定积分的应用。

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@@ -37,7 +37,7 @@
\end{corollary} \end{corollary}
\begin{corollary} \begin{corollary}
$\vert f \vert, f \in R[a,b]$,则 $\abs{f}, f \in R[a,b]$,则
\[\left| \int_a^b f(x) \dif x \right| \leq \int_a^b \vert f(x) \vert \dif x \eqper\] \[\left| \int_a^b f(x) \dif x \right| \leq \int_a^b \vert f(x) \vert \dif x \eqper\]
\end{corollary} \end{corollary}
@@ -121,18 +121,18 @@
使得 使得
\[\left|\sum_{i=1}^n f(c_i) \Delta x - A\right| < 1, c_i \in [x_{i-1}, x_i]\text{任取}, i = 1, 2, \cdots, n\] \[\left|\sum_{i=1}^n f(c_i) \Delta x - A\right| < 1, c_i \in [x_{i-1}, x_i]\text{任取}, i = 1, 2, \cdots, n\]
由此导出 由此导出
\[\left|\sum_{i=1}^n f(c_i) \Delta x \right| < \left|\sum_{i=1}^n f(c_i) \Delta x - A\right| + \vert A \vert < 1 + \vert A \vert\] \[\left|\sum_{i=1}^n f(c_i) \Delta x \right| < \left|\sum_{i=1}^n f(c_i) \Delta x - A\right| + \abs{A} < 1 + \abs{A}\]
因此 因此
\[\left|\sum_{i=1}^n f(c_i) \right| \leq \frac{1 + \vert A \vert}{\Delta x}\] \[\left|\sum_{i=1}^n f(c_i) \right| \leq \frac{1 + \abs{A}}{\Delta x}\]
进一步有 进一步有
\[\vert f(c_i) \vert \leq \left| \sum_{i=1}^n f(c_i) \right| + \left| \sum_{i=2}^n f(c_i)\right| \leq \frac{1 + \vert A \vert}{\Delta x} + \left| \sum_{i=2}^n f(x_i) \right|\] \[\vert f(c_i) \vert \leq \left| \sum_{i=1}^n f(c_i) \right| + \left| \sum_{i=2}^n f(c_i)\right| \leq \frac{1 + \abs{A}}{\Delta x} + \left| \sum_{i=2}^n f(x_i) \right|\]
\[\vert f(x) \vert \leq \frac{1 + \vert A \vert}{\Delta x} + \left|\sum_{i\neq 1}^n f(x_i)\right| = M_1, \forall x \in [x_0, x_1]\] \[\vert f(x) \vert \leq \frac{1 + \abs{A}}{\Delta x} + \left|\sum_{i\neq 1}^n f(x_i)\right| = M_1, \forall x \in [x_0, x_1]\]
类似地可以得到 类似地可以得到
\begin{align*} \begin{align*}
\vert f(x) \vert \leq \frac{1 + \vert A \vert}{\Delta x} + \left|\sum_{i\neq 2}^n f(x_i)\right| & = M_2, \forall x \in [x_1, x_2]\\ \vert f(x) \vert \leq \frac{1 + \abs{A}}{\Delta x} + \left|\sum_{i\neq 2}^n f(x_i)\right| & = M_2, \forall x \in [x_1, x_2]\\
\vdots & \\ \vdots & \\
\vert f(x) \vert \leq \frac{1 + \vert A \vert}{\Delta x} + \left|\sum_{i\neq n}^n f(x_i)\right| & = M_n, \forall x \in [x_{n-1}, x_n] \vert f(x) \vert \leq \frac{1 + \abs{A}}{\Delta x} + \left|\sum_{i\neq n}^n f(x_i)\right| & = M_n, \forall x \in [x_{n-1}, x_n]
\end{align*} \end{align*}
将这$n$个式子综合起来就可以得到 将这$n$个式子综合起来就可以得到
\[\vert f(x) \vert \leq \max \{M_1, \cdots, M_n\}, \forall x \in [a,b] \eqper \qedhere\] \[\vert f(x) \vert \leq \max \{M_1, \cdots, M_n\}, \forall x \in [a,b] \eqper \qedhere\]
@@ -521,7 +521,7 @@ C^n [a,b] = \{f \in C[a,b] \mid f^{(n)} \in C[a,b]\}\]
\begin{corollary} \begin{corollary}
容易由Lebesgue定理得到以下结论 容易由Lebesgue定理得到以下结论
\begin{enumerate} \begin{enumerate}
\item$f \in R[a,b]$,则$\vert f \vert \in R[a,b]$ \item$f \in R[a,b]$,则$\abs{f} \in R[a,b]$
\item$f, g \in R[a,b]$,则$fg \in R[a,b]$ \item$f, g \in R[a,b]$,则$fg \in R[a,b]$
\item$f \in R[a,b]$$\dfrac{1}{f}$有界,则$\dfrac{1}{f} \in R[a,b]$ \item$f \in R[a,b]$$\dfrac{1}{f}$有界,则$\dfrac{1}{f} \in R[a,b]$
\item$f \in R[a,b], \varphi \in C[\alpha, \beta]$$f([a,b]) \subset [\alpha, \beta]$,则$\varphi \circ f \in R[a,b]$ \item$f \in R[a,b], \varphi \in C[\alpha, \beta]$$f([a,b]) \subset [\alpha, \beta]$,则$\varphi \circ f \in R[a,b]$
@@ -609,7 +609,7 @@ C^n [a,b] = \{f \in C[a,b] \mid f^{(n)} \in C[a,b]\}\]
\end{definition} \end{definition}
\begin{lemma}[Riemann-Lebesgue] \begin{lemma}[Riemann-Lebesgue]
$f$$[a,b]$上可积或广义绝对可积($f$$\vert f \vert$均在$[a,b]$上广义可积),则 $f$$[a,b]$上可积或广义绝对可积($f$$\abs{f}$均在$[a,b]$上广义可积),则
\[\tolim{\lambda}{\infty} \int_a^b f(x) \cos \lambda x \dif x = 0, \tolim{\lambda}{\infty} \int_a^b f(x) \sin \lambda x \dif x = 0\eqper\] \[\tolim{\lambda}{\infty} \int_a^b f(x) \cos \lambda x \dif x = 0, \tolim{\lambda}{\infty} \int_a^b f(x) \sin \lambda x \dif x = 0\eqper\]
\end{lemma} \end{lemma}
@@ -646,4 +646,4 @@ C^n [a,b] = \{f \in C[a,b] \mid f^{(n)} \in C[a,b]\}\]
\left|\int_a^b f(x) \cos \lambda x \dif x \right| & \leq \left|\int_a^{a + \delta} f(x) \cos x \lambda x \dif x \right| + \left|\int_{a + \delta}^b f(x) \cos \lambda x \dif x \right|\\ \left|\int_a^b f(x) \cos \lambda x \dif x \right| & \leq \left|\int_a^{a + \delta} f(x) \cos x \lambda x \dif x \right| + \left|\int_{a + \delta}^b f(x) \cos \lambda x \dif x \right|\\
& < \frac{\varepsilon}{2} = \frac{\varepsilon}{2} = \varepsilon\eqper \qedhere & < \frac{\varepsilon}{2} = \frac{\varepsilon}{2} = \varepsilon\eqper \qedhere
\end{align*} \end{align*}
\end{proof} \end{proof}

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\chapter{定积分的应用}
\section{几何应用}
\subsection{平面图形的面积}
\subsubsection{直角坐标系下平面图形面积的计算}
考虑由直线$x = a, x = b$$x$轴和连续曲线$y = f(x)$所围成的曲边梯形的面积$A$。根据定积分的定义和几何意义可知,
\[A = \int_a^b \abs{f(x)} \dif x\eqper\]
再考虑由曲线$y = f(x), y = g(x)$和直线$x = a, x = b$所围成的面积$A$。对于$g(x) \leq f(x), x \in [a,b]$,有
\[\dif A = [f(x) - g(x)] \dif x\]
因此
\[A = \int_a^b [f(x) - g(x)] \dif x\]
进一步若$f(x), g(x)$大小关系不确定,有
\[A = \int_a^b \abs{f(x) - g(x)} \dif x\eqper\]
最后考虑:设连续函数$\varphi(y), \psi(y)$满足
\[0 \leq \psi(y) \leq \varphi(y), y \in [c,d]\]
求由曲线$x = \varphi(y), x = \psi(y)$和直线$y = c, y = d$围成的面积$A$
仿照上面,有
\[A = \int_c^d[\varphi(y) - \psi(y)] \dif y\eqper\]
\subsubsection{极坐标系下平面图形面积的计算}
求曲线$\rho = \rho(\theta)$及射线$\theta = \alpha, \theta = \beta$所围成的面积$A$
注意面积微元,即小扇形的面积为
\[\dif A = \frac{1}{2}\rho^2(\theta \dif \theta)\]
因此面积为
\[A = \frac{1}{2} \int_\alpha^\beta \rho^2(\theta) \dif \theta\eqper\]
\subsubsection{利用参数方程求图形面积}
\begin{example}
求星形线:
\(\begin{cases}
x = a\cos^3 t\\
y = a\sin^3 t
\end{cases} t \in [0,2\pi]\)
所围成的面积。
\end{example}
\begin{proof}[解]
利用对称性
\begin{align*}
A & = 4A_1 = 4\int_0^a y \dif x\\
& = 4 \int_\frac{\pi}{2}^0 a \sin^3 t \cdot 3a\cos^2 t (-\sin t) \dif t\\
& = 12\int_0^\frac{\pi}{2}a^2 \sin^4 t(1 - \sin^2 t) \dif t\\
& = 12a^2 \left(\frac{3}{4} \cdot \frac{1}{2} \cdot \frac{\pi}{2} - \frac{5}{6} \cdot \frac{3}{4} \cdot \frac{1}{2} \cdot \frac{\pi}{2}\right)\\
& = \frac{3}{8} \pi a^2 \eqper \qedhere
\end{align*}
\end{proof}
\subsection{空间体的体积}
\subsubsection{已知平行截面面积的空间体的体积}
若已知平行截面面积关于$x$的函数为$A(x)$,那么体积
\[V = \int_a^b A(x) \dif x\eqper\]
\subsubsection{旋转体的体积}
$f(x), x = a, x = b$$x$轴所围成的图形绕$x$轴旋转一周,求所得的空间体的体积。注意到每个截面的面积$A(x) = \pi y^2 = \pi f^2(x)$。因此
\[V = \int_a^b \pi f^2(x) \dif x = \pi \int_a^b f^2(x) \dif x\eqper\]
\subsection{平面曲线的弧长}
将曲线$AB$取细分的点$A = M_0, M_1, M_2, \dots, M_n = B$,曲线的长度定义为
\[l = \tolim{\lambda}{0} \sum_{i=1}^n \abs{M_{i-1}M_i}\]
即折线的长度的极限。
\begin{enumerate}
\item 假设曲线方程由$y = f(x)$给出,且曲线是光滑的,即$\deriv{f}(x)$$[a,b]$上连续。那么
\[\abs{M_{i-1}M_i} = \sqrt{(\Delta x_i)^2 + (\Delta y_i)^2}(i = 1, 2, \dots, n)\]
由Lagrange中值定理可以得到
\[\Delta y_i = f(x_i) - f(x_{i-1}) = \deriv{f}(\xi_i) \cdot \Delta x_i (x_{i-1} < \xi_i < x_i)\]
这导出
\[\abs{M_{i-1}M_i} = \sqrt{1 + [\deriv{f}(\xi_i)]^2} \cdot \Delta x_i (i = 1, 2, \dots, n)\]
因而
\[\sum_{i=1}^n \abs{M_{i-1}M_i} = \sum_{i=1}^n \sqrt{1 + [\deriv{f}(\xi_i)]^2}\cdot \Delta x_i\]
那么令$\lambda = \max \limits_{1 \leq i \leq n} \abs{M_{i-1}M_i}$$\mu = \max \limits_{1 \leq i \leq n} \{\Delta x_i\}$$\Delta x_i \leq \abs{M_{i-1}M_i}$导出$\mu \leq \lambda$。因此$\lambda \to 0$时,有$\mu \to 0$。那么
\begin{align*}
l & = \tolim{\lambda}{0} \sum_{i=1}^n \abs{M_{i-1}M_i}\\
& = \tolim{\mu}{0} \sum_{i=1}^n \sqrt{1 + [\deriv{f}(\xi_1)]^2} \cdot \Delta x_1\\
& = \int_a^b \sqrt{1 + [\deriv{f}(x)]^2}\dif x
\end{align*}
因此弧长为
\[l = \int_a^b \sqrt{1 + [\deriv{f}(x)]^2} \dif x = \int_a^b \sqrt{1 + \left(\deriv{y}\right)^2} \dif x\]
\item 假设曲线由参数方程
\(\begin{cases}
x = x(t)\\
y = y(t)
\end{cases} (\alpha \leq t \leq \beta)\)
给出,$\deriv{x}(t), \deriv{y}(t) \in C[\alpha, \beta]$且不同时为零。$t = \alpha$对应起点$A$$t = \beta$对应重点$B$,即当$\dif t > 0$时,由$\dif l > 0$。因而弧长公式为
\[l = \int_\alpha^\beta \sqrt{\left(\deriv{x}\right)^2(t) + \left(\deriv{y}\right)^2(t)}\dif t\eqper\]
\item 假设曲线段由极坐标方程$\rho = \rho(\theta)(\alpha \leq \theta \leq \beta)$给出,且$\deriv{\rho}(\theta)$$[\alpha, \beta]$上连续。选择$\theta$作为参数,那么
\[\begin{cases}
x = \rho(\theta) \cos \theta\\
y = \rho(\theta) \sin \theta
\end{cases} (\alpha \leq \theta \leq \beta)\]
因此弧长公式为
\[l = \int_\alpha^\beta \sqrt{\rho^2(\theta) + \left(\deriv{\rho}\right)^2(\theta)}\dif \theta\eqper\]
对应的弧微分公式为
\[\dif l = \sqrt{\rho^2(\theta) + [\deriv{\rho}(\theta)]^2} \dif \theta\eqper\]
\end{enumerate}
\subsection{旋转体的侧面积}
$y = f(x)$$x$轴旋转,求其侧面积。用每一点的切线旋转所得圆台的侧面积近似。侧面积为
\[\text{圆台侧面积} = \pi [y + (y + \dif y)] \cdot \dif l = 2\pi y \dif l + \pi \dif y \cdot \dif l\]
$\dif x \to 0$时,$\dif y \cdot \dif l = o(\dif x)$,略去。
由此得到侧面积微元
\[\dif S = 2\pi y \dif l = 2\pi y \sqrt{1 + (\deriv{y})^2} \dif x\]
因此侧面积为
\[S = 2\pi \int_a^b y \sqrt{1 + (\deriv{y})^2} \dif x\]
\subsection{曲率与曲率半径}
曲率问题就是研究曲线的弯曲程度的问题。
\begin{definition}
$M_0, M$之间的弧长为$\Delta l$$\dfrac{\Delta \alpha}{\Delta l}$$M_0, M$之间的平均曲率。若
\[\abs{\tolim{\Delta l}{0} \frac{\Delta \alpha}{\Delta l}}\]
存在,则称$k = \abs{\tolim{\Delta l}{0} \dfrac{\Delta \alpha}{\Delta l}}$为曲线在$M_0$处的曲率。
\end{definition}
设曲线$y = f(x)$二阶可导,那么
\[k = \abs{\tolim{\Delta l}{0} \frac{\Delta \alpha}{\Delta l}} = \abs{\frac{\dif \alpha}{\dif l}}\]
又因为
\[\tan \alpha = \deriv{y}, \alpha = \arctan \deriv{y}\]
可以得到
\[\dif \alpha = \frac{1}{1 + (\deriv{y})^2} y^{\prime \prime} \dif x, \dif l = \sqrt{1 + (\deriv{y})^2}\dif x\]
由此我们能得到
\begin{theorem}
曲线的曲率公式为
\[k = \frac{\abs{y^{\prime \prime}}}{(1+(\deriv{y})^2)^\frac{3}{2}}\eqper\]
\end{theorem}
\begin{definition}
$R = \dfrac{1}{k}$称为曲线$y = f(x)$$M_0$处的曲率半径。
\end{definition}
\section{物理应用}
\subsection{引力问题}
\begin{example}
设有一均匀细杆长为$2l$,质量为$M$。另有一质量为$m$的质点,位于细杆所在的直线上,与杆的近端的距离为$a$。求细杆对质点的引力$F$
\end{example}
\begin{figure}[H]
\centering
\begin{tikzpicture}
\draw[-{Stealth[width=5pt]}] (-3,0)--(3,0) node[below] {$x$};
\node[below] at (-2.8,0) {$O$};
\node[above] at (-2.8,0) {$m$};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=4pt] at (-2.8,0) {};
\node[above] at (-1,0) {$a$};
\node[above] at (0,0) {$x$};
\node[above] at (1,0) {$x + \dif x$};
\node[above] at (2.3,0) {$2l + a$};
\draw[color=red, line width=2pt] (-1,0)--(2,0);
\draw[color=black!50!white, line width=2pt] (0,0)--(0.6,0);
\end{tikzpicture}
\end{figure}
\begin{proof}[解]
取一个小区间$[x, x + \dif x]$,视为质点质量$\dfrac{M}{2l}\dif x$
因此
\[\dif F = k \frac{m\left(\frac{M}{2l}\dif x\right)}{x^2} = \frac{kmM}{2l}\cdot \frac{1}{x^2} \dif x\]
因此合力应为
\[F = \int_a^{a + 2l} \frac{kmM}{2l} \cdot \frac{1}{x^2} \dif x = \frac{kmM}{2l} \cdot \eval{\left(-\frac{1}{x}\right)}_a^{a+2l} = \frac{kmM}{a(a+2l)}\eqper \qedhere\]
\end{proof}
\subsection{变力做功问题}
问题:求物体从$x = a$移到$x = b$时变力$f(x)$所做的功。注意到功的微元$\dif W = f(x) \dif x$。因此
\[W = \int_a^b f(x) \dif x \eqper\]
\subsection{静力矩和质心}
\subsubsection{质点系的质心}
设有若干个点$A_1, A_2, \dots, A_n$,它们的坐标分别为$(x_1, y_1), (x_2, y_2), \dots, (x_n, y_n)$,质量分别为$m_1, m_2, \dots, m_n$
\begin{figure}[H]
\centering
\begin{tikzpicture}
\draw[-{Stealth[width=5pt]}] (-0.5,0)--(4,0);
\draw[-{Stealth[width=5pt]}] (0,-0.5)--(0,3);
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (0.5,1) {};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (1.2,0.8) {};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (1.5,1.4) {};
\node at (2.3,1.5) {$A_i(m_i)$};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (0.7,2) {};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (2.5,0.5) {};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (3.5,2.8) {};
\node[draw=black, fill=black, circle, inner sep=0, minimum size=2pt] at (2,2.3) {};
\draw[dashed] (0,1.4)--(1.5,1.4)--(1.5,0);
\node[left] at (0,1.4) {$y_i$};
\node[below] at (1.5,0) {$x_i$};
\end{tikzpicture}
\end{figure}
质点$A_i$$x$轴的静力矩为$m_iy_i$,对$y$轴的静力矩为$m_ix_i$。因此质点系对$x$轴的静力矩
\[M_x = \sum_{i=1}^n m_iy_i\]
$y$轴的静力矩
\[M_y = \sum_{i=1}^n m_ix_i\]
同时质点系的总质量
\[M = \sum_{i=1}^n m_i\]
我们可设质心的坐标为$(\overline{x}, \overline{y})$,那么
\[M_x = M\overline{y}, M_y = M\overline{x}\]
\[\overline{x} = \frac{\displaystyle_{i=1}^n m_i x_i}{M}, \overline{y} = \frac{\displaystyle_{i=1}^n m_i y_i}{M}\eqper\]
\subsubsection{平面曲线的质心}
设线密度$\rho$为常数。将弧长区间$[0,L]$分割。任取一个小区间$[l,l + \dif l]$。将其视为坐标为$(x,y)$的质点。因此$\dif M = \rho \dif l$。那么静力矩微元
\[\dif M_x = y \rho \dif l, \dif M_y = x \rho \dif l\]
于是有
\[M_x = \int_0^L y \rho \dif l = \rho \int_0^L y \dif l, \dif M_y = \int_0^L x\rho \dif l = \rho \int_0^L x \dif l\]
同时
\[M = \int_0^L \rho \dif l = \rho \int_0^L \dif l = \rho L\]
因此质心坐标为
\[\overline{x} = \frac{\rho \int_0^L x \dif l}{\rho L} = \frac{\int_0^L x \dif l}{L}\]
\subsubsection{平面薄板的质心}
设面密度$\mu$为常数。
质量$M = \int_a^b \mu y \dif x$。静力矩
\[M_x = \frac{1}{2} \mu \int_a^b y^2 \dif x, M_y = \mu \int_a^b xy \dif x\]
因此质心坐标为
\[\overline{x} = \frac{\int_a^b xy \dif x}{\int_a^b y \dif x}, \overline{y} = \frac{\frac{1}{2} \int_a^b y^2 \dif x}{\int_a^b y \dif x}\]
对极坐标方程$\rho = \rho(\theta)$,质量微元的质心坐标为
\[\dif M_x = \frac{2}{3}\rho(\theta)\sin \theta \dif \theta, \dif M_y = \frac{2}{3} \rho(\theta) \cos \theta \dif \theta\eqper\]

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\usepackage{extarrows} \usepackage{extarrows}
\usepackage{physics} \usepackage{physics}
% \usepackage{mathptmx} % \usepackage{mathptmx}
\usetikzlibrary{arrows.meta}
\geometry{a4paper,scale=0.8} \geometry{a4paper,scale=0.8}
@@ -59,7 +60,7 @@
\date{} \date{}
% linespread{1.5} % linespread{1.5}
\includeonly{07函数的积分.tex} % \includeonly{08定积分应用.tex}
\begin{document} \begin{document}
\maketitle \maketitle
@@ -77,4 +78,6 @@
\include{05插值与逼近初步.tex} \include{05插值与逼近初步.tex}
\include{06求导的逆运算.tex} \include{06求导的逆运算.tex}
\include{07函数的积分.tex} \include{07函数的积分.tex}
\include{08定积分应用.tex}
\include{09常微分方程.tex}
\end{document} \end{document}