-9t + 25t - 16t}{5\sqrt{t^{2} + 1}}} \\

& {= 0.}

& {= 0.}

\end{array}$$

\end{array}$$

Last, since $\mathbf{\text{r}}(t)$ represents a three-dimensional curve, we can calculate the binormal vector using Equation 3.17:

最后,由于 $\mathbf{\text{r}}(t)$ 表示三维曲线,可利用公式 3.17 计算副法向量:

$$\begin{matrix}

$$\begin{matrix}

{\textbf{B}(t)} & {= \textbf{T}(t)\ \times \ \textbf{N}(t)} \\

{\textbf{B}(t)} & {= \textbf{T}(t)\ \times \ \textbf{N}(t)} \\

& {= \left| \begin{matrix}

& {= \left| \begin{matrix}

\mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\

\mathbf{\text{i}} & \mathbf{\text{j}} & \mathbf{\text{k}} \\

\frac{3}{5\sqrt{t^{2} + 1}} & {+ \frac{5t}{5\sqrt{t^{2} + 1}}} & {- \frac{4}{5\sqrt{t^{2} + 1}}} \\

\frac{3}{5\sqrt{t^{2} + 1}} & {+ \frac{5t}{5\sqrt{t^{2} + 1}}} & {- \frac{4}{5\sqrt{t^{2} + 1}}} \\

{- \frac{3t}{5\sqrt{t^{2} + 1}}} & {+ \frac{5}{5\sqrt{t^{2} + 1}}} & \frac{4t}{5\sqrt{t^{2} + 1}}

{- \frac{3t}{5\sqrt{t^{2} + 1}}} & {+ \frac{5}{5\sqrt{t^{2} + 1}}} & \frac{4t}{5\sqrt{t^{2} + 1}}

\end{matrix} \right|} \\

\end{matrix} \right|} \\

& {= \left( \left( + \frac{5t}{5\sqrt{t^{2} + 1}} \right)\left( \frac{4t}{5\sqrt{t^{2} + 1}} \right) - \left( - \frac{4}{5\sqrt{t^{2} + 1}} \right)\left( + \frac{5}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{i}} \\

& {= \left( \left( + \frac{5t}{5\sqrt{t^{2} + 1}} \right)\left( \frac{4t}{5\sqrt{t^{2} + 1}} \right) - \left( - \frac{4}{5\sqrt{t^{2} + 1}} \right)\left( + \frac{5}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{i}} \\

& {\quad + \left( \left( \frac{3}{5\sqrt{t^{2} + 1}} \right)\left( \frac{4t}{5\sqrt{t^{2} + 1}} \right) - \left( - \frac{4}{5\sqrt{t^{2} + 1}} \right)\left( - \frac{3t}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{j}} \\

& {\quad + \left( \left( \frac{3}{5\sqrt{t^{2} + 1}} \right)\left( \frac{4t}{5\sqrt{t^{2} + 1}} \right) - \left( - \frac{4}{5\sqrt{t^{2} + 1}} \right)\left( - \frac{3t}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{j}} \\

& {\quad + \left( \left( \frac{3}{5\sqrt{t^{2} + 1}} \right)\left( + \frac{5}{5\sqrt{t^{2} + 1}} \right) - \left( + \frac{5t}{5\sqrt{t^{2} + 1}} \right)\left( - \frac{3t}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{k}} \\

& {\quad + \left( \left( \frac{3}{5\sqrt{t^{2} + 1}} \right)\left( + \frac{5}{5\sqrt{t^{2} + 1}} \right) - \left( + \frac{5t}{5\sqrt{t^{2} + 1}} \right)\left( - \frac{3t}{5\sqrt{t^{2} + 1}} \right) \right)\mspace{2mu}\textbf{k}} \\

& {= \left( \frac{20t^{2} + 20}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{i} + \left( \frac{-15 - 15t^{2}}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{k}} \\

& {= \left( \frac{20t^{2} + 20}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{i} + \left( \frac{-15 - 15t^{2}}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{k}} \\

& {= 20\left( \frac{t^{2} + 1}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{i+}15\left( \frac{t^{2} + 1}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{k}} \\

& {= 20\left( \frac{t^{2} + 1}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{i+}15\left( \frac{t^{2} + 1}{25\left( t^{2} + 1 \right)} \right)\mspace{2mu}\textbf{k}} \\

& {= \frac{4}{5}\textbf{i+}\frac{3}{5}\textbf{k}.}

& {= \frac{4}{5}\textbf{i+}\frac{3}{5}\textbf{k}.}

\end{matrix}$$

\end{matrix}$$

Find the unit normal vector for the vector-valued function $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\ \mathbf{\text{i}} + \left( {4t + 1} \right)\ \mathbf{\text{j}}$ and evaluate it at $t = 2.$

求向量值函数 $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\ \mathbf{\text{i}} + \left( {4t + 1} \right)\ \mathbf{\text{j}}$ 的单位法向量,并在 $t = 2$ 处求值。

For any smooth curve in three dimensions that is defined by a vector-valued function, we now have formulas for the unit tangent vector T, the unit normal vector N, and the binormal vector B. The unit normal vector and the binormal vector form a plane that is perpendicular to the curve at any point on the curve, called the normal plane. In addition, these three vectors form a frame of reference in three-dimensional space called the Frenet frame of reference (also called the TNB frame) (Figure 3.7). Last, the plane determined by the vectors T and N forms the osculating plane of *C* at any point *P* on the curve.

对于任意由向量值函数定义的三维光滑曲线,现在我们已经有了单位切向量 T、单位法向量 N 与副法向量 B 的公式。单位法向量与副法向量构成一个平面,在曲线上任意一点处垂直于曲线,称为法平面。此外,这三个向量在三维空间中构成一组参考标架,称为 Frenet 参考标架(也称 TNB 标架)(图 3.7)。最后,由向量 TN 所确定的平面构成曲线上任意点 *P* 处 *C* 的密切平面。

Suppose we form a circle in the osculating plane of *C* at point *P* on the curve. Assume that the circle has the same curvature as the curve does at point *P* and let the circle have radius *r.* Then, the curvature of the circle is given by ${1\text{/}r}.$ We call *r* the radius of curvature of the curve, and it is equal to the reciprocal of the curvature. If this circle lies on the concave side of the curve and is tangent to the curve at point *P,* then this circle is called the osculating circle of *C* at *P*, as shown in the following figure.

设在曲线上点 *P* 处 *C* 的密切平面内作一个圆。假定该圆在点 *P* 处的曲率与曲线相同,并设该圆的半径为 *r*。则该圆的曲率为 ${1\text{/}r}$。称 *r* 为曲线的曲率半径,它等于曲率的倒数。若该圆位于曲线的凹侧且在点 *P* 处与曲线相切,则称此圆为 *C* 在点 *P* 处的密切圆,如下图所示。

For more information on osculating circles, see this demonstration on curvature and torsion, this article on osculating circles, and this discussion of Serret formulas.

关于密切圆的更多信息,参见关于曲率与挠率的演示、关于密切圆的文章,以及关于 Serret 公式的讨论。

To find the equation of an osculating circle in two dimensions, we need find only the center and radius of the circle.

要求二维密切圆的方程,只需先求出该圆的圆心与半径。

Finding the Equation of an Osculating Circle 求密切圆的方程

Find an equation of the osculating circle of the curve defined by the function $y = x^{3} - 3x + 1$ at $x = 1.$

求由函数 $y = x^{3} - 3x + 1$ 定义的曲线在 $x = 1$ 处的密切圆方程。

Solution

Figure 3.9 shows the graph of $y = x^{3} - 3x + 1.$

图 3.9 显示了 $y = x^{3} - 3x + 1$ 的图像。

First, let's calculate the curvature at $x = 1\text{:}$

先求 $x = 1$ 处的曲率:

$$\kappa = \frac{\left| {f^{''}(x)} \right|}{\left( {1 + \left\lbrack {f^{\prime}(x)} \right\rbrack^{2}} \right)^{3\text{/}2}} = \frac{\left| {6x} \right|}{\left( {1 + \left\lbrack {3x^{2} - 3} \right\rbrack^{2}} \right)^{3\text{/}2}}.$$

$$\kappa = \frac{\left| {f^{''}(x)} \right|}{\left( {1 + \left\lbrack {f^{\prime}(x)} \right\rbrack^{2}} \right)^{3\text{/}2}} = \frac{\left| {6x} \right|}{\left( {1 + \left\lbrack {3x^{2} - 3} \right\rbrack^{2}} \right)^{3\text{/}2}}.$$

This gives $\kappa = 6.$ Therefore, the radius of the osculating circle is given by $R = \frac{1}{\kappa} = \frac{1}{6}.$ Next, we then calculate the coordinates of the center of the circle. When $x = 1,$ the slope of the tangent line is zero. Therefore, the center of the osculating circle is directly above the point on the graph with coordinates $\left( {1,-1} \right).$ The center is located at $\left( {1, - \frac{5}{6}} \right).$ The formula for a circle with radius *r* and center $\left( {h,k} \right)$ is given by $\left( {x - h} \right)^{2} + \left( {y - k} \right)^{2} = r^{2}.$ Therefore, the equation of the osculating circle is $\left( {x - 1} \right)^{2} + \left( {y + \frac{5}{6}} \right)^{2} = \frac{1}{36}.$ The graph and its osculating circle appears in the following graph.

由此得 $\kappa = 6$。于是密切圆的半径为 $R = \frac{1}{\kappa} = \frac{1}{6}$。接着求圆心的坐标。当 $x = 1$ 时,切线斜率为零,故密切圆的圆心位于图像上坐标为 $\left( {1,-1} \right)$ 的点的正上方,圆心在 $\left( {1, - \frac{5}{6}} \right)$。半径为 *r*、圆心为 $\left( {h,k} \right)$ 的圆的方程为 $\left( {x - h} \right)^{2} + \left( {y - k} \right)^{2} = r^{2}$。因此密切圆的方程为 $\left( {x - 1} \right)^{2} + \left( {y + \frac{5}{6}} \right)^{2} = \frac{1}{36}$。该图像及其密切圆如下图所示。

Find an equation of the osculating circle of the curve defined by the vector-valued function $y = 2x^{2} - 4x + 5$ at $x = 1.$

求由向量值函数 $y = 2x^{2} - 4x + 5$ 定义的曲线在 $x = 1$ 处的密切圆方程。

Section 3.3 Exercises 3.3 节习题

Find the arc length of the curve on the given interval.

求给定区间上曲线的弧长。

102\.

102.

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + 14t\mathbf{\text{j}},\ 0 \leq t \leq 7.$ This portion of the graph is shown here:

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + 14t\mathbf{\text{j}},\ 0 \leq t \leq 7.$ 此处显示了该曲线的一部分(配图略)。

103.

103.(求弧长)

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + (2t^{2} + 1)\mathbf{\text{j}},\ 1 \leq t \leq 3$

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + (2t^{2} + 1)\mathbf{\text{j}},\ 1 \leq t \leq 3$(求弧长)

104\.

104.

$\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle,0 \leq t \leq \pi.$ This portion of the graph is shown here:

$\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle,0 \leq t \leq \pi.$ 此处显示了该曲线的一部分(配图略)。

105.

105.(求弧长)

$\mathbf{\text{r}}(t) = \left\langle {t^{2} + 1,4t^{3} + 3} \right\rangle,\ - 1 \leq t \leq 0$

$\mathbf{\text{r}}(t) = \left\langle {t^{2} + 1,4t^{3} + 3} \right\rangle,\ - 1 \leq t \leq 0$(求弧长)

106\.

106.

$\mathbf{\text{r}}(t) = \left\langle {e^{\text{−}t}\text{cos}\mspace{2mu} t,e^{\text{−}t}\text{sin}\mspace{2mu} t} \right\rangle$ over the interval $\left\lbrack {0,\frac{\pi}{2}} \right\rbrack.$ Here is the portion of the graph on the indicated interval:

$\mathbf{\text{r}}(t) = \left\langle {e^{\text{−}t}\text{cos}\mspace{2mu} t,e^{\text{−}t}\text{sin}\mspace{2mu} t} \right\rangle$ 在区间 $\left\lbrack {0,\frac{\pi}{2}} \right\rbrack$ 上。此处显示了该区间上曲线的一部分(配图略)。

107.

107.

Find the length of one turn of the helix given by $\mathbf{\text{r}}(t) = \frac{1}{2}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + \frac{1}{2}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + \sqrt{\frac{3}{4}}\ t\ \mathbf{\text{k}}.$

求由 $\mathbf{\text{r}}(t) = \frac{1}{2}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + \frac{1}{2}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + \sqrt{\frac{3}{4}}\ t\ \mathbf{\text{k}}$ 给出的螺旋线一匝的长度。

108\.

108.

Find the arc length of the vector-valued function $\mathbf{\text{r}}(t) = - t\mathbf{\text{i}} + 4t\mathbf{\text{j}} + 3t\mathbf{\text{k}}$ over $\lbrack 0,1\rbrack.$

求向量值函数 $\mathbf{\text{r}}(t) = - t\mathbf{\text{i}} + 4t\mathbf{\text{j}} + 3t\mathbf{\text{k}}$ 在 $\lbrack 0,1\rbrack$ 上的弧长。

109.

109.

A particle travels once around a circle with the equation of motion $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + 0\mathbf{\text{k}}.$ Find the distance traveled around the circle by the particle.

一质点沿圆运动一周,其运动方程为 $\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + 0\mathbf{\text{k}}$。求该质点绕圆一周所经过的路程。

110\.

110.

Set up an integral to find the circumference of the ellipse with the equation $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + 0\mathbf{\text{k}}.$

建立积分以计算椭圆 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mathbf{\text{i}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}} + 0\mathbf{\text{k}}$ 的周长。

111.

111.

Find the length of the curve $\mathbf{\text{r}}(t) = \left\langle {\sqrt{2}t,e^{t},e^{\text{−}t}} \right\rangle$ over the interval $0 \leq t \leq 1.$ The graph is shown here:

求曲线 $\mathbf{\text{r}}(t) = \left\langle {\sqrt{2}t,e^{t},e^{\text{−}t}} \right\rangle$ 在区间 $0 \leq t \leq 1$ 上的长度。此处显示了该曲线(配图略)。

112\.

112.

Find the length of the curve $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$ for $t \in \left\lbrack {-10,10} \right\rbrack.$

求曲线 $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$ 在 $t \in \left\lbrack {-10,10} \right\rbrack$ 上的长度。

113.

113.

The position function for a particle is $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}}.$ Find the unit tangent vector and the unit normal vector at $t = 0.$

某质点的位置函数为 $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}}$。求 $t = 0$ 处的单位切向量与单位法向量。

114\.

114.

Given $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}},$ find the binormal vector $\mathbf{\text{B}}(0).$

已知 $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + b\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}}$,求副法向量 $\mathbf{\text{B}}(0)$。

115.

115.

Given $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle,$ determine the tangent vector $\mathbf{\text{T}}(t).$

已知 $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle$,求切向量 $\mathbf{\text{T}}(t)$。

116\.

116.

Given $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle,$ determine the unit tangent vector $\mathbf{\text{T}}(t)$ evaluated at $t = 0.$

已知 $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle$,求在 $t = 0$ 处取值的单位切向量 $\mathbf{\text{T}}(t)$。

117.

117.

Given $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle,$ find the unit normal vector $\mathbf{\text{N}}(t)$ evaluated at $t = 0,$ $\mathbf{\text{N}}(0).$

已知 $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle$,求在 $t = 0$ 处取值的单位法向量 $\mathbf{\text{N}}(t)$,即 $\mathbf{\text{N}}(0)$。

118\.

118.

Given $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle,$ find the unit binormal vector evaluated at $t = 0.$

已知 $\mathbf{\text{r}}(t) = \left\langle {2e^{t},e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t} \right\rangle$,求在 $t = 0$ 处取值的单位副法向量。

119.

119.

Given $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + t\mathbf{\text{k}},$ find the unit tangent vector $\mathbf{\text{T}}(t).$ The graph is shown here:

已知 $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + t\mathbf{\text{k}}$,求单位切向量 $\mathbf{\text{T}}(t)$。此处显示了该曲线(配图略)。

120\.

120.

Find the unit tangent vector $\mathbf{\text{T}}(t)$ and unit normal vector $\mathbf{\text{N}}(t)$ at $t = 0$ for the plane curve $\mathbf{\text{r}}(t) = \left\langle {t^{3} - 4t,5t^{2} - 2} \right\rangle.$ The graph is shown here:

求平面曲线 $\mathbf{\text{r}}(t) = \left\langle {t^{3} - 4t,5t^{2} - 2} \right\rangle$ 在 $t = 0$ 处的单位切向量 $\mathbf{\text{T}}(t)$ 与单位法向量 $\mathbf{\text{N}}(t)$。此处显示了该曲线(配图略)。

121.

121.

Find the unit tangent vector $\mathbf{\text{T}}(t)$ for $\mathbf{\text{r}}(t) = 3t\mathbf{\text{i}} + 5t^{2}\mathbf{\text{j}} + 2t\mathbf{\text{k}}$

求 $\mathbf{\text{r}}(t) = 3t\mathbf{\text{i}} + 5t^{2}\mathbf{\text{j}} + 2t\mathbf{\text{k}}$ 的单位切向量 $\mathbf{\text{T}}(t)$。

122\.

122.

Find the principal normal vector to the curve $\mathbf{\text{r}}(t) = \left\langle {6\mspace{2mu}\text{cos}\mspace{2mu} t,6\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle$ at the point determined by $t = {\pi\text{/}3}.$

求曲线 $\mathbf{\text{r}}(t) = \left\langle {6\mspace{2mu}\text{cos}\mspace{2mu} t,6\mspace{2mu}\text{sin}\mspace{2mu} t} \right\rangle$ 在由 $t = {\pi\text{/}3}$ 所确定点处的主法向量。

123.

123.

Find $\mathbf{\text{T}}(t)$ for the curve $\mathbf{\text{r}}(t) = \left( {t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t^{2} - 2} \right)\mspace{2mu}\mathbf{\text{j}}.$

求曲线 $\mathbf{\text{r}}(t) = \left( {t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t^{2} - 2} \right)\mspace{2mu}\mathbf{\text{j}}$ 的 $\mathbf{\text{T}}(t)$。

124\.

124.

Find $\mathbf{\text{N}}(t)$ for the curve $\mathbf{\text{r}}(t) = \left( {t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t^{2} - 2} \right)\mspace{2mu}\mathbf{\text{j}}.$

求曲线 $\mathbf{\text{r}}(t) = \left( {t^{3} - 4t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {5t^{2} - 2} \right)\mspace{2mu}\mathbf{\text{j}}$ 的 $\mathbf{\text{N}}(t)$。

125.

125.

Find the unit normal vector $\mathbf{\text{N}}(t)$ for $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle.$

求 $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$ 的单位法向量 $\mathbf{\text{N}}(t)$。

126\.

126.

Find the unit tangent vector $\mathbf{\text{T}}(t)$ for $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle.$

求 $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$ 的单位切向量 $\mathbf{\text{T}}(t)$。

127.

127.

Find the arc-length function $s(t)$ for the line segment given by $\mathbf{\text{r}}(t) = \left\langle {3 - 3t,4t} \right\rangle.$ Write *r* as a parameter of *s.*

求由 $\mathbf{\text{r}}(t) = \left\langle {3 - 3t,4t} \right\rangle$ 给出的线段的弧长函数 $s(t)$。将 *r* 表示为 *s* 的参数。

128\.

128.

Parameterize the helix $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mathbf{\text{j}} + t\mathbf{\text{k}}$ using the arc-length parameter *s*, from $t = 0.$

用弧长参数 *s* 对螺旋线 $\mathbf{\text{r}}(t) = \text{cos}\mspace{2mu} t\mathbf{\text{i}} + \text{sin}\mspace{2mu} t\mathbf{\text{j}} + t\mathbf{\text{k}}$ 进行参数化,起点取 $t = 0$。

129.

129.

Parameterize the curve using the arc-length parameter *s*, at the point at which $t = 0$ for $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mathbf{\text{j}}.$

对曲线 $\mathbf{\text{r}}(t) = e^{t}\text{sin}\mspace{2mu} t\mathbf{\text{i}} + e^{t}\text{cos}\mspace{2mu} t\mathbf{\text{j}}$ 使用弧长参数 *s* 进行参数化,取 $t = 0$ 处的点。

130\.

130.

Find the curvature of the curve $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}}$ at $t = {\pi\text{/}3}.$ (*Note:* The graph is an ellipse.)

求曲线 $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 4\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}}$ 在 $t = {\pi\text{/}3}$ 处的曲率。(注:该曲线图像为椭圆。)

131.

131.

Find the *x*-coordinate at which the curvature of the curve $y = {1\text{/}x}$ is a maximum value.

求曲线 $y = {1\text{/}x}$ 的曲率取得最大值时所处的 *x* 坐标。

132\.

132.

Find the curvature of the curve $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 5\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}}.$ Does the curvature depend upon the parameter *t*?

求曲线 $\mathbf{\text{r}}(t) = 5\mspace{2mu}\text{cos}\mspace{2mu} t\mathbf{\text{i}} + 5\mspace{2mu}\text{sin}\mspace{2mu} t\mathbf{\text{j}}$ 的曲率。曲率是否依赖于参数 *t*?

133.

133.

Find the curvature $\kappa$ for the curve $y = x - \frac{1}{4}x^{2}$ at the point $x = 2.$

求曲线 $y = x - \frac{1}{4}x^{2}$ 在 $x = 2$ 处的曲率 $\kappa$。

134\.

134.

Find the curvature $\kappa$ for the curve $y = \frac{1}{3}x^{3}$ at the point $x = 1.$

求曲线 $y = \frac{1}{3}x^{3}$ 在 $x = 1$ 处的曲率 $\kappa$。

135.

135.

Find the curvature $\kappa$ of the curve $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + 6t^{2}\mathbf{\text{j}} + 4t\mspace{2mu}\mathbf{\text{k}}.$ The graph is shown here:

求曲线 $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + 6t^{2}\mathbf{\text{j}} + 4t\mspace{2mu}\mathbf{\text{k}}$ 的曲率 $\kappa$。此处显示了该曲线(配图略)。

136\.

136.

Find the curvature of $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle.$

求 $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}\mspace{2mu} t,5t,2\mspace{2mu}\text{cos}\mspace{2mu} t} \right\rangle$ 的曲率。

137.

137.

Find the curvature of $\mathbf{\text{r}}(t) = \sqrt{2}t\mathbf{\text{i}} + e^{t}\mathbf{\text{j}} + e^{\text{−}t}\mathbf{\text{k}}$ at point $P\left( {0,1,1} \right).$

求 $\mathbf{\text{r}}(t) = \sqrt{2}t\mathbf{\text{i}} + e^{t}\mathbf{\text{j}} + e^{\text{−}t}\mathbf{\text{k}}$ 在点 $P\left( {0,1,1} \right)$ 处的曲率。

138\.

138.

At what point does the curve $y = e^{x}$ have maximum curvature?

曲线 $y = e^{x}$ 在何处曲率最大?

139.

139.

What happens to the curvature as $x\rightarrow\infty$ for the curve $y = e^{x}?$

当 $x\rightarrow\infty$ 时,曲线 $y = e^{x}$ 的曲率如何变化?

140\.

140.

Find the point of maximum curvature on the curve $y = \text{ln}\mspace{2mu} x.$

求曲线 $y = \text{ln}\mspace{2mu} x$ 上曲率最大的点。

141.

141.

Find the equations of the normal plane and the osculating plane of the curve $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}(3t),t,2\mspace{2mu}\text{cos}(3t)} \right\rangle$ at point $\left( {0,\pi,-2} \right).$

求曲线 $\mathbf{\text{r}}(t) = \left\langle {2\mspace{2mu}\text{sin}(3t),t,2\mspace{2mu}\text{cos}(3t)} \right\rangle$ 在点 $\left( {0,\pi,-2} \right)$ 处的法平面与密切平面的方程。

142\.

142.

Find equations of the osculating circles of the ellipse $4y^{2} + 9x^{2} = 36$ at the points $(2,0)$ and $(0,3).$

求椭圆 $4y^{2} + 9x^{2} = 36$ 在点 $(2,0)$ 与 $(0,3)$ 处的曲率圆方程。

143.

143.

Find the equation for the osculating plane at point $t = {\pi\text{/}4}$ on the curve $\mathbf{\text{r}}(t) = \text{cos}(2t)\mathbf{\text{i}} + \text{sin}(2t)\mathbf{\text{j}} + t\mathbf{\text{k}}.$

求曲线 $\mathbf{\text{r}}(t) = \text{cos}(2t)\mathbf{\text{i}} + \text{sin}(2t)\mathbf{\text{j}} + t\mathbf{\text{k}}$ 在 $t = {\pi\text{/}4}$ 处的密切平面方程。

144\.

144.

Find the radius of curvature of $6y = x^{3}$ at the point $\left( {2,\frac{4}{3}} \right).$

求 $6y = x^{3}$ 在点 $\left( {2,\frac{4}{3}} \right)$ 处的曲率半径。

145.

145.

Find the curvature at each point $\left( {x,y} \right)$ on the hyperbola $\mathbf{\text{r}}(t) = \left\langle {a\mspace{2mu}\text{cosh}(t),b\mspace{2mu}\text{sinh}(t)} \right\rangle.$

求双曲线 $\mathbf{\text{r}}(t) = \left\langle {a\mspace{2mu}\text{cosh}(t),b\mspace{2mu}\text{sinh}(t)} \right\rangle$ 上每一点 $\left( {x,y} \right)$ 处的曲率。

146\.

146.

Calculate the curvature of the circular helix $\mathbf{\text{r}}(t) = r\mspace{2mu}\text{sin}(t)\mathbf{\text{i}} + r\mspace{2mu}\text{cos}(t)\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}.$

计算圆螺旋线 $\mathbf{\text{r}}(t) = r\mspace{2mu}\text{sin}(t)\mathbf{\text{i}} + r\mspace{2mu}\text{cos}(t)\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}$ 的曲率。

147.

147.

Find the radius of curvature of $y = \text{ln}(x + 1)$ at point $\left( {2,\text{ln}\mspace{2mu} 3} \right).$

求 $y = \text{ln}(x + 1)$ 在点 $\left( {2,\text{ln}\mspace{2mu} 3} \right)$ 处的曲率半径。

148\.

148.

Find the radius of curvature of the hyperbola $xy = 1$ at point $(1,1).$

求双曲线 $xy = 1$ 在点 $(1,1)$ 处的曲率半径。

A particle moves along the plane curve C described by $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + t^{2}\mathbf{\text{j}}.$ Solve the following problems.

一质点沿平面曲线 C 运动,其方程为 $\mathbf{\text{r}}(t) = t\mathbf{\text{i}} + t^{2}\mathbf{\text{j}}$。求解下列问题。

149.

149.

Find the length of the curve over the interval $\left\lbrack {0,2} \right\rbrack.$

求曲线在区间 $\left\lbrack {0,2} \right\rbrack$ 上的长度。

150\.

150.

Find the curvature of the plane curve at $t = 0,1,2.$

求该平面曲线在 $t = 0,1,2$ 处的曲率。

151.

151.

Describe the curvature as *t* increases from $t = 0$ to $t = 2.$

描述当 *t* 从 $t = 0$ 增大到 $t = 2$ 时曲率的变化情况。

The surface of a large cup is formed by revolving the graph of the function $y = 0.25x^{1.6}$ from $x = 0$ to $x = 5$ about the *y*-axis (measured in centimeters).

一只大杯子的曲面由函数 $y = 0.25x^{1.6}$ 的图像在区间 $x = 0$ 到 $x = 5$ 上绕 *y* 轴旋转而成(单位:厘米)。

152\.

152.

\[T\] Use technology to graph the surface.

[T]使用技术手段绘制该曲面。

153.

153.

Find the curvature $\kappa$ of the generating curve as a function of *x.*

求生成曲线作为 *x* 的函数的曲率 $\kappa$。

154\.

154.

\[T\] Use technology to graph the curvature function.

[T]使用技术手段绘制曲率函数。

---

——

3.4 Motion in Space 3.4 空间中的运动

  • 3.4.1 Describe the velocity and acceleration vectors of a particle moving in space.
  • 3.4.2 Explain the tangential and normal components of acceleration.
  • 3.4.3 State Kepler’s laws of planetary motion.
  • 3.4.1 描述空间中运动质点的速度与加速度向量。
  • 3.4.2 解释加速度的切向分量与法向分量。
  • 3.4.3 陈述行星运动的开普勒定律。

We have now seen how to describe curves in the plane and in space, and how to determine their properties, such as arc length and curvature. All of this leads to the main goal of this chapter, which is the description of motion along plane curves and space curves. We now have all the tools we need; in this section, we put these ideas together and look at how to use them.

至此我们已经学会如何描述平面与空间中的曲线,以及如何确定它们的性质,如弧长与曲率。这些都指向本章的主要目标,即描述沿平面曲线与空间曲线的运动。我们现在已具备所需的全部工具;本节将这些思想综合起来,看看如何使用它们。

Motion Vectors in the Plane and in Space 平面与空间中的运动向量

Our starting point is using vector-valued functions to represent the position of an object as a function of time. All of the following material can be applied either to curves in the plane or to space curves. For example, when we look at the orbit of the planets, the curves defining these orbits all lie in a plane because they are elliptical. However, a particle traveling along a helix moves on a curve in three dimensions.

我们的出发点是用向量值函数将物体的位置表示为时间的函数。下面所有内容既适用于平面中的曲线,也适用于空间曲线。例如,观察行星轨道时,由于轨道是椭圆,定义这些轨道的曲线都位于同一个平面内。而沿着螺旋线运动的质点则在三维曲线上运动。

Let $\mathbf{\text{r}}(t)$ be a twice-differentiable vector-valued function of the parameter *t* that represents the position of an object as a function of time. The velocity vector $\mathbf{\text{v}}(t)$ of the object is given by

设 $\mathbf{\text{r}}(t)$ 为关于参数 *t* 的二阶可微向量值函数,表示物体的位置随时间的变化。该物体的速度向量 $\mathbf{\text{v}}(t)$ 由下式给出

$$\text{Velocity} = \mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t).$$ (3.20)

$$\text{Velocity} = \mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t).$$ (3.20) 即速度等于位置向量的导数。

The acceleration vector $\mathbf{\text{a}}(t)$ is defined to be

加速度向量 $\mathbf{\text{a}}(t)$ 定义为

$$\text{Acceleration} = \mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \mathbf{\text{r''}}(t).$$ (3.21)

$$\text{Acceleration} = \mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \mathbf{\text{r''}}(t).$$ (3.21) 即加速度等于速度向量的导数,也即位置向量的二阶导数。

The *speed* is defined to be

速率定义为

$$\text{Speed} = v(t) = \left\| {\mathbf{\text{v}}(t)} \right\| = \left\| {\mathbf{r^{\prime}}(t)} \right\| = \frac{ds}{dt}.$$ (3.22)

$$\text{Speed} = v(t) = \left\| {\mathbf{\text{v}}(t)} \right\| = \left\| {\mathbf{r^{\prime}}(t)} \right\| = \frac{ds}{dt}.$$ (3.22) 即速率等于速度向量的模,也等于弧长对时间的导数。

Since $\mathbf{\text{r}}(t)$ can be in either two or three dimensions, these vector-valued functions can have either two or three components. In two dimensions, we define $\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}}$ and in three dimensions $\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}} + z(t)\mspace{2mu}\mathbf{\text{k}}.$ Then the velocity, acceleration, and speed can be written as shown in the following table.

由于 $\mathbf{\text{r}}(t)$ 可以处于二维或三维,这些向量值函数可具有两个或三个分量。在二维中,我们定义 $\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}}$;在三维中, $\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}} + z(t)\mspace{2mu}\mathbf{\text{k}}$。于是速度、加速度与速率可写成下表所示的形式。
QuantityTwo DimensionsThree Dimensions
Position$\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}} + z(t)\mspace{2mu}\mathbf{\text{k}}$
Velocity$\mathbf{\text{v}}(t) = x^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + y^{\prime}(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{v}}(t) = x^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + y^{\prime}(t)\mspace{2mu}\mathbf{\text{j}} + z^{\prime}(t)\mspace{2mu}\mathbf{\text{k}}$
Acceleration$\mathbf{\text{a}}(t) = x^{''}(t)\mspace{2mu}\mathbf{\text{i}} + y^{''}(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{a}}(t) = x^{''}(t)\mspace{2mu}\mathbf{\text{i}} + y^{''}(t)\mspace{2mu}\mathbf{\text{j}} + z^{''}(t)\mspace{2mu}\mathbf{\text{k}}$
Speed$v(t) = \sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2}}$$v(t) = \sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2} + \left( {z^{\prime}(t)} \right)^{2}}$
二维三维
位置$\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{r}}(t) = x(t)\mspace{2mu}\mathbf{\text{i}} + y(t)\mspace{2mu}\mathbf{\text{j}} + z(t)\mspace{2mu}\mathbf{\text{k}}$
速度$\mathbf{\text{v}}(t) = x^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + y^{\prime}(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{v}}(t) = x^{\prime}(t)\mspace{2mu}\mathbf{\text{i}} + y^{\prime}(t)\mspace{2mu}\mathbf{\text{j}} + z^{\prime}(t)\mspace{2mu}\mathbf{\text{k}}$
加速度$\mathbf{\text{a}}(t) = x^{''}(t)\mspace{2mu}\mathbf{\text{i}} + y^{''}(t)\mspace{2mu}\mathbf{\text{j}}$$\mathbf{\text{a}}(t) = x^{''}(t)\mspace{2mu}\mathbf{\text{i}} + y^{''}(t)\mspace{2mu}\mathbf{\text{j}} + z^{''}(t)\mspace{2mu}\mathbf{\text{k}}$
速率$v(t) = \sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2}}$$v(t) = \sqrt{\left( {x^{\prime}(t)} \right)^{2} + \left( {y^{\prime}(t)} \right)^{2} + \left( {z^{\prime}(t)} \right)^{2}}$

Table 3.4 Formulas for Position, Velocity, Acceleration, and Speed

表 3.4 位置、速度、加速度与速率公式

Studying Motion Along a Parabola 研究沿抛物线运动

A particle moves in a parabolic path defined by the vector-valued function $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \sqrt{5 - t^{2}}\mathbf{\text{j}},$ where *t* measures time in seconds.

一质点沿由向量值函数 $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \sqrt{5 - t^{2}}\mathbf{\text{j}}$ 定义的抛物线路径运动,其中 *t* 以秒为单位计量时间。

1. Find the velocity, acceleration, and speed as functions of time.

1. 求速度、加速度与速率关于时间的函数表达式。

2. Sketch the curve along with the velocity vector at time $t = 1.$

2. 绘制该曲线以及 $t = 1$ 时的速度向量。

Solution

1. We use Equation 3.20, Equation 3.21, and Equation 3.22:

1. 我们使用公式 (3.20)、(3.21) 与 (3.22):

$$\begin{array}{cll} {\mathbf{\text{v}}(t)} & = & {\mathbf{r^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} - \frac{t}{\sqrt{5 - t^{2}}}\mathbf{\text{j}}} \\ {\mathbf{\text{a}}(t)} & = & {\mathbf{v^{\prime}}(t) = 2\mathbf{\text{i}} - 5\left( {5 - t^{2}} \right)^{- \frac{3}{2}}\mathbf{\text{j}}} \\ {v(t)} & = & \left\| {\mathbf{r^{\prime}}(t)} \right\| \\ & = & \sqrt{\left( {2t} \right)^{2} + \left( {- \frac{t}{\sqrt{5 - t^{2}}}} \right)^{2}} \\ & = & \sqrt{4t^{2} + \frac{t^{2}}{5 - t^{2}}} \\ & = & {\sqrt{\frac{21t^{2} - 4t^{4}}{5 - t^{2}}}.} \end{array}$$

$$\begin{array}{cll} {\mathbf{\text{v}}(t)} & = & {\mathbf{r^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} - \frac{t}{\sqrt{5 - t^{2}}}\mathbf{\text{j}}} \\ {\mathbf{\text{a}}(t)} & = & {\mathbf{v^{\prime}}(t) = 2\mathbf{\text{i}} - 5\left( {5 - t^{2}} \right)^{- \frac{3}{2}}\mathbf{\text{j}}} \\ {v(t)} & = & \left\| {\mathbf{r^{\prime}}(t)} \right\| \\ & = & \sqrt{\left( {2t} \right)^{2} + \left( {- \frac{t}{\sqrt{5 - t^{2}}}} \right)^{2}} \\ & = & \sqrt{4t^{2} + \frac{t^{2}}{5 - t^{2}}} \\ & = & {\sqrt{\frac{21t^{2} - 4t^{4}}{5 - t^{2}}}.} \end{array}$$ (由公式 (3.20)、(3.21)、(3.22) 求得上述结果。)

2. The graph of $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \sqrt{5 - t^{2}}\mathbf{\text{j}}$ is a portion of a parabola (Figure 3.11). The velocity vector at $t = 1$ is

2. $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \sqrt{5 - t^{2}}\mathbf{\text{j}}$ 的图像是一段抛物线(图 3.11)。在 $t = 1$ 时的速度向量为

$$\mathbf{\text{v}}(1) = \mathbf{r^{\prime}}(1) = 2(1)\mspace{2mu}\mathbf{\text{i}} - \frac{1}{\sqrt{5 - (1)^{2}}}\mathbf{\text{j}} = 2\mathbf{\text{i}} - \frac{1}{2}\mathbf{\text{j}}$$

$$\mathbf{\text{v}}(1) = \mathbf{r^{\prime}}(1) = 2(1)\mspace{2mu}\mathbf{\text{i}} - \frac{1}{\sqrt{5 - (1)^{2}}}\mathbf{\text{j}} = 2\mathbf{\text{i}} - \frac{1}{2}\mathbf{\text{j}}$$

and the acceleration vector at $t = 1$ is

而 $t = 1$ 时的加速度向量为

$$\mathbf{\text{a}}(1) = \mathbf{v^{\prime}}(1) = 2\mathbf{\text{i}} - 5\left( {5 - (1)^{2}} \right)^{\text{−}{3\text{/}2}}\mathbf{\text{j}} = 2\mathbf{\text{i}} - \frac{5}{8}\mathbf{\text{j}}.$$

$$\mathbf{\text{a}}(1) = \mathbf{v^{\prime}}(1) = 2\mathbf{\text{i}} - 5\left( {5 - (1)^{2}} \right)^{\text{−}{3\text{/}2}}\mathbf{\text{j}} = 2\mathbf{\text{i}} - \frac{5}{8}\mathbf{\text{j}}.$$

Notice that the velocity vector is tangent to the path, as is always the case.

注意,速度向量与路径相切,这一点始终成立。

A particle moves in a path defined by the vector-valued function $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 4} \right)\mspace{2mu}\mathbf{\text{j}} + (t + 2)\mathbf{\text{k}},$ where *t* measures time in seconds and where distance is measured in feet. Find the velocity, acceleration, and speed as functions of time.

一质点沿由向量值函数 $\mathbf{\text{r}}(t) = \left( {t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {2t - 4} \right)\mspace{2mu}\mathbf{\text{j}} + (t + 2)\mathbf{\text{k}}$ 定义的路径运动,其中 *t* 以秒为单位计量时间,距离以英尺为单位。求速度、加速度与速率关于时间的函数表达式。

To gain a better understanding of the velocity and acceleration vectors, imagine you are driving along a curvy road. If you do not turn the steering wheel, you would continue in a straight line and run off the road. The speed at which you are traveling when you run off the road, coupled with the direction, gives a vector representing your velocity, as illustrated in the following figure.

为了更好地理解速度与加速度向量,设想你正沿一条弯曲的道路驾驶。如果你不转动方向盘,就会沿直线继续前进并冲出路面。你冲出路面时的行驶速率连同方向,构成一个表示你速度的向量,如下图所示。

However, the fact that you must turn the steering wheel to stay on the road indicates that your velocity is always changing (even if your speed is not) because your *direction* is constantly changing to keep you on the road. As you turn to the right, your acceleration vector also points to the right. As you turn to the left, your acceleration vector points to the left. This indicates that your velocity and acceleration vectors are constantly changing, regardless of whether your actual speed varies (Figure 3.13).

然而,你必须转动方向盘才能留在路上这一事实说明,你的速度一直在变化(即便速率不变),因为你的*方向*在不断改变以保持你在路上。向右转时,你的加速度向量也指向右方;向左转时,加速度向量指向左方。这表明,无论实际速率是否变化,你的速度与加速度向量都在不断改变(图 3.13)。

Components of the Acceleration Vector 加速度向量的分量

We can combine some of the concepts discussed in Arc Length and Curvature with the acceleration vector to gain a deeper understanding of how this vector relates to motion in the plane and in space. Recall that the unit tangent vector T and the unit normal vector N form an osculating plane at any point *P* on the curve defined by a vector-valued function $\mathbf{\text{r}}(t).$ The following theorem shows that the acceleration vector $\mathbf{\text{a}}(t)$ lies in the osculating plane and can be written as a linear combination of the unit tangent and the unit normal vectors.

我们可以把弧长与曲率中讨论的一些概念与加速度向量结合起来,从而更深入地理解该向量如何与平面和空间中的运动相关联。回顾一下:单位切向量 T 与单位法向量 N 在由向量值函数 $\mathbf{\text{r}}(t)$ 定义的曲线上任意一点 *P* 处构成一个密切平面。下面这一定理表明,加速度向量 $\mathbf{\text{a}}(t)$ 位于该密切平面内,并且可以写成单位切向量与单位法向量的线性组合。

The Plane of the Acceleration Vector 加速度向量所在的平面

The acceleration vector $\mathbf{\text{a}}(t)$ of an object moving along a curve traced out by a twice-differentiable function $\mathbf{\text{r}}(t)$ lies in the plane formed by the unit tangent vector $\mathbf{\text{T}}(t)$ and the principal unit normal vector $\mathbf{\text{N}}(t)$ to *C.* Furthermore,

沿由二次可微函数 $\mathbf{\text{r}}(t)$ 描出的曲线运动的物体,其加速度向量 $\mathbf{\text{a}}(t)$ 位于由单位切向量 $\mathbf{\text{T}}(t)$ 与曲线 *C* 的主单位法向量 $\mathbf{\text{N}}(t)$ 所张成的平面内。此外,

$$\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + \left\lbrack {v(t)} \right\rbrack^{2}\kappa\mspace{2mu}\mathbf{\text{N}}(t).$$

$$\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + \left\lbrack {v(t)} \right\rbrack^{2}\kappa\mspace{2mu}\mathbf{\text{N}}(t).$$

Here, $v(t)$ is the speed of the object and $\kappa$ is the curvature of *C* traced out by $\mathbf{\text{r}}(t).$

这里,$v(t)$ 是物体的速率,$\kappa$ 是由 $\mathbf{\text{r}}(t)$ 描出的曲线 *C* 的曲率。

Proof 证明

Because $\mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t)$ and $\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|},$ we have $\mathbf{\text{v}}(t) = \left\| {\mathbf{r^{\prime}}(t)} \right\|\mathbf{\text{T}}(t) = v(t)\mspace{2mu}\mathbf{\text{T}}(t).$ Now we differentiate this equation:

因为 $\mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t)$,且 $\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}$,所以 $\mathbf{\text{v}}(t) = \left\| {\mathbf{r^{\prime}}(t)} \right\|\mathbf{\text{T}}(t) = v(t)\mspace{2mu}\mathbf{\text{T}}(t)$。现在对等式两边求导:

$$\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \frac{d}{dt}\left( {v(t)\mspace{2mu}\mathbf{\text{T}}(t)} \right) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + v(t)\mspace{2mu}\mathbf{T^{\prime}}(t).$$

$$\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \frac{d}{dt}\left( {v(t)\mspace{2mu}\mathbf{\text{T}}(t)} \right) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + v(t)\mspace{2mu}\mathbf{T^{\prime}}(t).$$

Since $\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|},$ we know $\mathbf{T^{\prime}}(t) = \left\| {\mathbf{T^{\prime}}(t)} \right\|\mathbf{\text{N}}(t),$ so

由于 $\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}$,可知 $\mathbf{T^{\prime}}(t) = \left\| {\mathbf{T^{\prime}}(t)} \right\|\mathbf{\text{N}}(t)$,于是

$$\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + v(t)\left\| {\mathbf{T^{\prime}}(t)} \right\|\mathbf{\text{N}}(t).$$

$$\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + v(t)\left\| {\mathbf{T^{\prime}}(t)} \right\|\mathbf{\text{N}}(t).$$

A formula for curvature is $\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|},$ so $\left\| {\mathbf{T^{\prime}}(t)} \right\| = \kappa\left\| {\mathbf{r^{\prime}}(t)} \right\| = \kappa v(t).$ This gives $\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + \kappa\left( {v(t)} \right)^{2}\mathbf{\text{N}}(t).$

曲率公式为 $\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}$,故 $\left\| {\mathbf{T^{\prime}}(t)} \right\| = \kappa\left\| {\mathbf{r^{\prime}}(t)} \right\| = \kappa v(t)$。于是得到 $\mathbf{\text{a}}(t) = v^{\prime}(t)\mspace{2mu}\mathbf{\text{T}}(t) + \kappa\left( {v(t)} \right)^{2}\mathbf{\text{N}}(t)$。

□(证毕)

The coefficients of $\mathbf{\text{T}}(t)$ and $\mathbf{\text{N}}(t)$ are referred to as the tangential component of acceleration and the normal component of acceleration, respectively. We write $a_{\mathbf{\text{T}}}$ to denote the tangential component and $a_{\mathbf{\text{N}}}$ to denote the normal component.

$\mathbf{\text{T}}(t)$ 与 $\mathbf{\text{N}}(t)$ 的系数分别称为加速度的切向分量与法向分量。我们用 $a_{\mathbf{\text{T}}}$ 表示切向分量,用 $a_{\mathbf{\text{N}}}$ 表示法向分量。

Tangential and Normal Components of Acceleration 加速度的切向分量与法向分量

Let $\mathbf{\text{r}}(t)$ be a vector-valued function that denotes the position of an object as a function of time. Then $\mathbf{\text{a}}(t) = \mathbf{\text{r''}}(t)$ is the acceleration vector. The tangential and normal components of acceleration $a_{\mathbf{\text{T}}}$ and $a_{\mathbf{\text{N}}}$ are given by the formulas

设 $\mathbf{\text{r}}(t)$ 为一个向量值函数,表示物体位置随时间的变化。则 $\mathbf{\text{a}}(t) = \mathbf{\text{r''}}(t)$ 就是加速度向量。加速度的切向分量与法向分量 $a_{\mathbf{\text{T}}}$、$a_{\mathbf{\text{N}}}$ 由以下公式给出

$$a_{\mathbf{\text{T}}} = \mathbf{\text{a}} \cdot \mathbf{\text{T}} = \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|}$$ (3.23)

$$a_{\mathbf{\text{T}}} = \mathbf{\text{a}} \cdot \mathbf{\text{T}} = \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|}$$ (3.23)

and

以及

$$a_{\mathbf{\text{N}}} = \mathbf{\text{a}} \cdot \mathbf{\text{N}} = \frac{\left\| {\mathbf{\text{v}}\ \times \ \mathbf{\text{a}}} \right\|}{\left\| \mathbf{\text{v}} \right\|} = \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - a_{\mathbf{\text{T}}}^{2}}.$$ (3.24)

$$a_{\mathbf{\text{N}}} = \mathbf{\text{a}} \cdot \mathbf{\text{N}} = \frac{\left\| {\mathbf{\text{v}}\ \times \ \mathbf{\text{a}}} \right\|}{\left\| \mathbf{\text{v}} \right\|} = \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - a_{\mathbf{\text{T}}}^{2}}.$$ (3.24)

These components are related by the formula

这两个分量由以下公式联系

$$\mathbf{\text{a}}(t) = a_{\mathbf{\text{T}}}\mathbf{\text{T}}(t) + a_{\mathbf{\text{N}}}\mathbf{\text{N}}(t).$$ (3.25)

$$\mathbf{\text{a}}(t) = a_{\mathbf{\text{T}}}\mathbf{\text{T}}(t) + a_{\mathbf{\text{N}}}\mathbf{\text{N}}(t).$$ (3.25)

Here $\mathbf{\text{T}}(t)$ is the unit tangent vector to the curve defined by $\mathbf{\text{r}}(t),$ and $\mathbf{\text{N}}(t)$ is the unit normal vector to the curve defined by $\mathbf{\text{r}}(t).$

这里 $\mathbf{\text{T}}(t)$ 是由 $\mathbf{\text{r}}(t)$ 定义的曲线的单位切向量,$\mathbf{\text{N}}(t)$ 是由 $\mathbf{\text{r}}(t)$ 定义的曲线的单位法向量。

The normal component of acceleration is also called the *centripetal component of acceleration* or sometimes the *radial component of acceleration*. To understand centripetal acceleration, suppose you are traveling in a car on a circular track at a constant speed. Then, as we saw earlier, the acceleration vector points toward the center of the track at all times. As a rider in the car, you feel a pull toward the *outside* of the track because you are constantly turning. This sensation acts in the opposite direction of centripetal acceleration. The same holds true for noncircular paths. The reason is that your body tends to travel in a straight line and resists the force resulting from acceleration that push it toward the side. Note that at point *B* in Figure 3.14 the acceleration vector is pointing backward. This is because the car is decelerating as it goes into the curve.

加速度的法向分量也称为*向心加速度分量*,有时称为*径向加速度分量*。为了理解向心加速度,假设你在圆形跑道上以恒定速率驾驶汽车。那么,正如我们前面所见,加速度向量始终指向跑道中心。作为车上的乘客,你会感到一股向跑道*外侧*的拉力,因为你在不停地转弯。这种感觉的方向与向心加速度相反。对于非圆形路径,情况同样成立。原因是你的身体倾向于沿直线运动,并抵抗把你推向一侧的加速度所产生的力。注意,在图 3.14 的点 *B* 处,加速度向量指向后方,这是因为汽车在进入弯道时正在减速。

The tangential and normal unit vectors at any given point on the curve provide a frame of reference at that point. The tangential and normal components of acceleration are the projections of the acceleration vector onto T and N, respectively.

曲线上任意给定点处的切向单位向量与法向单位向量,在该点处提供了一个参考系。加速度的切向分量与法向分量分别是加速度向量在 TN 上的投影。

Finding Components of Acceleration 求加速度的分量

A particle moves in a path defined by the vector-valued function $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \left( {2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{k}},$ where *t* measures time in seconds and distance is measured in feet.

一个质点沿由向量值函数 $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + \left( {2t - 3} \right)\mspace{2mu}\mathbf{\text{j}} + \left( {3t^{2} - 3t} \right)\mspace{2mu}\mathbf{\text{k}}$ 定义的路径运动,其中 *t* 以秒为单位,距离以英尺为单位。

1. Find $a_{\mathbf{\text{T}}}$ and $a_{\mathbf{\text{N}}}$ as functions of *t*.

1. 求 $a_{\mathbf{\text{T}}}$ 与 $a_{\mathbf{\text{N}}}$ 关于 *t* 的函数表达式。

2. Find $a_{\mathbf{\text{T}}}$ and $a_{\mathbf{\text{N}}}$ at time $t = 2.$

2. 求在时刻 $t = 2$ 时的 $a_{\mathbf{\text{T}}}$ 与 $a_{\mathbf{\text{N}}}$。

Solution

1. Let’s start with Equation 3.23:

1. 我们从公式 3.23 开始:

$$\begin{array}{cll} {\mathbf{\text{v}}(t)} & = & {\mathbf{r^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {\mathbf{\text{a}}(t)} & = & {\mathbf{v^{\prime}}(t) = 2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \\ a_{\mathbf{\text{T}}} & = & \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|} \\ & = & \frac{\left( {2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \right)}{\left\| {2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right\|} \\ & = & \frac{4t + 6\left( {6t - 3} \right)}{\sqrt{\left( {2t} \right)^{2} + 2^{2} + \left( {6t - 3} \right)^{2}}} \\ & = & {\frac{40t - 18}{\sqrt{40t^{2} - 36t + 13}}.} \end{array}$$

$$\begin{array}{cll} {\mathbf{\text{v}}(t)} & = & {\mathbf{r^{\prime}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \\ {\mathbf{\text{a}}(t)} & = & {\mathbf{v^{\prime}}(t) = 2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \\ a_{\mathbf{\text{T}}} & = & \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|} \\ & = & \frac{\left( {2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right) \cdot \left( {2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \right)}{\left\| {2t\mspace{2mu}\mathbf{\text{i}} + 2\mathbf{\text{j}} + \left( {6t - 3} \right)\mspace{2mu}\mathbf{\text{k}}} \right\|} \\ & = & \frac{4t + 6\left( {6t - 3} \right)}{\sqrt{\left( {2t} \right)^{2} + 2^{2} + \left( {6t - 3} \right)^{2}}} \\ & = & {\frac{40t - 18}{\sqrt{40t^{2} - 36t + 13}}.} \end{array}$$

Then we apply Equation 3.24:

接着我们应用公式 3.24:

$$\begin{array}{cl} a_{\mathbf{\text{N}}} & {= \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - {a\mspace{2mu}\mathbf{\text{T}}}^{2}}} \\ & {= \sqrt{\left\| {2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \right\|^{2} - \left( \frac{40t - 18}{\sqrt{40t^{2} - 36t + 13}} \right)^{2}}} \\ & {= \sqrt{4 + 36 - \frac{\left( {40t - 18} \right)^{2}}{40t^{2} - 36t + 13}}} \\ & {= \sqrt{\frac{40\left( {40t^{2} - 36t + 13} \right) - \left( {1600t^{2} - 1440t + 324} \right)}{40t^{2} - 36t + 13}}} \\ & {= \sqrt{\frac{196}{40t^{2} - 36t + 13}}} \\ & {= \frac{14}{\sqrt{40t^{2} - 36t + 13}}.} \end{array}$$

$$\begin{array}{cl} a_{\mathbf{\text{N}}} & {= \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - {a\mspace{2mu}\mathbf{\text{T}}}^{2}}} \\ & {= \sqrt{\left\| {2\mathbf{\text{i}} + 6\mathbf{\text{k}}} \right\|^{2} - \left( \frac{40t - 18}{\sqrt{40t^{2} - 36t + 13}} \right)^{2}}} \\ & {= \sqrt{4 + 36 - \frac{\left( {40t - 18} \right)^{2}}{40t^{2} - 36t + 13}}} \\ & {= \sqrt{\frac{40\left( {40t^{2} - 36t + 13} \right) - \left( {1600t^{2} - 1440t + 324} \right)}{40t^{2} - 36t + 13}}} \\ & {= \sqrt{\frac{196}{40t^{2} - 36t + 13}}} \\ & {= \frac{14}{\sqrt{40t^{2} - 36t + 13}}.} \end{array}$$

2. We must evaluate each of the answers from part a. at $t = 2\text{:}$

2. 我们必须对 (a) 部分得到的各结果在 $t = 2\text{:}$ 处求值。

$$\begin{array}{cll} {a_{\mathbf{\text{T}}}(2)} & = & \frac{40(2) - 18}{\sqrt{40(2)^{2} - 36(2) + 13}} \\ & = & {\frac{80 - 18}{\sqrt{160 - 72 + 13}} = \frac{62}{\sqrt{101}}} \\ {a_{\mathbf{\text{N}}}(2)} & = & \frac{14}{\sqrt{40(2)^{2} - 36(2) + 13}} \\ & = & {\frac{14}{\sqrt{160 - 72 + 13}} = \frac{14}{\sqrt{101}}.} \end{array}$$

$$\begin{array}{cll} {a_{\mathbf{\text{T}}}(2)} & = & \frac{40(2) - 18}{\sqrt{40(2)^{2} - 36(2) + 13}} \\ & = & {\frac{80 - 18}{\sqrt{160 - 72 + 13}} = \frac{62}{\sqrt{101}}} \\ {a_{\mathbf{\text{N}}}(2)} & = & \frac{14}{\sqrt{40(2)^{2} - 36(2) + 13}} \\ & = & {\frac{14}{\sqrt{160 - 72 + 13}} = \frac{14}{\sqrt{101}}.} \end{array}$$

The units of acceleration are feet per second squared, as are the units of the normal and tangential components of acceleration.

加速度的单位是英尺每二次方秒,法向分量与切向分量的单位也是如此。

An object moves in a path defined by the vector-valued function $\mathbf{\text{r}}(t) = 4t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}},$ where *t* measures time in seconds.

一个物体沿由向量值函数 $\mathbf{\text{r}}(t) = 4t\mspace{2mu}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}}$ 定义的路径运动,其中 *t* 以秒为单位。

1. Find $a_{\mathbf{\text{T}}}$ and $a_{\mathbf{\text{N}}}$ as functions of *t*.

1. 求 $a_{\mathbf{\text{T}}}$ 与 $a_{\mathbf{\text{N}}}$ 关于 *t* 的函数表达式。

2. Find $a_{\mathbf{\text{T}}}$ and $a_{\mathbf{\text{N}}}$ at time $t = -3.$

2. 求在时刻 $t = -3$ 时的 $a_{\mathbf{\text{T}}}$ 与 $a_{\mathbf{\text{N}}}$。

Projectile Motion 抛体运动

Now let’s look at an application of vector functions. In particular, let’s consider the effect of gravity on the motion of an object as it travels through the air, and how it determines the resulting trajectory of that object. In the following, we ignore the effect of air resistance. This situation, with an object moving with an initial velocity but with no forces acting on it other than gravity, is known as projectile motion. It describes the motion of objects from golf balls to baseballs, and from arrows to cannonballs.

现在来看向量函数的一个应用。具体地,我们考虑重力对物体在空气中的运动所产生的影响,以及它如何决定物体的运动轨迹。在下文中,我们忽略空气阻力。物体以初速度运动、且除重力外不受其他力作用的情形,称为抛体运动。它描述了从高尔夫球到棒球、从箭矢到炮弹等各类物体的运动。

First we need to choose a coordinate system. If we are standing at the origin of this coordinate system, then we choose the positive *y*-axis to be up, the negative *y-*axis to be down, and the positive *x-*axis to be forward (i.e., away from the thrower of the object). The effect of gravity is in a downward direction, so Newton’s second law tells us that the force on the object resulting from gravity is equal to the mass of the object times the acceleration resulting from to gravity, or $F_{g} = mg,$ where $F_{g}$ represents the force from gravity and *g* represents the acceleration resulting from gravity at Earth’s surface. The value of *g* in the English system of measurement is approximately 32 ft/sec2 and it is approximately 9.8 m/sec2 in the metric system. This is the only force acting on the object. Since gravity acts in a downward direction, we can write the force resulting from gravity in the form $F_{g} = \text{−}mg\mspace{2mu}\mathbf{\text{j}},$ as shown in the following figure.

首先我们需要选取一个坐标系。如果我们站在该坐标系的原点,则取正 *y* 轴向上,负 *y* 轴向下,正 *x* 轴向前(即远离抛物体的人的方向)。重力方向向下,因此牛顿第二定律告诉我们,重力作用于物体的力等于物体的质量乘以重力产生的加速度,即 $F_{g} = mg$,其中 $F_{g}$ 表示重力,*g* 表示地球表面处重力产生的加速度。在英制单位中,*g* 的值约为 32 ft/sec2;在公制单位中约为 9.8 m/sec2。这是作用于物体的唯一力。由于重力方向向下,我们可以把重力写成如下形式(如下图所示):$F_{g} = \text{−}mg\mspace{2mu}\mathbf{\text{j}}$。

Visit this website for a video showing projectile motion.

访问该网站可观看演示抛体运动的视频。

Newton’s second law also tells us that $F = m\mspace{2mu}\mathbf{\text{a}},$ where a represents the acceleration vector of the object. This force must be equal to the force of gravity at all times, so we therefore know that

牛顿第二定律还告诉我们 $F = m\mspace{2mu}\mathbf{\text{a}}$,其中 a 表示物体的加速度向量。这个力必须始终等于重力,因此我们得知

$$\begin{array}{rll} F & = & F_{g} \\ {m\mspace{2mu}\mathbf{\text{a}}} & = & {\text{−}mg\mspace{2mu}\mathbf{\text{j}}} \\ \mathbf{\text{a}} & = & {\text{−}g\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{rll} F & = & F_{g} \\ {m\mspace{2mu}\mathbf{\text{a}}} & = & {\text{−}mg\mspace{2mu}\mathbf{\text{j}}} \\ \mathbf{\text{a}} & = & {\text{−}g\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

Now we use the fact that the acceleration vector is the first derivative of the velocity vector. Therefore, we can rewrite the last equation in the form

现在我们利用加速度向量是速度向量的一阶导数这一事实,因此可把最后一个等式改写成如下形式

$$\mathbf{v^{\prime}}(t) = \text{−}g\mspace{2mu}\mathbf{\text{j}}.$$

$$\mathbf{v^{\prime}}(t) = \text{−}g\mspace{2mu}\mathbf{\text{j}}.$$

By taking the antiderivative of each side of this equation we obtain

对等式两边同时取反导数,我们得到

$$\begin{array}{cl} {\mathbf{\text{v}}(t)} & {= {\int{\text{−}g\mspace{2mu}\mathbf{\text{j}}dt}}} \\ & {= \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{C}}_{1}} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{v}}(t)} & {= {\int{\text{−}g\mspace{2mu}\mathbf{\text{j}}dt}}} \\ & {= \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{C}}_{1}} \end{array}$$

for some constant vector $\mathbf{\text{C}}_{1}.$ To determine the value of this vector, we can use the velocity of the object at a fixed time, say at time $t = 0.$ We call this velocity the *initial velocity*: $\mathbf{\text{v}}(0) = \mathbf{\text{v}}_{0}.$ Therefore, $\mathbf{\text{v}}(0) = \text{−}g(0)\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{C}}_{1} = \mathbf{\text{v}}_{0}$ and $\mathbf{\text{C}}_{1} = \mathbf{\text{v}}_{0}.$ This gives the velocity vector as $\mathbf{\text{v}}(t) = \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}.$

其中 $\mathbf{\text{C}}_{1}$ 是某个常向量。为确定该向量的值,我们可以利用物体在某一固定时刻(例如在 $t = 0$ 时)的速度。我们把这个速度称为*初速度*:$\mathbf{\text{v}}(0) = \mathbf{\text{v}}_{0}$。因此 $\mathbf{\text{v}}(0) = \text{−}g(0)\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{C}}_{1} = \mathbf{\text{v}}_{0}$,从而 $\mathbf{\text{C}}_{1} = \mathbf{\text{v}}_{0}$。于是速度向量为 $\mathbf{\text{v}}(t) = \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}$。

Next we use the fact that velocity $\mathbf{\text{v}}(t)$ is the derivative of position $\mathbf{\text{s}}(t).$ This gives the equation

接下来我们利用速度 $\mathbf{\text{v}}(t)$ 是位置 $\mathbf{\text{s}}(t)$ 的导数这一事实,于是得到方程

$$\mathbf{s^{\prime}}(t) = \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}.$$

$$\mathbf{s^{\prime}}(t) = \text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}.$$

Taking the antiderivative of both sides of this equation leads to

对等式两边同时取反导数,得到

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= {\int{\text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}dt}}} \\ & {= - \frac{1}{2}gt^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}t + \mathbf{\text{C}}_{2},} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= {\int{\text{−}gt\mspace{2mu}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}dt}}} \\ & {= - \frac{1}{2}gt^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}t + \mathbf{\text{C}}_{2},} \end{array}$$

with another unknown constant vector $\mathbf{\text{C}}_{2}.$ To determine the value of $\mathbf{\text{C}}_{2},$ we can use the position of the object at a given time, say at time $t = 0.$ We call this position the *initial position*: $\mathbf{\text{s}}(0) = \mathbf{\text{s}}_{0}.$ Therefore, $\mathbf{\text{s}}(0) = \text{−}\left( {1\text{/}2} \right)g(0)^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}(0) + \mathbf{\text{C}}_{2} = \mathbf{\text{s}}_{0}$ and $\mathbf{\text{C}}_{2} = \mathbf{\text{s}}_{0}.$ This gives the position of the object at any time as

其中 $\mathbf{\text{C}}_{2}$ 是另一个未知常向量。为确定 $\mathbf{\text{C}}_{2}$ 的值,我们可以利用物体在给定时刻(例如 $t = 0$)的位置。我们把这个位置称为*初位置*:$\mathbf{\text{s}}(0) = \mathbf{\text{s}}_{0}$。因此 $\mathbf{\text{s}}(0) = \text{−}\left( {1\text{/}2} \right)g(0)^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}(0) + \mathbf{\text{C}}_{2} = \mathbf{\text{s}}_{0}$,从而 $\mathbf{\text{C}}_{2} = \mathbf{\text{s}}_{0}$。于是物体在任意时刻的位置为

$$\mathbf{\text{s}}(t) = - \frac{1}{2}gt^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}t + \mathbf{\text{s}}_{0}.$$

$$\mathbf{\text{s}}(t) = - \frac{1}{2}gt^{2}\mathbf{\text{j}} + \mathbf{\text{v}}_{0}t + \mathbf{\text{s}}_{0}.$$

Let’s take a closer look at the initial velocity and initial position. In particular, suppose the object is thrown upward from the origin at an angle $\theta$ to the horizontal, with initial speed $v_{0}.$ How can we modify the previous result to reflect this scenario? First, we can assume it is thrown from the origin. If not, then we can move the origin to the point from where it is thrown. Therefore, $\mathbf{\text{s}}_{0} = \mathbf{0},$ as shown in the following figure.

我们更仔细地考察初速度与初位置。特别地,假设物体从原点以与水平方向成 $\theta$ 角的方向向上抛出,初速率为 $v_{0}$。我们如何修改前面的结果以反映这一情形?首先,可以假设物体从原点抛出;否则,我们可把原点移到抛出点。于是 $\mathbf{\text{s}}_{0} = \mathbf{0}$,如下图所示。

We can rewrite the initial velocity vector in the form $\mathbf{\text{v}}_{0} = v_{0}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}}.$ Then the equation for the position function $\mathbf{\text{s}}(t)$ becomes

我们可以把初速度向量改写成如下形式 $\mathbf{\text{v}}_{0} = v_{0}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}}$。于是位置函数 $\mathbf{\text{s}}(t)$ 的方程变为

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= - \frac{1}{2}gt^{2}\mspace{2mu}\mathbf{\text{j}} + v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}}} \\ & {= v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}} - \frac{1}{2}gt^{2}\mspace{2mu}\mathbf{\text{j}}} \\ & {= v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu} - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= - \frac{1}{2}gt^{2}\mspace{2mu}\mathbf{\text{j}} + v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}}} \\ & {= v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{j}} - \frac{1}{2}gt^{2}\mspace{2mu}\mathbf{\text{j}}} \\ & {= v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta\mspace{2mu} - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

The coefficient of i represents the horizontal component of $\mathbf{\text{s}}(t)$ and is the horizontal distance of the object from the origin at time *t.* The maximum value of the horizontal distance (measured at the same initial and final altitude) is called the range *R*. The coefficient of j represents the vertical component of $\mathbf{\text{s}}(t)$ and is the altitude of the object at time *t.* The maximum value of the vertical distance is the height *H*.

i 的系数表示 $\mathbf{\text{s}}(t)$ 的水平分量,即物体在时刻 *t* 时离原点的水平距离。水平距离的最大值(在初、末高度相同时测得)称为射程 *R*。j 的系数表示 $\mathbf{\text{s}}(t)$ 的竖直分量,即物体在时刻 *t* 时的高度。竖直距离的最大值称为高度 *H*。

Motion of a Cannonball 炮弹的运动

During an Independence Day celebration, a cannonball is fired from a cannon on a cliff toward the water. The cannon is aimed at an angle of 30° above horizontal and the initial speed of the cannonball is $600\ \text{ft/sec}\text{.}$ The cliff is 100 ft above the water (Figure 3.17).

在独立日庆祝活动中,一枚炮弹从悬崖上的火炮射向水面。火炮以高出水平方向 30° 的角度瞄准,炮弹的初速率为 $600\ \text{ft/sec}\text{.}$。悬崖高出水面 100 ft(图 3.17)。

1. Find the maximum height of the cannonball.

1. 求炮弹的最大高度。

2. How long will it take for the cannonball to splash into the sea?

2. 炮弹要多长时间才会溅入海中?

3. How far out to sea will the cannonball hit the water?

3. 炮弹会在距海岸多远处击中水面?

Solution

We use the equation

我们使用方程

$$\mathbf{\text{s}}(t) = v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}$$

$$\mathbf{\text{s}}(t) = v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}$$

with $\theta = 30\text{°},$ $g = 32{\ \text{ft/sec}}^{2},$ and $v_{0} = 600$ ft/sec. Then the position equation becomes

其中 $\theta = 30\text{°}$,$g = 32{\ \text{ft/sec}}^{2}$,$v_{0} = 600$ ft/sec。于是位置方程变为

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= 600t\left( {\text{cos}\mspace{2mu} 30} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {600t\mspace{2mu}\text{sin}\mspace{2mu} 30 - \frac{1}{2}(32)t^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 300t\sqrt{3}\mathbf{\text{i}} + \left( {300t - 16t^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}(t)} & {= 600t\left( {\text{cos}\mspace{2mu} 30} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {600t\mspace{2mu}\text{sin}\mspace{2mu} 30 - \frac{1}{2}(32)t^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 300t\sqrt{3}\mathbf{\text{i}} + \left( {300t - 16t^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

1. The cannonball reaches its maximum height when the vertical component of its velocity is zero, because the cannonball is neither rising nor falling at that point. The velocity vector is

1. 当炮弹速度的竖直分量为零时,炮弹达到最大高度,因为此时炮弹既不在上升也不在下降。速度向量为

$$\begin{array}{cl} {\mathbf{\text{v}}(t)} & {= \mathbf{s^{\prime}}(t)} \\ & {= 300\sqrt{3}\mathbf{\text{i}} + \left( {300 - 32t} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{v}}(t)} & {= \mathbf{s^{\prime}}(t)} \\ & {= 300\sqrt{3}\mathbf{\text{i}} + \left( {300 - 32t} \right)\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

Therefore, the vertical component of velocity is given by the expression $300 - 32t.$ Setting this expression equal to zero and solving for *t* gives $t = 9.375$ sec. The height of the cannonball at this time is given by the vertical component of the position vector, evaluated at $t = 9.375.$

因此,速度的竖直分量由表达式 $300 - 32t$ 给出。令该表达式等于零并解出 *t*,得 $t = 9.375$ 秒。此时炮弹的高度由位置向量的竖直分量在 $t = 9.375$ 处的值给出。

$$\begin{array}{cl} {\mathbf{\text{s}}(9.375)} & {= 300(9.375)\sqrt{3}\mathbf{\text{i}} + \left( {300(9.375) - 16(9.375)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 4871.39\mathbf{\text{i}} + 1406.25\mathbf{\text{j}}} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}(9.375)} & {= 300(9.375)\sqrt{3}\mathbf{\text{i}} + \left( {300(9.375) - 16(9.375)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 4871.39\mathbf{\text{i}} + 1406.25\mathbf{\text{j}}} \end{array}$$

Therefore, the maximum height of the cannonball is 1406.39 ft above the cannon, or 1506.39 ft above sea level.

因此,炮弹的最大高度为高出火炮 1406.39 ft,即高出海平面 1506.39 ft。

2. When the cannonball lands in the water, it is 100 ft below the cannon. Therefore, the vertical component of the position vector is equal to $-100.$ Setting the vertical component of $\mathbf{\text{s}}(t)$ equal to $-100$ and solving, we obtain

2. 当炮弹落入水中时,它位于火炮下方 100 ft 处。因此,位置向量的竖直分量等于 $-100$。令 $\mathbf{\text{s}}(t)$ 的竖直分量等于 $-100$ 并求解,我们得到

$$\begin{array}{cll} & & \\ {300t - 16t^{2}} & = & -100 \\ {16t^{2} - 300t - 100} & = & 0 \\ {4t^{2} - 75t - 25} & = & 0 \\ t & = & \frac{75 \pm \sqrt{(-75)^{2} - 4(4)(-25)}}{2(4)} \\ & = & \frac{75 \pm \sqrt{6025}}{8} \\ & = & {\frac{75 \pm 5\sqrt{241}}{8}.} \end{array}$$

$$\begin{array}{cll} & & \\ {300t - 16t^{2}} & = & -100 \\ {16t^{2} - 300t - 100} & = & 0 \\ {4t^{2} - 75t - 25} & = & 0 \\ t & = & \frac{75 \pm \sqrt{(-75)^{2} - 4(4)(-25)}}{2(4)} \\ & = & \frac{75 \pm \sqrt{6025}}{8} \\ & = & {\frac{75 \pm 5\sqrt{241}}{8}.} \end{array}$$

The positive value of *t* that solves this equation is approximately 19.08. Therefore, the cannonball hits the water after approximately 19.08 sec.

该方程的正数解约为 19.08。因此,炮弹约在 19.08 秒后击中水面。

3. To find the distance out to sea, we simply substitute the answer from part (b) into $\mathbf{\text{s}}(t)\text{:}$

3. 为了求距海岸的距离,我们只需把 (b) 部分的答案代入 $\mathbf{\text{s}}(t)\text{:}$

$$\begin{array}{cl} {\mathbf{\text{s}}(19.08)} & {= 300(19.08)\sqrt{3}\mathbf{\text{i}} + \left( {300(19.08) - 16(19.08)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 9914.26\mspace{2mu}\mathbf{\text{i}} - 100.7424\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}(19.08)} & {= 300(19.08)\sqrt{3}\mathbf{\text{i}} + \left( {300(19.08) - 16(19.08)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= 9914.26\mspace{2mu}\mathbf{\text{i}} - 100.7424\mspace{2mu}\mathbf{\text{j}}.} \end{array}$$

Therefore, the ball hits the water about 9914.26 ft away from the base of the cliff. Notice that the vertical component of the position vector is very close to $-100,$ which tells us that the ball just hit the water. Note that 9914.26 feet is not the true range of the cannon since the cannonball lands in the ocean at a location below the cannon. The range of the cannon would be determined by finding how far out the cannonball is when its height is 100 ft above the water (the same as the altitude of the cannon).

因此,炮弹在距悬崖底部约 9914.26 ft 处击中水面。注意位置向量的竖直分量非常接近 $-100$,这说明炮弹刚刚入水。注意 9914.26 英尺并不是火炮的真实射程,因为炮弹落海点低于火炮。火炮的射程应由炮弹高度处于水面以上 100 ft(即与火炮等高)时离火炮的水平距离来确定。

An archer fires an arrow at an angle of 40° above the horizontal with an initial speed of 98 m/sec. The height of the archer is 171.5 cm. Find the horizontal distance the arrow travels before it hits the ground.

一名弓箭手以高出水平方向 40° 的角度、初速率 98 m/sec 射出一箭。弓箭手身高 171.5 cm。求该箭在落地前飞行的水平距离。

One final question remains: In general, what is the maximum distance a projectile can travel, given its initial speed? To determine this distance, we assume the projectile is fired from ground level and we wish it to return to ground level. In other words, we want to determine an equation for the range. In this case, the equation of projectile motion is

还剩最后一个问题:一般地,在给定初速度的情况下,抛体能飞行的最大距离是多少?为确定这一距离,我们假设抛体从地面发射并落回地面,也就是说,我们希望求出射程的方程。此时,抛体运动方程为

$$\mathbf{\text{s}}(t) = v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.$$

$$\mathbf{\text{s}}(t) = v_{0}t\mspace{2mu}\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} \right)\mspace{2mu}\mathbf{\text{j}}.$$

Setting the second component equal to zero and solving for *t* yields

令第二个分量为零并对 *t* 求解,得到

$$\begin{array}{rll} & & \\ {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} & = & 0 \\ {t\left( {v_{0}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt} \right)} & = & 0. \end{array}$$

$$\begin{array}{rll} & & \\ {v_{0}t\mspace{2mu}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt^{2}} & = & 0 \\ {t\left( {v_{0}\text{sin}\mspace{2mu}\theta - \frac{1}{2}gt} \right)} & = & 0. \end{array}$$

Therefore, either $t = 0$ or $t = \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g}.$ We are interested in the second value of *t*, so we substitute this into $\mathbf{\text{s}}(t),$ which gives

因此,要么 $t = 0$,要么 $t = \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g}$。我们关心的是 *t* 的第二个值,于是把它代入 $\mathbf{\text{s}}(t)$,得到

$$\begin{array}{cl} {\mathbf{\text{s}}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)} & {= v_{0}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)\text{sin}\mspace{2mu}\theta - \frac{1}{2}g\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( \frac{2v_{0}^{2}\text{sin}\mspace{2mu}\theta\mspace{2mu}\text{cos}\mspace{2mu}\theta}{g} \right)\mspace{2mu}\mathbf{\text{i}}} \\ & {= \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g}\mathbf{\text{i}}.} \end{array}$$

$$\begin{array}{cl} {\mathbf{\text{s}}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)} & {= v_{0}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)\text{cos}\mspace{2mu}\theta\mspace{2mu}\mathbf{\text{i}} + \left( {v_{0}\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)\text{sin}\mspace{2mu}\theta - \frac{1}{2}g\left( \frac{2v_{0}\text{sin}\mspace{2mu}\theta}{g} \right)^{2}} \right)\mspace{2mu}\mathbf{\text{j}}} \\ & {= \left( \frac{2v_{0}^{2}\text{sin}\mspace{2mu}\theta\mspace{2mu}\text{cos}\mspace{2mu}\theta}{g} \right)\mspace{2mu}\mathbf{\text{i}}} \\ & {= \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g}\mathbf{\text{i}}.} \end{array}$$

Thus, the expression for the range of a projectile fired at an angle $\theta$ is

于是,以角度 $\theta$ 发射的抛体其射程表达式为

$$R = \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g}\mathbf{\text{i}}.$$

$$R = \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g}\mathbf{\text{i}}.$$

The only variable in this expression is $\theta.$ To maximize the distance traveled, take the derivative of the coefficient of i with respect to $\theta$ and set it equal to zero:

该表达式中唯一的变量是 $\theta$。为使飞行距离最大,对 i 的系数关于 $\theta$ 求导并令其等于零:

$$\begin{array}{rll} & & \\ & & \\ {\frac{d}{d\theta}\left( \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g} \right)} & = & 0 \\ \frac{2v_{0}^{2}\text{cos}\mspace{2mu} 2\theta}{g} & = & 0 \\ \theta & = & {45\text{°}.} \end{array}$$

$$\begin{array}{rll} & & \\ & & \\ {\frac{d}{d\theta}\left( \frac{v_{0}^{2}\text{sin}\mspace{2mu} 2\theta}{g} \right)} & = & 0 \\ \frac{2v_{0}^{2}\text{cos}\mspace{2mu} 2\theta}{g} & = & 0 \\ \theta & = & {45\text{°}.} \end{array}$$

This value of $\theta$ is the smallest positive value that makes the derivative equal to zero. Therefore, in the absence of air resistance, the best angle to fire a projectile (to maximize the range) is at a $45\text{°}$ angle. The distance it travels is given by

这个 $\theta$ 是使导数等于零的最小正数值。因此,在无空气阻力的情况下,使射程最大的最佳发射角度为 $45\text{°}$。它飞行的距离由下式给出

$$\mathbf{\text{s}}\left( \frac{2v_{0}\text{sin}\mspace{2mu} 45}{g} \right) = \frac{v_{0}^{2}\text{sin}\mspace{2mu} 90}{g}\mathbf{\text{i}} = \frac{v_{0}^{2}}{g}\mathbf{\text{j}}.$$

$$\mathbf{\text{s}}\left( \frac{2v_{0}\text{sin}\mspace{2mu} 45}{g} \right) = \frac{v_{0}^{2}\text{sin}\mspace{2mu} 90}{g}\mathbf{\text{i}} = \frac{v_{0}^{2}}{g}\mathbf{\text{j}}.$$

Therefore, the range for an angle of $45\text{°}$ is $v_{0}^{2}\text{/}{g.}$

因此,角度为 $45\text{°}$ 时的射程为 $v_{0}^{2}\text{/}{g}$。

Kepler’s Laws 开普勒定律

During the early 1600s, Johannes Kepler was able to use the amazingly accurate data from his mentor Tycho Brahe to formulate his three laws of planetary motion, now known as Kepler’s laws of planetary motion. These laws also apply to other objects in the solar system in orbit around the Sun, such as comets (e.g., Halley’s comet) and asteroids. Variations of these laws apply to satellites in orbit around Earth.

17 世纪初,约翰内斯·开普勒利用其导师第谷·布拉赫留下的极为精确的数据,提出了三条行星运动定律,即今天所称的开普勒行星运动定律。这些定律同样适用于太阳系中绕太阳运行的其他天体,如彗星(例如哈雷彗星)与小行星。这些定律的变形形式还适用于绕地球运行的卫星。

Kepler’s Laws of Planetary Motion 开普勒行星运动定律

1. The path of any planet about the Sun is elliptical in shape, with the center of the Sun located at one focus of the ellipse (the law of ellipses).

1. 任何行星绕太阳运行的轨道都是椭圆形,太阳中心位于该椭圆的一个焦点上(椭圆定律)。

2. A line drawn from the center of the Sun to the center of a planet sweeps out equal areas in equal time intervals (the law of equal areas) (Figure 3.18).

2. 从太阳中心到行星中心的连线在相等的时间间隔内扫过相等的面积(面积定律)(图 3.18)。

3. The ratio of the squares of the periods of any two planets is equal to the ratio of the cubes of the lengths of their semimajor orbital axes (the law of harmonies).

3. 任意两颗行星公转周期的平方之比,等于它们轨道半长轴长度的立方之比(调和定律)。

Kepler’s third law is especially useful when using appropriate units. In particular, *1 astronomical unit* is defined to be the average distance from Earth to the Sun, and is now recognized to be 149,597,870,700 m or, approximately 93,000,000 mi. We therefore write 1 A.U. = 93,000,000 mi. Since the time it takes for Earth to orbit the Sun is 1 year, we use Earth years for units of time. Then, substituting 1 year for the period of Earth and 1 A.U. for the average distance to the Sun, Kepler’s third law can be written as

选取合适的单位时,开普勒第三定律尤为便于使用。特别地,*1 个天文单位*定义为地球到太阳的平均距离,现已测定为 149,597,870,700 m,约合 93,000,000 mi。因此记 1 A.U. = 93,000,000 mi。由于地球绕太阳一周所需时间为 1 年,时间单位便取地球年。于是,把地球的周期取为 1 年、到太阳的平均距离取为 1 A.U.,开普勒第三定律可写成

$$T_{p}^{2} = D_{p}^{3}$$

$$T_{p}^{2} = D_{p}^{3}$$

for any planet in the solar system, where $T_{P}$ is the period of that planet measured in Earth years and $D_{P}$ is the average distance from that planet to the Sun measured in astronomical units. Therefore, if we know the average distance from a planet to the Sun (in astronomical units), we can then calculate the length of its year (in Earth years), and vice versa.

此式对太阳系中任何行星都成立,其中 $T_{P}$ 是以地球年为单位度量的该行星周期,$D_{P}$ 是以天文单位度量的该行星到太阳的平均距离。因此,若已知某行星到太阳的平均距离(以天文单位计),便可算出它一年的长度(以地球年计),反之亦然。

Kepler’s laws were formulated based on observations from Brahe; however, they were not proved formally until Sir Isaac Newton was able to apply calculus. Furthermore, Newton was able to generalize Kepler’s third law to other orbital systems, such as a moon orbiting around a planet. Kepler’s original third law only applies to objects orbiting the Sun.

开普勒定律是依据布拉赫的观测数据总结出来的;但直到艾萨克·牛顿爵士运用微积分,它们才得到严格证明。此外,牛顿还把开普勒第三定律推广到其他轨道系统,例如绕行星运行的卫星。开普勒最初的第三定律只适用于绕太阳运行的天体。

Proof 证明

Let’s now prove Kepler’s first law using the calculus of vector-valued functions. First we need a coordinate system. Let’s place the Sun at the origin of the coordinate system and let the vector-valued function $\mathbf{\text{r}}(t)$ represent the location of a planet as a function of time. Newton proved Kepler’s law using his second law of motion and his law of universal gravitation. Newton’s second law of motion can be written as $\mathbf{\text{F}} = m\mspace{2mu}\mathbf{\text{a}},$ where F represents the net force acting on the planet. His law of universal gravitation can be written in the form $\mathbf{\text{F}} = - \frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}} \cdot \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|},$ which indicates that the force resulting from the gravitational attraction of the Sun points back toward the Sun, and has magnitude $\frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}}$ (Figure 3.19).

下面用向量值函数的微积分证明开普勒第一定律。首先需要一个坐标系。把太阳置于坐标系原点,并用向量值函数 $\mathbf{\text{r}}(t)$ 表示行星位置随时间的变化。牛顿用他的第二运动定律与万有引力定律证明了开普勒定律。牛顿第二运动定律可写成 $\mathbf{\text{F}} = m\mspace{2mu}\mathbf{\text{a}},$ 其中 F 表示作用于该行星的合力。万有引力定律可写成 $\mathbf{\text{F}} = - \frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}} \cdot \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|},$ 它表明太阳的引力指向太阳,其大小为 $\frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}}$(图 3.19)。

Setting these two forces equal to each other, and using the fact that $\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t),$ we obtain

令这两个力相等,并利用 $\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t),$ 得到

$$m\mspace{2mu}\mathbf{v^{\prime}}(t) = - \frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}} \cdot \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|},$$

$$m\mspace{2mu}\mathbf{v^{\prime}}(t) = - \frac{GmM}{\left\| \mathbf{\text{r}} \right\|^{2}} \cdot \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|},$$

which can be rewritten as

它可改写为

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt} = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\mathbf{\text{r}}.$$

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt} = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\mathbf{\text{r}}.$$

This equation shows that the vectors ${d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}$ and r are parallel to each other, so ${{d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}}\ \times \ \mathbf{\text{r}} = \mathbf{0}.$ Next, let’s differentiate $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}$ with respect to time:

该式表明向量 ${d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}$ 与 r 互相平行,故 ${{d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}}\ \times \ \mathbf{\text{r}} = \mathbf{0}.$ 接下来把 $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}$ 对时间求导:

$$\frac{d}{dt}\left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) = \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt}\ \times \ \mathbf{\text{v}} + \mathbf{\text{r}}\ \times \ \frac{d\mspace{2mu}\mathbf{\text{v}}}{dt} = \mathbf{\text{v}}\ \times \ \mathbf{\text{v}} + \mathbf{0} = \mathbf{0}.$$

$$\frac{d}{dt}\left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) = \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt}\ \times \ \mathbf{\text{v}} + \mathbf{\text{r}}\ \times \ \frac{d\mspace{2mu}\mathbf{\text{v}}}{dt} = \mathbf{\text{v}}\ \times \ \mathbf{\text{v}} + \mathbf{0} = \mathbf{0}.$$

This proves that $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}$ is a constant vector, which we call C. Since $\mathbf{\text{r}}$ and v are both perpendicular to C for all values of *t*, they must lie in a plane perpendicular to C. Therefore, the motion of the planet lies in a plane.

这说明 $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}$ 是常向量,记作 C。由于对一切 *t* 值 $\mathbf{\text{r}}$ 与 v 都垂直于 C,二者必位于一个垂直于 C 的平面内。因此该行星的运动落在一个平面上。

Next we calculate the expression ${{d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}}\ \times \ \mathbf{\text{C}}\text{:}$

接着计算表达式 ${{d\mspace{2mu}\mathbf{\text{v}}}\text{/}{dt}}\ \times \ \mathbf{\text{C}}\text{:}$

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}} = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\mathbf{\text{r}}\ \times \ \left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}{\left\lbrack {\left( {\mathbf{\text{r}} \cdot \mathbf{\text{v}}} \right)\mspace{2mu}\mathbf{\text{r}} - \left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right)\mspace{2mu}\mathbf{\text{v}}} \right\rbrack.}$$ (3.26)

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}} = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\mathbf{\text{r}}\ \times \ \left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) = - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}{\left\lbrack {\left( {\mathbf{\text{r}} \cdot \mathbf{\text{v}}} \right)\mspace{2mu}\mathbf{\text{r}} - \left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right)\mspace{2mu}\mathbf{\text{v}}} \right\rbrack.}$$ (3.26)

The last equality in Equation 3.26 is from the triple cross product formula.

式 3.26 中最后一个等号来自三重叉积公式。

Visit this website for an explanation of the triple cross product formula.

该网站给出了三重叉积公式的说明。

We need an expression for $\mathbf{\text{r}} \cdot \mathbf{\text{v}}.$ To calculate this, we differentiate $\mathbf{\text{r}} \cdot \mathbf{\text{r}}$ with respect to time:

还需要 $\mathbf{\text{r}} \cdot \mathbf{\text{v}}.$ 的表达式。为此把 $\mathbf{\text{r}} \cdot \mathbf{\text{r}}$ 对时间求导:

$$\frac{d}{dt}\left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right) = \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} \cdot \mathbf{\text{r}} + \mathbf{\text{r}} \cdot \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} = 2\mathbf{\text{r}} \cdot \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} = 2\mathbf{\text{r}} \cdot \mathbf{\text{v}}.$$ (3.27)

$$\frac{d}{dt}\left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right) = \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} \cdot \mathbf{\text{r}} + \mathbf{\text{r}} \cdot \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} = 2\mathbf{\text{r}} \cdot \frac{d\mspace{2mu}\mathbf{\text{r}}}{dt} = 2\mathbf{\text{r}} \cdot \mathbf{\text{v}}.$$ (3.27)

Since $\mathbf{\text{r}} \cdot \mathbf{\text{r}} = \left\| \mathbf{\text{r}} \right\|^{2},$ we also have

由于 $\mathbf{\text{r}} \cdot \mathbf{\text{r}} = \left\| \mathbf{\text{r}} \right\|^{2},$ 又有

$$\frac{d}{dt}\left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right) = \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|^{2} = 2\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.$$ (3.28)

$$\frac{d}{dt}\left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right) = \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|^{2} = 2\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.$$ (3.28)

Combining Equation 3.27 and Equation 3.28, we get

把式 3.27 与式 3.28 合并,得

$$\begin{array}{rll}

$$\begin{array}{rll}

{2\mathbf{\text{r}} \cdot \mathbf{\text{v}}} & = & {2\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \\

{2\mathbf{\text{r}} \cdot \mathbf{\text{v}}} & = & {2\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \\

{\mathbf{\text{r}} \cdot \mathbf{\text{v}}} & = & {\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.}

{\mathbf{\text{r}} \cdot \mathbf{\text{v}}} & = & {\left\| \mathbf{\text{r}} \right\|\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.}

\end{array}$$

\end{array}$$

Substituting this into Equation 3.26 gives us

将其代入式 3.26,得到

$$\begin{array}{cl}

$$\begin{array}{cl}

{\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}}} & {= - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\left\lbrack {\left( {\mathbf{\text{r}} \cdot \mathbf{\text{v}}} \right)\mspace{2mu}\mathbf{\text{r}} - \left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right)\mspace{2mu}\mathbf{\text{v}}} \right\rbrack} \\

{\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}}} & {= - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\left\lbrack {\left( {\mathbf{\text{r}} \cdot \mathbf{\text{v}}} \right)\mspace{2mu}\mathbf{\text{r}} - \left( {\mathbf{\text{r}} \cdot \mathbf{\text{r}}} \right)\mspace{2mu}\mathbf{\text{v}}} \right\rbrack} \\

& {= - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\left\lbrack {\left\| \mathbf{\text{r}} \right\|\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)\mspace{2mu}\mathbf{\text{r}} - \left\| \mathbf{\text{r}} \right\|^{2}\mathbf{\text{v}}} \right\rbrack} \\

& {= - \frac{GM}{\left\| \mathbf{\text{r}} \right\|^{3}}\left\lbrack {\left\| \mathbf{\text{r}} \right\|\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)\mspace{2mu}\mathbf{\text{r}} - \left\| \mathbf{\text{r}} \right\|^{2}\mathbf{\text{v}}} \right\rbrack} \\

& {= \text{−}GM\left\lbrack {\frac{1}{\left\| \mathbf{\text{r}} \right\|^{2}}\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)\mspace{2mu}\mathbf{\text{r}} - \frac{1}{\left\| \mathbf{\text{r}} \right\|}\mathbf{\text{v}}} \right\rbrack} \\

& {= \text{−}GM\left\lbrack {\frac{1}{\left\| \mathbf{\text{r}} \right\|^{2}}\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)\mspace{2mu}\mathbf{\text{r}} - \frac{1}{\left\| \mathbf{\text{r}} \right\|}\mathbf{\text{v}}} \right\rbrack} \\

& {= GM\left\lbrack {\frac{\mathbf{\text{v}}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)} \right\rbrack.}

& {= GM\left\lbrack {\frac{\mathbf{\text{v}}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\left( {\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \right)} \right\rbrack.}

\end{array}$$ (3.29)

\end{array}$$ (3.29)

However,

然而,

$$\begin{array}{cl}

$$\begin{array}{cl}

{\frac{d}{dt}\ \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|}} & {= \frac{\frac{d}{dt}\left( \mathbf{\text{r}} \right)\left\| \mathbf{\text{r}} \right\| - \mathbf{\text{r}}\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|}{\left\| \mathbf{\text{r}} \right\|^{2}}} \\

{\frac{d}{dt}\ \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|}} & {= \frac{\frac{d}{dt}\left( \mathbf{\text{r}} \right)\left\| \mathbf{\text{r}} \right\| - \mathbf{\text{r}}\frac{d}{dt}\left\| \mathbf{\text{r}} \right\|}{\left\| \mathbf{\text{r}} \right\|^{2}}} \\

& {= \frac{\frac{d\mspace{2mu}\mathbf{\text{r}}}{dt}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\ \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \\

& {= \frac{\frac{d\mspace{2mu}\mathbf{\text{r}}}{dt}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\ \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|} \\

& {= \frac{\mathbf{\text{v}}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\ \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.}

& {= \frac{\mathbf{\text{v}}}{\left\| \mathbf{\text{r}} \right\|} - \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|^{2}}\ \frac{d}{dt}\left\| \mathbf{\text{r}} \right\|.}

\end{array}$$

\end{array}$$

Therefore, Equation 3.29 becomes

因此式 3.29 化为

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}} = GM\left( {\frac{d}{dt}\ \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|}} \right).$$

$$\frac{d\mspace{2mu}\mathbf{\text{v}}}{dt}\ \times \ \mathbf{\text{C}} = GM\left( {\frac{d}{dt}\ \frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|}} \right).$$

Since C is a constant vector, we can integrate both sides and obtain

由于 C 是常向量,可对两边积分,得

$$\mathbf{\text{v}}\ \times \ \mathbf{\text{C}} = GM\frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{D}},$$

$$\mathbf{\text{v}}\ \times \ \mathbf{\text{C}} = GM\frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{D}},$$

where D is a constant vector. Our goal is to solve for $\left\| \mathbf{\text{r}} \right\|.$ Let’s start by calculating $\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right)\text{:}$

其中 D 是常向量。目标是解出 $\left\| \mathbf{\text{r}} \right\|.$ 先计算 $\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right)\text{:}$

$$\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right) = \mathbf{\text{r}} \cdot \left( {GM\frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{D}}} \right) = GM\frac{\left\| \mathbf{\text{r}} \right\|^{2}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{r}} \cdot \mathbf{\text{D}} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

$$\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right) = \mathbf{\text{r}} \cdot \left( {GM\frac{\mathbf{\text{r}}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{D}}} \right) = GM\frac{\left\| \mathbf{\text{r}} \right\|^{2}}{\left\| \mathbf{\text{r}} \right\|} + \mathbf{\text{r}} \cdot \mathbf{\text{D}} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

However, $\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right) = \left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) \cdot \mathbf{\text{C}},$ so

但 $\mathbf{\text{r}} \cdot \left( {\mathbf{\text{v}}\ \times \ \mathbf{\text{C}}} \right) = \left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) \cdot \mathbf{\text{C}},$ 于是

$$\left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) \cdot \mathbf{\text{C}} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

$$\left( {\mathbf{\text{r}}\ \times \ \mathbf{\text{v}}} \right) \cdot \mathbf{\text{C}} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

Since $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}} = \mathbf{\text{C}},$ we have

由于 $\mathbf{\text{r}}\ \times \ \mathbf{\text{v}} = \mathbf{\text{C}},$ 便有

$$\left\| \mathbf{\text{C}} \right\|^{2} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

$$\left\| \mathbf{\text{C}} \right\|^{2} = GM\left\| \mathbf{\text{r}} \right\| + \mathbf{\text{r}} \cdot \mathbf{\text{D}}.$$

Note that $\mathbf{\text{r}} \cdot \mathbf{\text{D}} = \left\| \mathbf{\text{r}} \right\|\left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta,$ where $\theta$ is the angle between r and D. Therefore,

注意 $\mathbf{\text{r}} \cdot \mathbf{\text{D}} = \left\| \mathbf{\text{r}} \right\|\left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta,$ 其中 $\theta$ 是 rD 的夹角。因此

$$\left\| \mathbf{\text{C}} \right\|^{2} = GM\left\| \mathbf{\text{r}} \right\| + \left\| \mathbf{\text{r}} \right\|\left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta.$$

$$\left\| \mathbf{\text{C}} \right\|^{2} = GM\left\| \mathbf{\text{r}} \right\| + \left\| \mathbf{\text{r}} \right\|\left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta.$$

Solving for $\left\| \mathbf{\text{r}} \right\|,$

解出 $\left\| \mathbf{\text{r}} \right\|,$

$$\left\| \mathbf{\text{r}} \right\| = \frac{\left\| \mathbf{\text{C}} \right\|^{2}}{GM + \left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta} = \frac{\left\| \mathbf{\text{C}} \right\|^{2}}{GM}\left( \frac{1}{1 + e\mspace{2mu}\text{cos}\mspace{2mu}\theta} \right),$$

$$\left\| \mathbf{\text{r}} \right\| = \frac{\left\| \mathbf{\text{C}} \right\|^{2}}{GM + \left\| \mathbf{\text{D}} \right\|\text{cos}\mspace{2mu}\theta} = \frac{\left\| \mathbf{\text{C}} \right\|^{2}}{GM}\left( \frac{1}{1 + e\mspace{2mu}\text{cos}\mspace{2mu}\theta} \right),$$

where $e = {\left\| \mathbf{\text{D}} \right\|\text{/}{GM}}.$ This is the polar equation of a conic with a focus at the origin, which we set up to be the Sun. It is a hyperbola if $e > 1,$ a parabola if $e = 1,$ or an ellipse if $e < 1.$ Since planets have closed orbits, the only possibility is an ellipse. However, at this point it should be mentioned that hyperbolic comets do exist. These are objects that are merely passing through the solar system at speeds too great to be trapped into orbit around the Sun. As they pass close enough to the Sun, the gravitational field of the Sun deflects the trajectory enough so the path becomes hyperbolic.

其中 $e = {\left\| \mathbf{\text{D}} \right\|\text{/}{GM}}.$ 这是以原点为一个焦点的圆锥曲线的极坐标方程,而原点已设在太阳处。若 $e > 1$ 则为双曲线,若 $e = 1$ 则为抛物线,若 $e < 1$ 则为椭圆。行星的轨道是闭合的,故只可能是椭圆。不过这里应当指出,双曲线轨道的彗星确实存在。这类天体只是以过大的速率穿越太阳系,快得无法被太阳捕获成为绕日轨道天体。当它们足够靠近太阳时,太阳的引力场会使其轨迹发生足够的偏折,从而路径成为双曲线。

Using Kepler’s Third Law for Nonheliocentric Orbits 将开普勒第三定律用于非日心轨道

Kepler’s third law of planetary motion can be modified to the case of one object in orbit around an object other than the Sun, such as the Moon around the Earth. In this case, Kepler’s third law becomes

开普勒行星运动第三定律可以修正,用于一个天体绕太阳以外的天体运行的情形,例如月球绕地球运行。此时开普勒第三定律变为

$$P^{2} = \frac{4\pi^{2}a^{3}}{G\left( {m + M} \right)},$$ (3.30)

$$P^{2} = \frac{4\pi^{2}a^{3}}{G\left( {m + M} \right)},$$ (3.30)

where *m* is the mass of the Moon and *M* is the mass of Earth, *a* represents the length of the major axis of the elliptical orbit, and *P* represents the period.

其中 *m* 是月球的质量,*M* 是地球的质量,*a* 表示椭圆轨道长轴的长度,*P* 表示周期。

Given that the mass of the Moon is $7.35\ \times \ 10^{22}\ \text{kg,}$ the mass of Earth is $5.97\ \times \ 10^{24}\ \text{kg,}$ $G = 6.67\ \times \ 10^{-11}{\text{m}^{3}\text{/}{\text{kg} \cdot \text{sec}^{2}}},$ and the period of the moon is 27.3 days, let’s find the length of the major axis of the orbit of the Moon around Earth.

已知月球质量为 $7.35\ \times \ 10^{22}\ \text{kg,}$ 地球质量为 $5.97\ \times \ 10^{24}\ \text{kg,}$ $G = 6.67\ \times \ 10^{-11}{\text{m}^{3}\text{/}{\text{kg} \cdot \text{sec}^{2}}},$ 月球的周期为 27.3 天,求月球绕地球轨道长轴的长度。

Solution

It is important to be consistent with units. Since the universal gravitational constant contains seconds in the units, we need to use seconds for the period of the Moon as well:

单位必须保持一致。由于万有引力常数的单位中含有秒,月球的周期也要用秒来表示:

$$27.3\ \text{days}\ \times \ \frac{24\ \text{hr}}{1\ \text{day}}\ \times \ \frac{3600\mspace{2mu}\text{sec}}{1\mspace{2mu}\text{hour}} = 2,358,720\mspace{2mu}\text{sec}\text{.}$$

$$27.3\ \text{days}\ \times \ \frac{24\ \text{hr}}{1\ \text{day}}\ \times \ \frac{3600\mspace{2mu}\text{sec}}{1\mspace{2mu}\text{hour}} = 2,358,720\mspace{2mu}\text{sec}\text{.}$$

Substitute all the data into Equation 3.30 and solve for *a:*

把全部数据代入式 3.30,解出 *a*:

$$\begin{array}{cll}

$$\begin{array}{cll}

\left( {2,358,720\mspace{2mu}\text{sec}} \right)^{2} & = & \frac{4\pi^{2}a^{3}}{\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\frac{\text{m}^{3}}{\text{kg} \cdot \mspace{2mu}\text{sec}^{2}}} \right)\left( {7.35\ x\ 10^{22}\text{kg} + 5.97\ x\ 10^{24}\text{kg}} \right)} \\

\left( {2,358,720\mspace{2mu}\text{sec}} \right)^{2} & = & \frac{4\pi^{2}a^{3}}{\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\frac{\text{m}^{3}}{\text{kg} \cdot \mspace{2mu}\text{sec}^{2}}} \right)\left( {7.35\ x\ 10^{22}\text{kg} + 5.97\ x\ 10^{24}\text{kg}} \right)} \\

{5.563\ \times \ 10^{12}} & = & \frac{4\pi^{2}a^{3}}{\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\text{m}^{3}} \right)\left( {6.04\ x\ 10^{24}} \right)} \\

{5.563\ \times \ 10^{12}} & = & \frac{4\pi^{2}a^{3}}{\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\text{m}^{3}} \right)\left( {6.04\ x\ 10^{24}} \right)} \\

{\left( {5.563\ \times \ 10^{12}} \right)\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\text{m}^{3}} \right)\left( {6.04\ \times \ 10^{24}} \right)} & = & {4\pi^{2}a^{3}} \\

{\left( {5.563\ \times \ 10^{12}} \right)\left( {6.67\ \times \ 10^{-11}\mspace{2mu}\text{m}^{3}} \right)\left( {6.04\ \times \ 10^{24}} \right)} & = & {4\pi^{2}a^{3}} \\

a^{3} & = & {\frac{2.241\ \times \ 10^{27}}{4\pi^{2}}\text{m}^{3}} \\

a^{3} & = & {\frac{2.241\ \times \ 10^{27}}{4\pi^{2}}\text{m}^{3}} \\

a & = & {3.84\ \times \ 10^{8}\text{m}} \\

a & = & {3.84\ \times \ 10^{8}\text{m}} \\

& \approx & {384,000\ \text{km.}}

& \approx & {384,000\ \text{km.}}

\end{array}$$

\end{array}$$

Analysis 分析

According to solarsystem.nasa.gov, the actual average distance from the Moon to Earth is 384,400 km. This is calculated using reflectors left on the Moon by Apollo astronauts back in the 1960s.

据 solarsystem.nasa.gov,月球到地球的实际平均距离为 384,400 km。这一数值是利用 20 世纪 60 年代阿波罗宇航员留在月面上的反射器测得的。

Titan is the largest moon of Saturn. The mass of Titan is approximately $1.35\ \times \ 10^{23}$ kg. The mass of Saturn is approximately $5.68\ \times \ 10^{26}$ kg. Titan takes approximately 16 days to orbit Saturn. Use this information, along with the universal gravitation constant $G = 6.67\ \times \ 10^{-11}{\text{m}^{3}\text{/}{\text{kg} \cdot \text{sec}^{2}}}$ to estimate the distance from Titan to Saturn.

土卫六(Titan)是土星最大的卫星。土卫六的质量约为 $1.35\ \times \ 10^{23}$ kg,土星的质量约为 $5.68\ \times \ 10^{26}$ kg。土卫六绕土星运行一周约需 16 天。利用这些数据以及万有引力常数 $G = 6.67\ \times \ 10^{-11}{\text{m}^{3}\text{/}{\text{kg} \cdot \text{sec}^{2}}}$,估计土卫六到土星的距离。

Chapter Opener: Halley’s Comet 章首引例:哈雷彗星

We now return to the chapter opener, which discusses the motion of Halley’s comet around the Sun. Kepler’s first law states that Halley’s comet follows an elliptical path around the Sun, with the Sun as one focus of the ellipse. The period of Halley’s comet is approximately 76.1 years, depending on how closely it passes by Jupiter and Saturn as it passes through the outer solar system. Let’s use $T = 76.1$ years. What is the average distance of Halley’s comet from the Sun?

现在回到本章开篇讨论的哈雷彗星绕太阳的运动。开普勒第一定律指出,哈雷彗星沿椭圆轨道绕太阳运行,太阳位于该椭圆的一个焦点上。哈雷彗星的周期约为 76.1 年,具体取决于它穿越外太阳系时与木星、土星的接近程度。这里取 $T = 76.1$ 年。哈雷彗星到太阳的平均距离是多少?

Solution

Using the equation $T^{2} = D^{3}$ with $T = 76.1,$ we obtain $D^{3} = 5791.21,$ so $D \approx 17.96$ A.U. This comes out to approximately $1.67\ \times \ 10^{9}$ mi.

在方程 $T^{2} = D^{3}$ 中取 $T = 76.1,$ 得 $D^{3} = 5791.21,$ 故 $D \approx 17.96$ A.U.,约合 $1.67\ \times \ 10^{9}$ mi。

A natural question to ask is: What are the maximum (aphelion) and minimum (perihelion) distances from Halley’s Comet to the Sun? The eccentricity of the orbit of Halley’s Comet is 0.967 (Source: nssdc.gsfc.nasa.gov/planetary/factsheet/cometfact.html). Recall that the formula for the eccentricity of an ellipse is $e = {c\text{/}a},$ where *a* is the length of the semimajor axis and *c* is the distance from the center to either focus. Therefore, $0.967 = {c\text{/}17.96}$ and $c \approx 17.37$ A.U. Subtracting this from *a* gives the perihelion distance $p = a - c = 17.96 - 17.37 = 0.59$ A.U. According to the National Space Science Data Center (Source: nssdc.gsfc.nasa.gov/planetary/factsheet/cometfact.html), the perihelion distance for Halley’s comet is 0.587 A.U. To calculate the aphelion distance, we add

自然要问:哈雷彗星到太阳的最大距离(远日点)与最小距离(近日点)各是多少?哈雷彗星轨道的偏心率为 0.967(来源:nssdc.gsfc.nasa.gov/planetary/factsheet/cometfact.html)。椭圆偏心率的公式为 $e = {c\text{/}a},$ 其中 *a* 是半长轴的长度,*c* 是中心到任一焦点的距离。于是 $0.967 = {c\text{/}17.96}$,$c \approx 17.37$ A.U.。从 *a* 中减去它,得近日点距离 $p = a - c = 17.96 - 17.37 = 0.59$ A.U.。据美国国家空间科学数据中心(来源:nssdc.gsfc.nasa.gov/planetary/factsheet/cometfact.html),哈雷彗星的近日点距离为 0.587 A.U.。要算远日点距离,则相加

$$P = a + c = 17.96 + 17.37 = 35.33\ \text{A}\text{.U}\text{.}$$

$$P = a + c = 17.96 + 17.37 = 35.33\ \text{A}\text{.U}\text{.}$$

This is approximately $3.3\ \times \ 10^{9}$ mi. The average distance from Pluto to the Sun is 39.5 A.U. (Source: www.oarval.org/furthest.htm), so it would appear that Halley’s Comet stays just within the orbit of Pluto.

这约为 $3.3\ \times \ 10^{9}$ mi。冥王星到太阳的平均距离为 39.5 A.U.(来源:www.oarval.org/furthest.htm),因此看来哈雷彗星恰好停留在冥王星轨道以内。

Navigating a Banked Turn 通过倾斜弯道

How fast can a racecar travel through a circular turn without skidding and hitting the wall? The answer could depend on several factors:

赛车能以多快的速率通过圆弧弯道而不打滑撞墙?答案可能取决于若干因素:

In this project we investigate this question for NASCAR racecars at the Bristol Motor Speedway in Tennessee. Before considering this track in particular, we use vector functions to develop the mathematics and physics necessary for answering questions such as this.

本项目针对田纳西州布里斯托尔赛道(Bristol Motor Speedway)上的 NASCAR 赛车研究这一问题。在具体讨论该赛道之前,先用向量函数建立回答此类问题所需的数学与物理。

A car of mass *m* moves with constant angular speed $\omega$ around a circular curve of radius *R* (Figure 3.20). The curve is banked at an angle $\theta.$ If the height of the car off the ground is *h*, then the position of the car at time *t* is given by the function $r(t) = \left\langle {R\mspace{2mu}\text{cos}\left( {\omega t} \right),R\mspace{2mu}\text{sin}\left( {\omega t} \right),h} \right\rangle.$

一辆质量为 *m* 的汽车以恒定角速度 $\omega$ 沿半径为 *R* 的圆弧弯道行驶(图 3.20)。弯道的倾角为 $\theta.$ 若汽车离地高度为 *h*,则时刻 *t* 汽车的位置由函数 $r(t) = \left\langle {R\mspace{2mu}\text{cos}\left( {\omega t} \right),R\mspace{2mu}\text{sin}\left( {\omega t} \right),h} \right\rangle.$ 给出。

1. Find the velocity function $\mathbf{\text{v}}(t)$ of the car. Show that v is tangent to the circular curve. This means that, without a force to keep the car on the curve, the car will shoot off of it.

1. 求该车的速度函数 $\mathbf{\text{v}}(t)$。证明 v 与该圆弧弯道相切。这意味着若没有把车约束在弯道上的力,车就会沿切线方向飞出。

2. Show that the speed of the car is $\omega R.$ Use this to show that ${\left( {2\pi r} \right)\text{/}{\left| \mathbf{\text{v}} \right| =}}{\left( {2\pi} \right)\text{/}\omega}.$

2. 证明该车的速率为 $\omega R.$ 并由此证明 ${\left( {2\pi r} \right)\text{/}{\left| \mathbf{\text{v}} \right| =}}{\left( {2\pi} \right)\text{/}\omega}.$

3. Find the acceleration a. Show that this vector points toward the center of the circle and that $\left| \mathbf{\text{a}} \right| = R\omega^{2}.$

3. 求加速度 a。证明该向量指向圆心,且 $\left| \mathbf{\text{a}} \right| = R\omega^{2}.$

4. The force required to produce this circular motion is called the *centripetal force*, and it is denoted Fcent. This force points toward the center of the circle (not toward the ground). Show that $\left| \mathbf{\text{F}}_{\text{cent}} \right| = {\left( {m\left| \mathbf{\text{v}} \right|^{2}} \right)\text{/}R}.$

4. 产生这一圆周运动所需的力称为*向心力*,记作 Fcent。该力指向圆心(而不是指向地面)。证明 $\left| \mathbf{\text{F}}_{\text{cent}} \right| = {\left( {m\left| \mathbf{\text{v}} \right|^{2}} \right)\text{/}R}.$

As the car moves around the curve, three forces act on it: gravity, the force exerted by the road (this force is perpendicular to the ground), and the friction force (Figure 3.21). Because describing the frictional force generated by the tires and the road is complex, we use a standard approximation for the frictional force. Assume that $\left| \mathbf{\text{f}} \middle| = \mu \middle| \mathbf{\text{N}} \right|$ for some positive constant $\mu.$ The constant $\mu$ is called the *coefficient of friction*.

汽车沿弯道行驶时受到三个力:重力、路面施加的力(该力垂直于地面)以及摩擦力(图 3.21)。轮胎与路面之间的摩擦力描述起来相当复杂,这里对摩擦力采用一个标准近似:设对某个正常数 $\mu.$ 有 $\left| \mathbf{\text{f}} \middle| = \mu \middle| \mathbf{\text{N}} \right|$。常数 $\mu$ 称为*摩擦系数*。

Let $v_{\text{max}}$ denote the maximum speed the car can attain through the curve without skidding. In other words, $v_{\text{max}}$ is the fastest speed at which the car can navigate the turn. When the car is traveling at this speed, the magnitude of the centripetal force is

记 $v_{\text{max}}$ 为该车不打滑通过弯道所能达到的最大速率,即该车通过此弯道的最快速率。当车以这一速率行驶时,向心力的大小为

$$\left| \mathbf{\text{F}}_{\text{cent}} \right| = \frac{mv_{\text{max}}^{2}}{R}.$$

$$\left| \mathbf{\text{F}}_{\text{cent}} \right| = \frac{mv_{\text{max}}^{2}}{R}.$$

The next three questions deal with developing a formula that relates the speed $v_{\text{max}}$ to the banking angle $\theta.$

接下来三问要建立速率 $v_{\text{max}}$ 与倾斜角 $\theta.$ 之间的关系式。

5. Show that $\left| \mathbf{\text{N}} \middle| \mspace{2mu}\text{cos}\mspace{2mu}\theta = mg + \middle| \mathbf{\text{f}} \middle| \mspace{2mu}\text{sin}\mspace{2mu}\theta. \right.$ Conclude that $\left| \mathbf{\text{N}} \middle| = {\left( {mg} \right)\text{/}{\left( {\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta} \right).}} \right.$

5. 证明 $\left| \mathbf{\text{N}} \middle| \mspace{2mu}\text{cos}\mspace{2mu}\theta = mg + \middle| \mathbf{\text{f}} \middle| \mspace{2mu}\text{sin}\mspace{2mu}\theta. \right.$ 并由此推出 $\left| \mathbf{\text{N}} \middle| = {\left( {mg} \right)\text{/}{\left( {\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta} \right).}} \right.$

6. The centripetal force is the sum of the forces in the horizontal direction, since the centripetal force points toward the center of the circular curve. Show that

6. 向心力指向圆弧弯道的圆心,因此它是水平方向上各力之和。证明

$$\left| \mathbf{\text{F}}_{\text{cent}|} = \middle| \mathbf{\text{N}} \middle| \mspace{2mu}\text{sin}\mspace{2mu}\theta + \middle| \mathbf{\text{f}} \middle| \mspace{2mu}\text{cos}\mspace{2mu}\theta. \right.$$

$$\left| \mathbf{\text{F}}_{\text{cent}|} = \middle| \mathbf{\text{N}} \middle| \mspace{2mu}\text{sin}\mspace{2mu}\theta + \middle| \mathbf{\text{f}} \middle| \mspace{2mu}\text{cos}\mspace{2mu}\theta. \right.$$

Conclude that

并由此推出

$$|\mathbf{\text{F}}_{\text{cent}|} = \frac{\text{sin}\mspace{2mu}\theta + \mu\mspace{2mu}\text{cos}\mspace{2mu}\theta}{\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta}mg.$$

$$|\mathbf{\text{F}}_{\text{cent}|} = \frac{\text{sin}\mspace{2mu}\theta + \mu\mspace{2mu}\text{cos}\mspace{2mu}\theta}{\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta}mg.$$

7. Show that $\text{v}_{\text{max}}^{2} = \left( {\left( {\text{sin}\mspace{2mu}\theta + \mu\mspace{2mu}\text{cos}\mspace{2mu}\theta} \right)\text{/}\left( {\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta} \right)} \right)gR.$ Conclude that the maximum speed does not actually depend on the mass of the car.

7. 证明 $\text{v}_{\text{max}}^{2} = \left( {\left( {\text{sin}\mspace{2mu}\theta + \mu\mspace{2mu}\text{cos}\mspace{2mu}\theta} \right)\text{/}\left( {\text{cos}\mspace{2mu}\theta - \mu\mspace{2mu}\text{sin}\mspace{2mu}\theta} \right)} \right)gR.$ 并由此推出最大速率实际上与汽车的质量无关。

Now that we have a formula relating the maximum speed of the car and the banking angle, we are in a position to answer the questions like the one posed at the beginning of the project.

有了联系汽车最大速率与倾斜角的公式,就可以回答本项目开头提出的那类问题。

The Bristol Motor Speedway is a NASCAR short track in Bristol, Tennessee. The track has the approximate shape shown in Figure 3.22. Each end of the track is approximately semicircular, so when cars make turns they are traveling along an approximately circular curve. If a car takes the inside track and speeds along the bottom of turn 1, the car travels along a semicircle of radius approximately 211 ft with a banking angle of 24°. If the car decides to take the outside track and speeds along the top of turn 1, then the car travels along a semicircle with a banking angle of 28°. (The track has variable angle banking.)

布里斯托尔赛道是位于田纳西州布里斯托尔的一条 NASCAR 短赛道,其大致形状如图 3.22 所示。赛道两端近似为半圆形,因此赛车转弯时沿一段近似的圆弧行驶。若赛车走内圈、沿 1 号弯的底部疾驶,则它沿半径约 211 ft、倾斜角为 24° 的半圆行驶;若赛车走外圈、沿 1 号弯的顶部疾驶,则沿倾斜角为 28° 的半圆行驶。(该赛道的倾斜角是变化的。)

The coefficient of friction for a normal tire in dry conditions is approximately 0.7. Therefore, we assume the coefficient for a NASCAR tire in dry conditions is approximately 0.98.

普通轮胎在干燥条件下的摩擦系数约为 0.7。据此假定 NASCAR 轮胎在干燥条件下的系数约为 0.98。

Before answering the following questions, note that it is easier to do computations in terms of feet and seconds, and then convert the answers to miles per hour as a final step.

回答下列问题之前请注意:以英尺和秒为单位计算更方便,最后一步再把结果换算为英里每小时。

8. In dry conditions, how fast can the car travel through the bottom of the turn without skidding?

8. 在干燥条件下,赛车沿弯道底部行驶而不打滑的最大速率是多少?

9. In dry conditions, how fast can the car travel through the top of the turn without skidding?

9. 在干燥条件下,赛车沿弯道顶部行驶而不打滑的最大速率是多少?

10. In wet conditions, the coefficient of friction can become as low as 0.1. If this is the case, how fast can the car travel through the bottom of the turn without skidding?

10. 在潮湿条件下,摩擦系数可低至 0.1。此时赛车沿弯道底部行驶而不打滑的最大速率是多少?

11. Suppose the measured speed of a car going along the outside edge of the turn is 105 mph. Estimate the coefficient of friction for the car’s tires.

11. 设测得一辆赛车沿弯道外沿行驶的速率为 105 mph。估计该车轮胎的摩擦系数。

Section 3.4 Exercises 3.4 节习题

155.

155.

Given $\mathbf{\text{r}}(t) = (3t^{2} - 2)\mathbf{\text{i}} + (2t - \text{sin}(t))\mathbf{\text{j}},$ find the velocity of a particle moving along this curve.

给定 $\mathbf{\text{r}}(t) = (3t^{2} - 2)\mathbf{\text{i}} + (2t - \text{sin}(t))\mathbf{\text{j}},$ 求沿此曲线运动的质点的速度。

156\.

156.

Given $\mathbf{\text{r}}(t) = (3t^{2} - 2)\mathbf{\text{i}} + (2t - \text{sin}(t))\mathbf{\text{j}},$ find the acceleration vector of a particle moving along the curve in the preceding exercise.

给定 $\mathbf{\text{r}}(t) = (3t^{2} - 2)\mathbf{\text{i}} + (2t - \text{sin}(t))\mathbf{\text{j}},$ 求上题中沿该曲线运动的质点的加速度向量。

Given the following position functions, find the velocity, acceleration, and speed in terms of the parameter *t*.

给定下列位置函数,求关于参数 *t* 的速度、加速度与速率。

157.

157.

$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t,t^{2}} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {3\mspace{2mu}\text{cos}\mspace{2mu} t,3\mspace{2mu}\text{sin}\mspace{2mu} t,t^{2}} \right\rangle$

158\.

158.

$\mathbf{\text{r}}(t) = e^{\text{−}t}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = e^{\text{−}t}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + \text{tan}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$

159.

159.

$\mathbf{\text{r}}(t) = 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}.$

$\mathbf{\text{r}}(t) = 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{j}} + 3\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}.$

Find the velocity, acceleration, and speed of a particle with the given position function.

求给定位置函数的质点的速度、加速度与速率。

160\.

160.

$\mathbf{\text{r}}(t) = \left\langle {t^{2} - 1,t} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {t^{2} - 1,t} \right\rangle$

161.

161.

$\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t}} \right\rangle$. The graph is shown here:

$\mathbf{\text{r}}(t) = \left\langle {e^{t},e^{\text{−}t}} \right\rangle$。图如下:

162\.

162.

$\mathbf{\text{r}}(t) = \left\langle {\text{sin}\mspace{2mu} t,t,\text{cos}\mspace{2mu} t} \right\rangle.$

$\mathbf{\text{r}}(t) = \left\langle {\text{sin}\mspace{2mu} t,t,\text{cos}\mspace{2mu} t} \right\rangle.$

163.

163.

The position function of an object is given by $\mathbf{\text{r}}(t) = \left\langle {t^{2},5t,t^{2} - 16t} \right\rangle.$ At what time is the speed a minimum?

一物体的位置函数由 $\mathbf{\text{r}}(t) = \left\langle {t^{2},5t,t^{2} - 16t} \right\rangle$ 给出。何时速率取最小值?

164\.

164.

Let $\mathbf{\text{r}}(t) = r\mspace{2mu}\text{cosh}(\omega t)\mathbf{\text{i}} + r\mspace{2mu}\text{sinh}(\omega t)\mathbf{\text{j}}.$ Find the velocity and acceleration vectors and show that the acceleration is proportional to $\mathbf{\text{r}}(t).$

设 $\mathbf{\text{r}}(t) = r\mspace{2mu}\text{cosh}(\omega t)\mathbf{\text{i}} + r\mspace{2mu}\text{sinh}(\omega t)\mathbf{\text{j}}.$ 求速度与加速度向量,并证明加速度与 $\mathbf{\text{r}}(t)$ 成比例。

Consider the motion of a point on the circumference of a rolling circle. As the circle rolls, it generates the cycloid $\mathbf{\text{r}}(t) = \left( {\omega t - \text{sin}(\omega t)} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {1 - \text{cos}(\omega t)} \right)\mspace{2mu}\mathbf{\text{j}},$ where $\omega$ is the angular velocity of the circle:

考虑滚动圆周上一点的运动。当圆滚动时,该点描绘出摆线 $\mathbf{\text{r}}(t) = \left( {\omega t - \text{sin}(\omega t)} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {1 - \text{cos}(\omega t)} \right)\mspace{2mu}\mathbf{\text{j}},$ 其中 $\omega$ 为圆的角速度:

165.

165.

Find the equations for the velocity, acceleration, and speed of the particle at any time.

求该质点在任意时刻的速度、加速度与速率的表达式。

A person on a hang glider is spiraling upward as a result of the rapidly rising air on a path having position vector $\mathbf{\text{r}}(t) = (3\mspace{2mu}\text{cos}\mspace{2mu} t)\mathbf{\text{i}} + (3\mspace{2mu}\text{sin}\mspace{2mu} t)\mathbf{\text{j}} + t^{2}\mathbf{\text{k}}.$ The path is similar to that of a helix, although it is not a helix. The graph is shown here:

一名悬挂滑翔者因快速上升的气流而沿位置向量为 $\mathbf{\text{r}}(t) = (3\mspace{2mu}\text{cos}\mspace{2mu} t)\mathbf{\text{i}} + (3\mspace{2mu}\text{sin}\mspace{2mu} t)\mathbf{\text{j}} + t^{2}\mathbf{\text{k}}$ 的路径螺旋上升。该路径类似于螺旋线,但并非螺旋线。图如下:

Find the following quantities:

求下列量:

166\.

166.

The velocity and acceleration vectors

速度与加速度向量

167.

167.

The glider’s speed at any time

滑翔者在任意时刻的速率

168\.

168.

The times, if any, at which the glider’s acceleration is orthogonal to its velocity

滑翔者的加速度与其速度正交的时刻(若存在)

Given that $\mathbf{\text{r}}(t) = \left\langle {e^{-5t}\text{sin}\mspace{2mu} t,e^{-5t}\text{cos}\mspace{2mu} t,4e^{-5t}} \right\rangle$ is the position vector of a moving particle, find the following quantities:

已知 $\mathbf{\text{r}}(t) = \left\langle {e^{-5t}\text{sin}\mspace{2mu} t,e^{-5t}\text{cos}\mspace{2mu} t,4e^{-5t}} \right\rangle$ 是一运动质点的位置向量,求下列量:

169.

169.

The velocity of the particle

质点的速度

170\.

170.

The speed of the particle

质点的速率

171.

171.

The acceleration of the particle

质点的加速度

172\.

172.

Find the maximum speed of a point on the circumference of an automobile tire of radius 1 ft when the automobile is traveling at 55 mph.

当汽车以 55 mph 行驶时,求其半径为 1 ft 的轮胎圆周上一点的最大速率。

A projectile is shot in the air from ground level with an initial velocity of 500 m/sec at an angle of 60° with the horizontal. The graph is shown here:

一抛体从地面以 500 m/s 的初速度、与水平方向成 60° 角射入空中。图如下:

173.

173.

At what time does the projectile reach maximum height?

抛体在何时达到最大高度?

174\.

174.

What is the approximate maximum height of the projectile?

抛体的近似最大高度是多少?

175.

175.

At what time is the maximum range of the projectile attained?

抛体在何时达到最大射程?

176\.

176.

What is the maximum range?

最大射程是多少?

177.

177.

What is the total flight time of the projectile?

抛体的总飞行时间是多少?

A projectile is fired at a height of 1.5 m above the ground with an initial velocity of 100 m/sec and at an angle of 30° above the horizontal. Use this information to answer the following questions:

一抛体在距地面 1.5 m 高处、以 100 m/s 的初速度、与水平方向成 30° 角向上发射。利用这些信息回答下列问题:

178\.

178.

Determine the maximum height of the projectile.

确定抛体的最大高度。

179.

179.

Determine the range of the projectile.

确定抛体的射程。

180\.

180.

A golf ball is hit in a horizontal direction off the top edge of a building that is 100 ft tall. How fast must the ball be launched to land 450 ft away?

一个高尔夫球从 100 ft 高的建筑物顶边水平击出。球必须以多大速度发射才能落在 450 ft 之外?

181.

181.

A projectile is fired from ground level at an angle of 8° with the horizontal. The projectile is to have a range of 50 m. Find the minimum velocity necessary to achieve this range.

一抛体从地面以与水平方向成 8° 角发射,要求射程为 50 m。求达到该射程所需的最小速度。

182\.

182.

Prove that an object moving in a straight line at a constant speed has an acceleration of zero.

证明:沿直线以恒定速率运动的物体加速度为零。

183.

183.

The acceleration of an object is given by $\mathbf{\text{a}}(t) = t\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}.$ The velocity at $t = 1$ sec is $\mathbf{\text{v}}(1) = 5\mathbf{\text{j}}$ and the position of the object at $t = 1$ sec is $\mathbf{\text{r}}(1) = 0\mathbf{\text{i}} + 0\mathbf{\text{j}} + 0\mathbf{\text{k}}.$ Find the object’s position at any time.

一物体的加速度由 $\mathbf{\text{a}}(t) = t\mspace{2mu}\mathbf{\text{j}} + t\mspace{2mu}\mathbf{\text{k}}$ 给出。在 $t = 1$ 秒时速度为 $\mathbf{\text{v}}(1) = 5\mathbf{\text{j}}$,位置为 $\mathbf{\text{r}}(1) = 0\mathbf{\text{i}} + 0\mathbf{\text{j}} + 0\mathbf{\text{k}}。$ 求该物体在任意时刻的位置。

184\.

184.

Find $\mathbf{\text{r}}(t)$ given that $\mathbf{\text{a}}(t) = -32\mathbf{\text{j}},$ $\mathbf{\text{v}}(0) = 600\sqrt{3}\mathbf{\text{i}} + 600\mathbf{\text{j}},$ and $\mathbf{\text{r}}(0) = \mathbf{0}.$

求 $\mathbf{\text{r}}(t)$,已知 $\mathbf{\text{a}}(t) = -32\mathbf{\text{j}},$ $\mathbf{\text{v}}(0) = 600\sqrt{3}\mathbf{\text{i}} + 600\mathbf{\text{j}},$ 且 $\mathbf{\text{r}}(0) = \mathbf{0}。$

185.

185.

Find the tangential and normal components of acceleration for $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + a\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}}$ at $t = 0.$

求 $\mathbf{\text{r}}(t) = a\mspace{2mu}\text{cos}(\omega t)\mathbf{\text{i}} + a\mspace{2mu}\text{sin}(\omega t)\mathbf{\text{j}}$ 在 $t = 0$ 处的加速度的切向分量与法向分量。

186\.

186.

Given $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + 2t\mspace{2mu}\mathbf{\text{j}}$ and $t = 1,$ find the tangential and normal components of acceleration.

给定 $\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + 2t\mspace{2mu}\mathbf{\text{j}}$ 及 $t = 1,$ 求加速度的切向分量与法向分量。

For each of the following problems, find the tangential and normal components of acceleration.

对下列各题,求加速度的切向分量与法向分量。

187.

187.

$\mathbf{\text{r}}(t) = \left\langle {e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t,e^{t}} \right\rangle.$ The graph is shown here:

$\mathbf{\text{r}}(t) = \left\langle {e^{t}\text{cos}\mspace{2mu} t,e^{t}\text{sin}\mspace{2mu} t,e^{t}} \right\rangle.$ 图如下:

188\.

188.

$\mathbf{\text{r}}(t) = \left\langle {\text{cos}(2t),\text{sin}(2t),1} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {\text{cos}(2t),\text{sin}(2t),1} \right\rangle$

189.

189.

$\mathbf{\text{r}}(t) = \left\langle {2t,t^{2},\frac{t^{3}}{3}} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {2t,t^{2},\frac{t^{3}}{3}} \right\rangle$

190\.

190.

$\mathbf{\text{r}}(t) = \left\langle {\frac{2}{3}\left( {1 + t} \right)^{3\text{/}2},\frac{2}{3}\left( {1 - t} \right)^{3\text{/}2},\sqrt{2}t} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {\frac{2}{3}\left( {1 + t} \right)^{3\text{/}2},\frac{2}{3}\left( {1 - t} \right)^{3\text{/}2},\sqrt{2}t} \right\rangle$

191.

191.

$\mathbf{\text{r}}(t) = \left\langle {6t,3t^{2},2t^{3}} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {6t,3t^{2},2t^{3}} \right\rangle$

192\.

192.

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + t^{3}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = t^{2}\mathbf{\text{i}} + t^{2}\mathbf{\text{j}} + t^{3}\mathbf{\text{k}}$

193.

193.

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\left( {2\pi t} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( {2\pi t} \right)\mspace{2mu}\mathbf{\text{j}}$

$\mathbf{\text{r}}(t) = 3\mspace{2mu}\text{cos}\left( {2\pi t} \right)\mspace{2mu}\mathbf{\text{i}} + 3\mspace{2mu}\text{sin}\left( {2\pi t} \right)\mspace{2mu}\mathbf{\text{j}}$

194\.

194.

Find the position vector-valued function $\mathbf{\text{r}}(t),$ given that $\mathbf{\text{a}}(t) = \mathbf{\text{i}} + e^{t}\mathbf{\text{j}},$ $\mathbf{\text{v}}(0) = 2\mathbf{\text{j}},$ and $\mathbf{\text{r}}(0) = 2\mathbf{\text{i}}.$

求位置向量值函数 $\mathbf{\text{r}}(t),$ 已知 $\mathbf{\text{a}}(t) = \mathbf{\text{i}} + e^{t}\mathbf{\text{j}},$ $\mathbf{\text{v}}(0) = 2\mathbf{\text{j}},$ 且 $\mathbf{\text{r}}(0) = 2\mathbf{\text{i}}。$

195.

195.

The force on a particle is given by $\mathbf{\text{f}}(t) = \left( {\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}}.$ The particle is located at point $(c,0)$ at $t = 0.$ The initial velocity of the particle is given by $\mathbf{\text{v}}(0) = v_{0}\mathbf{\text{j}}.$ Find the path of the particle of mass m. (Recall, $\mathbf{\text{F}} = m \cdot \mathbf{\text{a}}.)$

作用在质点上的力由 $\mathbf{\text{f}}(t) = \left( {\text{cos}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{i}} + \left( {\text{sin}\mspace{2mu} t} \right)\mspace{2mu}\mathbf{\text{j}}$ 给出。该质点在 $t = 0$ 时位于点 $(c,0)$。质点的初速度为 $\mathbf{\text{v}}(0) = v_{0}\mathbf{\text{j}}。$ 求质量为 m 的质点的运动路径。(回顾,$\mathbf{\text{F}} = m \cdot \mathbf{\text{a}}。$)

196\.

196.

An automobile that weighs 2700 lb makes a turn on a flat road while traveling at 56 ft/sec. If the radius of the turn is 70 ft, what is the required frictional force to keep the car from skidding?

一辆重 2700 lb 的汽车在以 56 ft/s 行驶时于平坦路面上转弯。若转弯半径为 70 ft,求使汽车不打滑所需的摩擦力。

197.

197.

Using Kepler’s laws, it can be shown that $v_{0} = \sqrt{\frac{2GM}{r_{0}}}$ is the minimum speed needed when $\theta = 0$ so that an object will escape from the pull of a central force resulting from mass *M*. Use this result to find the minimum speed when $\theta = 0$ for a space capsule to escape from the gravitational pull of Earth if the probe is at an altitude of 300 km above Earth’s surface.

利用开普勒定律可证,当 $\theta = 0$ 时,使物体在质量为 *M* 的中心力吸引下逃逸所需的最小速度为 $v_{0} = \sqrt{\frac{2GM}{r_{0}}}$。利用此结果,求当探测器位于地表上方 300 km 高度时,空间探测器在 $\theta = 0$ 处逃逸地球引力所需的最小速度。

198\.

198.

Find the time in years it takes the dwarf planet Pluto to make one orbit about the Sun given that $a = 39.5$ A.U.

已知 $a = 39.5$ A.U.,求矮行星冥王星绕太阳公转一周所需的年数。

Suppose that the position function for an object in three dimensions is given by the equation $\mathbf{\text{r}}(t) = t\mspace{2mu}\text{cos}(t)\mathbf{\text{i}} + t\mspace{2mu}\text{sin}(t)\mathbf{\text{j}} + 3t\mspace{2mu}\mathbf{\text{k}}.$

设一个三维物体的位置函数由方程 $\mathbf{\text{r}}(t) = t\mspace{2mu}\text{cos}(t)\mathbf{\text{i}} + t\mspace{2mu}\text{sin}(t)\mathbf{\text{j}} + 3t\mspace{2mu}\mathbf{\text{k}}$ 给出。

199.

199.

Show that the particle moves on a circular cone.

证明该质点在圆锥面上运动。

200\.

200.

Find the angle between the velocity and acceleration vectors when $t = 1.5.$

求当 $t = 1.5$ 时速度与加速度向量之间的夹角。

201.

201.

Find the tangential and normal components of acceleration when $t = 1.5.$

求当 $t = 1.5$ 时加速度的切向分量与法向分量。

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Key Terms 关键术语

acceleration vector

加速度向量

the second derivative of the position vector

位置向量的二阶导数

arc-length function

弧长函数

a function $s(t)$ that describes the arc length of curve *C* as a function of *t*

一个函数 $s(t)$,将曲线 *C* 的弧长表示为 *t* 的函数

arc-length parameterization

弧长参数化

a reparameterization of a vector-valued function in which the parameter is equal to the arc length

向量值函数的一种重新参数化,其中参数等于弧长

binormal vector

副法向量

a unit vector orthogonal to the unit tangent vector and the unit normal vector

与单位切向量和单位法向量都正交的单位向量

component functions

分量函数

the component functions of the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ are $f(t)$ and $g(t),$ and the component functions of the vector-valued function $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ are $f(t),$ $g(t)$ and $h(t)$

向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 的分量函数为 $f(t)$ 和 $g(t)$,而向量值函数 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 的分量函数为 $f(t)$、$g(t)$ 和 $h(t)$

curvature

曲率

the derivative of the unit tangent vector with respect to the arc-length parameter

单位切向量关于弧长参数的导数

definite integral of a vector-valued function

向量值函数的定积分

the vector obtained by calculating the definite integral of each of the component functions of a given vector-valued function, then using the results as the components of the resulting function

对给定向量值函数的每个分量函数求定积分,再将结果作为所得函数的分量而得到的向量

derivative of a vector-valued function

向量值函数的导数

the derivative of a vector-valued function $\mathbf{\text{r}}(t)$ is $\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t},$ provided the limit exists

向量值函数 $\mathbf{\text{r}}(t)$ 的导数为 $\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t},$(若该极限存在)

Frenet frame of reference

弗勒内标架(TNB 标架)

(TNB frame) a frame of reference in three-dimensional space formed by the unit tangent vector, the unit normal vector, and the binormal vector

(TNB 标架)由单位切向量、单位法向量与副法向量构成的三维空间参考标架

helix

螺旋线

a three-dimensional curve in the shape of a spiral

呈螺旋形状的三维曲线

indefinite integral of a vector-valued function

向量值函数的不定积分

a vector-valued function with a derivative that is equal to a given vector-valued function

导数等于给定向量值函数的向量值函数

Kepler’s laws of planetary motion

行星运动的开普勒定律

three laws governing the motion of planets, asteroids, and comets in orbit around the Sun

支配绕太阳运行的行星、小行星与彗星运动的三条定律

limit of a vector-valued function

向量值函数的极限

a vector-valued function $\mathbf{\text{r}}(t)$ has a limit L as *t* approaches *a* if $\underset{t\rightarrow a}{\text{lim}}\left| {\mspace{2mu}\mathbf{\text{r}}(t) - \mathbf{\text{L}}} \right| = 0$

当 *t* 趋于 *a* 时,向量值函数 $\mathbf{\text{r}}(t)$ 以 L 为极限,若 $\underset{t\rightarrow a}{\text{lim}}\left| {\mspace{2mu}\mathbf{\text{r}}(t) - \mathbf{\text{L}}} \right| = 0$

normal component of acceleration

加速度的法向分量

the coefficient of the unit normal vector N when the acceleration vector is written as a linear combination of $\mathbf{\text{T}}$ and $\mathbf{\text{N}}$

当加速度向量写成 $\mathbf{\text{T}}$ 与 $\mathbf{\text{N}}$ 的线性组合时,单位法向量 N 的系数

normal plane

法平面

a plane that is perpendicular to a curve at any point on the curve

在曲线任一点处与该曲线垂直的平面

osculating circle

曲率圆(密切圆)

a circle that is tangent to a curve *C* at a point *P* and that shares the same curvature

在曲线 *C* 上点 *P* 处与曲线相切且曲率相同的圆

osculating plane

密切平面

the plane determined by the unit tangent and the unit normal vector

由单位切向量与单位法向量所确定的平面

plane curve

平面曲线

the set of ordered pairs $\left( {f(t),g(t)} \right)$ together with their defining parametric equations $x = f(t)$ and $y = g(t)$

有序对 $\left( {f(t),g(t)} \right)$ 的集合及其定义参数方程 $x = f(t)$ 和 $y = g(t)$

principal unit normal vector

主单位法向量

a vector orthogonal to the unit tangent vector, given by the formula $\frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}$

与单位切向量正交的向量,由公式 $\frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}$ 给出

principal unit tangent vector

主单位切向量

a unit vector tangent to a curve *C*

与曲线 *C* 相切的单位向量

projectile motion

抛体运动

motion of an object with an initial velocity but no force acting on it other than gravity

物体具有初速度、且除重力外无其他力作用的运动

radius of curvature

曲率半径

the reciprocal of the curvature

曲率的倒数

reparameterization

重新参数化

an alternative parameterization of a given vector-valued function

给定向量值函数的另一种参数化

smooth

光滑的

curves where the vector-valued function $\mathbf{\text{r}}(t)$ is differentiable with a non-zero derivative

向量值函数 $\mathbf{\text{r}}(t)$ 可微且导数非零的曲线

space curve

空间曲线

the set of ordered triples $\left( {f(t),g(t),h(t)} \right)$ together with their defining parametric equations $x = f(t),$ $y = g(t)$ and $z = h(t)$

有序三元组 $\left( {f(t),g(t),h(t)} \right)$ 的集合及其定义参数方程 $x = f(t)$、$y = g(t)$ 和 $z = h(t)$

tangent vector

切向量

to $\mathbf{\text{r}}(t)$ at $t = t_{0}$ any vector v such that, when the tail of the vector is placed at point $\mathbf{\text{r}}\left( t_{0} \right)$ on the graph, vector v is tangent to curve *C*

在 $t = t_{0}$ 处,对于 $\mathbf{\text{r}}(t)$,任一向量 v 满足:当把该向量的起点置于图像上的点 $\mathbf{\text{r}}\left( t_{0} \right)$ 时,向量 v 与曲线 *C* 相切

tangential component of acceleration

加速度的切向分量

the coefficient of the unit tangent vector T when the acceleration vector is written as a linear combination of $\mathbf{\text{T}}$ and $\mathbf{\text{N}}$

当加速度向量写成 $\mathbf{\text{T}}$ 与 $\mathbf{\text{N}}$ 的线性组合时,单位切向量 T 的系数

vector parameterization

向量参数化

any representation of a plane or space curve using a vector-valued function

用向量值函数表示平面或空间曲线的任意表示法

vector-valued function

向量值函数

a function of the form $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ or $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},$ where the component functions *f, g,* and *h* are real-valued functions of the parameter *t*

形如 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}$ 或 $\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}$ 的函数,其中分量函数 *f、g* 和 *h* 是参数 *t* 的实值函数

velocity vector

速度向量

the derivative of the position vector

位置向量的导数

Key Equations 关键公式

Vector-valued function$\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}\mspace{9mu}\text{or}\mspace{9mu}\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},\ \text{or}\mspace{9mu}\mathbf{\text{r}}(t) = \left\langle {f(t),g(t)} \right\rangle\ \text{or}\mspace{9mu}\mathbf{\text{r}}(t) = \left\langle {f(t),g(t),h(t)} \right\rangle$
Limit of a vector-valued function$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}\ \text{or}\ \underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
Derivative of a vector-valued function$\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t}$
Principal unit tangent vector$\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}}$
Indefinite integral of a vector-valued function${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
Definite integral of a vector-valued function${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
Arc length of space curve$s = {\int_{a}^{b}\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {h^{\prime}(t)} \right\rbrack^{2}}}\ dt = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}dt$
Arc-length function$s(t) = {\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du\ \text{or}\ s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}$
Curvature$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ \text{or}\ \kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}\ \text{or}\ \kappa = \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}$
Principal unit normal vector$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}$
Binormal vector$\mathbf{\text{B}}(t) = \mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t)$
Velocity$\mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t)$
Acceleration$\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \mathbf{\text{r''}}(t)$
Speed$v(t) = \left\| {\mathbf{\text{v}}(t)} \right\| = \left\| {\mathbf{r^{\prime}}(t)} \right\| = \frac{ds}{dt}$
Tangential component of acceleration$a_{\mathbf{\text{T}}} = \mathbf{\text{a}} \cdot \mathbf{\text{T}} = \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|}$
Normal component of acceleration$a_{\mathbf{\text{N}}} = \mathbf{\text{a}} \cdot \mathbf{\text{N}} = \frac{\left\| {\mathbf{\text{v}}\ \times \ \mathbf{\text{a}}} \right\|}{\left\| \mathbf{\text{v}} \right\|} = \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - {a\mspace{2mu}}_{\mathbf{\text{T}}}^{2}}$
向量值函数$\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}}\mspace{9mu}\text{or}\mspace{9mu}\mathbf{\text{r}}(t) = f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}},\ \text{or}\mspace{9mu}\mathbf{\text{r}}(t) = \left\langle {f(t),g(t)} \right\rangle\ \text{or}\mspace{9mu}\mathbf{\text{r}}(t) = \left\langle {f(t),g(t),h(t)} \right\rangle$
向量值函数的极限$\underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}}\ \text{or}\ \underset{t\rightarrow a}{\text{lim}}\mspace{2mu}\mathbf{\text{r}}(t) = \left\lbrack {\underset{t\rightarrow a}{\text{lim}}f(t)} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}g(t)} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\underset{t\rightarrow a}{\text{lim}}h(t)} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
向量值函数的导数$\mathbf{r^{\prime}}(t) = \underset{\text{Δ}t\rightarrow 0}{\text{lim}}\frac{\mathbf{\text{r}}\left( {t + \text{Δ}t} \right) - \mathbf{\text{r}}(t)}{\text{Δ}t}$
主单位切向量$\mathbf{\text{T}}(t) = \frac{\mathbf{r^{\prime}}(t)}{\text{‖}{\mspace{2mu}\mathbf{r^{\prime}}(t)}\text{‖}}$
向量值函数的不定积分${\int{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
向量值函数的定积分${\int_{a}^{b}{\left\lbrack {f(t)\mspace{2mu}\mathbf{\text{i}} + g(t)\mspace{2mu}\mathbf{\text{j}} + h(t)\mspace{2mu}\mathbf{\text{k}}} \right\rbrack dt}} = \left\lbrack {\mspace{2mu}{\int_{a}^{b}{f(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{i}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{g(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{j}} + \left\lbrack {\mspace{2mu}{\int_{a}^{b}{h(t)dt}}} \right\rbrack\mspace{2mu}\mathbf{\text{k}}$
空间曲线的弧长$s = {\int_{a}^{b}\sqrt{\ \left\lbrack {f^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {g^{\prime}(t)} \right\rbrack^{2} + \left\lbrack {h^{\prime}(t)} \right\rbrack^{2}}}\ dt = {\int_{a}^{b}\left\| {\mathbf{r^{\prime}}(t)} \right\|}dt$
弧长函数$s(t) = {\int_{a}^{t}\sqrt{\left( {f^{\prime}(u)} \right)^{2} + \left( {g^{\prime}(u)} \right)^{2} + \left( {h^{\prime}(u)} \right)^{2}}}du\ \text{or}\ s(t) = {\int_{a}^{t}{\left\| {\mathbf{r^{\prime}}(u)} \right\|\ du}}$
曲率$\kappa = \frac{\left\| {\mathbf{T^{\prime}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|}\ \text{or}\ \kappa = \frac{\left\| {\mathbf{r^{\prime}}(t)\ \times \ \mathbf{r^{''}}(t)} \right\|}{\left\| {\mathbf{r^{\prime}}(t)} \right\|^{3}}\ \text{or}\ \kappa = \frac{\left| y^{''} \right|}{\left\lbrack {1 + \left( y^{\prime} \right)^{2}} \right\rbrack^{3\text{/}2}}$
主单位法向量$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}$
副法向量$\mathbf{\text{B}}(t) = \mathbf{\text{T}}(t)\ \times \ \mathbf{\text{N}}(t)$
速度$\mathbf{\text{v}}(t) = \mathbf{r^{\prime}}(t)$
加速度$\mathbf{\text{a}}(t) = \mathbf{v^{\prime}}(t) = \mathbf{\text{r''}}(t)$
速率$v(t) = \left\| {\mathbf{\text{v}}(t)} \right\| = \left\| {\mathbf{r^{\prime}}(t)} \right\| = \frac{ds}{dt}$
加速度的切向分量$a_{\mathbf{\text{T}}} = \mathbf{\text{a}} \cdot \mathbf{\text{T}} = \frac{\mathbf{\text{v}} \cdot \mathbf{\text{a}}}{\left\| \mathbf{\text{v}} \right\|}$
加速度的法向分量$a_{\mathbf{\text{N}}} = \mathbf{\text{a}} \cdot \mathbf{\text{N}} = \frac{\left\| {\mathbf{\text{v}}\ \times \ \mathbf{\text{a}}} \right\|}{\left\| \mathbf{\text{v}} \right\|} = \sqrt{\left\| \mathbf{\text{a}} \right\|^{2} - {a\mspace{2mu}}_{\mathbf{\text{T}}}^{2}}$

Key Concepts 关键概念

3.1 Vector-Valued Functions and Space Curves 3.1 向量值函数与空间曲线

3.2 Calculus of Vector-Valued Functions 3.2 向量值函数的微积分

3.3 Arc Length and Curvature 3.3 弧长与曲率

$$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}.$$

$$\mathbf{\text{N}}(t) = \frac{\mathbf{T^{\prime}}(t)}{\left\| {\mathbf{T^{\prime}}(t)} \right\|}.$$

3.4 Motion in Space 3.4 空间中的运动

Review Exercises 复习题

*True or False*? Justify your answer with a proof or a counterexample.

*判断正误*?用证明或反例论证你的答案。

202\.

202.

A parametric equation that passes through points P and Q can be given by $\mathbf{\text{r}}(t) = \left\langle {t^{2},3t + 1,t - 2} \right\rangle,$ where $P(1,4,-1)$ and $Q(16,11,2).$

一条经过点 P 与 Q 的参数方程可表示为 $\mathbf{\text{r}}(t) = \left\langle {t^{2},3t + 1,t - 2} \right\rangle$,其中 $P(1,4,-1)$,$Q(16,11,2)$。

203.

203.

$\frac{d}{dt}\left\lbrack {\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u}}(t)} \right\rbrack = 2\mathbf{\text{u}^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t)$

$\frac{d}{dt}\left\lbrack {\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u}}(t)} \right\rbrack = 2\mathbf{\text{u}^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t)$

204\.

204.

The curvature of a circle of radius $r$ is constant everywhere. Furthermore, the curvature is equal to ${1\text{/}r}.$

半径为 $r$ 的圆的曲率处处为常数。而且,该曲率等于 ${1\text{/}r}$。

205.

205.

The speed of a particle with a position function $\mathbf{\text{r}}(t)$ is ${\left( {\mathbf{\text{r}^{\prime}}(t)} \right)\text{/}\left( \left| {\mathbf{\text{r}^{\prime}}(t)} \right| \right)}.$

具有位置函数 $\mathbf{\text{r}}(t)$ 的粒子的速率是 ${\left( {\mathbf{\text{r}^{\prime}}(t)} \right)\text{/}\left( \left| {\mathbf{\text{r}^{\prime}}(t)} \right| \right)}$。

Find the domains of the vector-valued functions.

求下列向量值函数的定义域。

206\.

206.

$\mathbf{\text{r}}(t) = \left\langle {\text{sin}(t),\text{ln}(t),\sqrt{t}} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {\text{sin}(t),\text{ln}(t),\sqrt{t}} \right\rangle$

207.

207.

$\mathbf{\text{r}}(t) = \left\langle {e^{t},\frac{1}{\sqrt{4 - t}},\text{sec}(t)} \right\rangle$

$\mathbf{\text{r}}(t) = \left\langle {e^{t},\frac{1}{\sqrt{4 - t}},\text{sec}(t)} \right\rangle$

Sketch the curves for the following vector equations. Use a calculator if needed.

绘制下列向量方程对应的曲线。如有需要可使用计算器。

208\.

208.

\[T\] $\mathbf{\text{r}}(t) = \left\langle {t^{2},t^{3}} \right\rangle$

\[T\] $\mathbf{\text{r}}(t) = \left\langle {t^{2},t^{3}} \right\rangle$

209.

209.

\[T\] $\mathbf{\text{r}}(t) = \left\langle {\text{sin}\left( {20t} \right)e^{\text{−}t},\text{cos}\left( {20t} \right)e^{\text{−}t},e^{\text{−}t}} \right\rangle$

\[T\] $\mathbf{\text{r}}(t) = \left\langle {\text{sin}\left( {20t} \right)e^{\text{−}t},\text{cos}\left( {20t} \right)e^{\text{−}t},e^{\text{−}t}} \right\rangle$

Find a vector function that describes the following curves.

求描述下列曲线的向量函数。

210\.

210.

Intersection of the cylinder $x^{2} + y^{2} = 4$ with the plane $x + z = 6$

圆柱面 $x^{2} + y^{2} = 4$ 与平面 $x + z = 6$ 的交线

211.

211.

Intersection of the cone $z = \sqrt{x^{2} + y^{2}}$ and plane $z = y - 4$

圆锥面 $z = \sqrt{x^{2} + y^{2}}$ 与平面 $z = y - 4$ 的交线

Find the derivatives of $\mathbf{\text{u}}(t),$ $\mathbf{\text{u}^{\prime}}(t),$ $\mathbf{\text{u}^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t),$ $\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u}^{\prime}}(t),$ and $\mathbf{\text{u}}(t) \cdot \mathbf{\text{u}^{\prime}}(t).$ Find the unit tangent vector.

求 $\mathbf{\text{u}}(t)$、$\mathbf{\text{u}^{\prime}}(t)$、$\mathbf{\text{u}^{\prime}}(t)\ \times \ \mathbf{\text{u}}(t)$、$\mathbf{\text{u}}(t)\ \times \ \mathbf{\text{u}^{\prime}}(t)$ 与 $\mathbf{\text{u}}(t) \cdot \mathbf{\text{u}^{\prime}}(t)$ 的导数。并求单位切向量。

212\.

212.

$\mathbf{\text{u}}(t) = \left\langle {e^{t},e^{\text{−}t}} \right\rangle$

$\mathbf{\text{u}}(t) = \left\langle {e^{t},e^{\text{−}t}} \right\rangle$

213.

213.

$\mathbf{\text{u}}(t) = \left\langle {t^{2},2t + 6,4t^{5} - 12} \right\rangle$

$\mathbf{\text{u}}(t) = \left\langle {t^{2},2t + 6,4t^{5} - 12} \right\rangle$

Evaluate the following integrals.

计算下列积分。

214\.

214.

$\int{\left( {\text{tan}(t)\text{sec}(t)\mathbf{\text{i}} - te^{3t}\mathbf{\text{j}}} \right)dt}$

$\int{\left( {\text{tan}(t)\text{sec}(t)\mathbf{\text{i}} - te^{3t}\mathbf{\text{j}}} \right)dt}$

215.

215.

${\int\limits_{1}^{4}{\mathbf{\text{u}}(t)dt}},$ with $\mathbf{\text{u}}(t) = \left\langle {\frac{\text{ln}(t)}{t},\frac{1}{\sqrt{t}},\text{sin}\left( \frac{t\pi}{4} \right)} \right\rangle$

${\int\limits_{1}^{4}{\mathbf{\text{u}}(t)dt}},$ 其中 $\mathbf{\text{u}}(t) = \left\langle {\frac{\text{ln}(t)}{t},\frac{1}{\sqrt{t}},\text{sin}\left( \frac{t\pi}{4} \right)} \right\rangle$

Find the length for the following curves.

求下列曲线的弧长。

216\.

216.

$\mathbf{\text{r}}(t) = \left\langle {3t,4\mspace{2mu}\text{cos}(t),4\mspace{2mu}\text{sin}(t)} \right\rangle$ for $1 \leq t \leq 4$

$\mathbf{\text{r}}(t) = \left\langle {3t,4\mspace{2mu}\text{cos}(t),4\mspace{2mu}\text{sin}(t)} \right\rangle$,其中 $1 \leq t \leq 4$

217.

217.

$\mathbf{\text{r}}(t) = 2\mathbf{\text{i}} + \text{t}\ \mathbf{\text{j}} + 3t^{2}\mathbf{\text{k}}$ for $0 \leq t \leq 1$

$\mathbf{\text{r}}(t) = 2\mathbf{\text{i}} + \text{t}\ \mathbf{\text{j}} + 3t^{2}\mathbf{\text{k}}$,其中 $0 \leq t \leq 1$

Reparameterize the following functions with respect to their arc length measured from $t = 0$ in direction of increasing $t.$

将下列函数关于从 $t = 0$ 起、沿 $t$ 增大方向度量的弧长重新参数化。

218\.

218.

$\mathbf{\text{r}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + (4t - 5)\mathbf{\text{j}} + (1 - 3t)\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = 2t\mspace{2mu}\mathbf{\text{i}} + (4t - 5)\mathbf{\text{j}} + (1 - 3t)\mathbf{\text{k}}$

219.

219.

$\mathbf{\text{r}}(t) = \text{cos}(2t)\mathbf{\text{i}} + 8t\mspace{2mu}\mathbf{\text{j}} - \text{sin}(2t)\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \text{cos}(2t)\mathbf{\text{i}} + 8t\mspace{2mu}\mathbf{\text{j}} - \text{sin}(2t)\mathbf{\text{k}}$

Find the curvature for the following vector functions.

求下列向量函数的曲率。

220\.

220.

$\mathbf{\text{r}}(t) = (2\mspace{2mu}\text{sin}\mspace{2mu} t)\mathbf{\text{i}} - 4t\mspace{2mu}\mathbf{\text{j}} + (2\mspace{2mu}\text{cos}\mspace{2mu} t)\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = (2\mspace{2mu}\text{sin}\mspace{2mu} t)\mathbf{\text{i}} - 4t\mspace{2mu}\mathbf{\text{j}} + (2\mspace{2mu}\text{cos}\mspace{2mu} t)\mathbf{\text{k}}$

221.

221.

$\mathbf{\text{r}}(t) = \sqrt{2}e^{t}\mathbf{\text{i}} + \sqrt{2}e^{\text{−}t}\mathbf{\text{j}} + 2t\mspace{2mu}\mathbf{\text{k}}$

$\mathbf{\text{r}}(t) = \sqrt{2}e^{t}\mathbf{\text{i}} + \sqrt{2}e^{\text{−}t}\mathbf{\text{j}} + 2t\mspace{2mu}\mathbf{\text{k}}$

222\.

222.

Find the unit tangent vector, the unit normal vector, and the binormal vector for $\mathbf{\text{r}}(t) = 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}.$

求 $\mathbf{\text{r}}(t) = 2\mspace{2mu}\text{cos}\mspace{2mu} t\mspace{2mu}\mathbf{\text{i}} + 3t\mspace{2mu}\mathbf{\text{j}} + 2\mspace{2mu}\text{sin}\mspace{2mu} t\mspace{2mu}\mathbf{\text{k}}$ 的单位切向量、单位法向量与副法向量。

223.

223.

Find the tangential and normal acceleration components with the position vector $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t,e^{t}} \right\rangle.$

求带有位置向量 $\mathbf{\text{r}}(t) = \left\langle {\text{cos}\mspace{2mu} t,\text{sin}\mspace{2mu} t,e^{t}} \right\rangle$ 的切向与法向加速度分量。

224\.

224.

A Ferris wheel car is moving at a constant speed $v$ and has a constant radius $r.$ Find the tangential and normal acceleration of the Ferris wheel car.

摩天轮车厢以恒定速率 $v$ 运动,且半径恒为 $r$。求该摩天轮车厢的切向与法向加速度。

225.

225.

The position of a particle is given by $\mathbf{\text{r}}(t) = \left\langle {t^{2},\text{ln}(t),\text{sin}\left( {\pi t} \right)} \right\rangle,$ where $t$ is measured in seconds and $\mathbf{\text{r}}$ is measured in meters. Find the velocity, acceleration, and speed functions. What are the position, velocity, speed, and acceleration of the particle at 1 sec?

一质点的位置由 $\mathbf{\text{r}}(t) = \left\langle {t^{2},\text{ln}(t),\text{sin}\left( {\pi t} \right)} \right\rangle$ 给出,其中 $t$ 的单位为秒,$\mathbf{\text{r}}$ 的单位为米。求速度、加速度与速率函数。该质点在 1 秒时的位置、速度、速率与加速度各为多少?

The following problems consider launching a cannonball out of a cannon. The cannonball is shot out of the cannon with an angle $\theta$ and initial velocity $\textbf{v}_{0}.$ The only force acting on the cannonball is gravity, so we begin with a constant acceleration $\mathbf{\text{a}}(t) = \text{−}g\mspace{2mu}\mathbf{\text{j}}.$

下列问题考虑从火炮中发射炮弹。炮弹以角度 $\theta$ 与初速度 $\textbf{v}_{0}$ 射出炮口。炮弹所受的唯一力为重力,因此我们以恒定加速度 $\mathbf{\text{a}}(t) = \text{−}g\mspace{2mu}\mathbf{\text{j}}$ 开始。

226\.

226.

Find the velocity vector function $\mathbf{\text{v}}(t).$

求速度向量函数 $\mathbf{\text{v}}(t)$。

227.

227.

Find the position vector $\mathbf{\text{r}}(t)$ and the parametric representation for the position.

求位置向量 $\mathbf{\text{r}}(t)$ 以及位置的参数表示。

228\.

228.

At what angle do you need to fire the cannonball for the horizontal distance to be greatest? What is the total distance it would travel?

应以多大角度发射炮弹才能使水平距离最大?它将飞行的总距离是多少?