5.3 The Definite Integral

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这一节从上节的黎曼求和表达式中,推导出定积分(definite integral)的定义。


在上一节中,黎曼求和表达式中,我们将每个子区间称为partition P,将其长度的最大值称为norm(p||p||)。子区间不需要是均分的,当子区间的数量趋于无穷时,其实这并不影响最后的结果;或者也可以将子区间的数量趋于无穷换成说norm趋于零。


定积分的定义:

Let f(x) be a function defined on closed internal [a, b]. We say that a number I is the definite integral of f over [a, b] and that I is the limit of the Riemann sums k=1nf(xk)Δxk\sum_{k = 1}^n f(x_k)\Delta x_k if the following condition is satisfied:

Given any number ϵ>0\epsilon > 0 there is a corresponding number δ>0\delta > 0 such that for every partition P={x0,x1,...,xn}P = \{x_0, x_1, ..., x_n\} of [a, b] with P<δ||P|| < \delta and any choice of ckc_k in [xk1,xk][x_{k - 1}, x_k], we have

k=1nf(ck)ΔxkI<ϵ|\sum_{k = 1}^n f(c_k)\Delta x_k - I | < \epsilon

说大白话就是,I是黎曼求和表达式的极限,这个极限就是函数f在区间[a, b]上的定积分。


更常见的表示符号是莱布尼茨引入的,将黎曼求和改写成:

abf(x)dx\int_a^b f(x) dx

离散的f(ck)f(c_k)被替换为连续取值的f(x),极微小的Δxk\Delta x_k表示为微分dx。上面式子,用英文来表述是这样的:

"the integral from a to b of ƒ of x dee x" or
"the integral from a to b of ƒ of x with respect to x"

真够绕的。。。

当极限存在时,称为函数f在区间[a,b]上的黎曼求和收敛(converge)于定积分I,函数f在区间[a, b]可积(integrable)。用公式表述为:

limp0k=1nf(ck)Δxk=I=abf(x)dx\lim_{||p|| \to 0} \sum_{k = 1}^n f(c_k)\Delta x_k = I = \int_a^b f(x)dx

limnk=1nf(ck)Δx=I=abf(x)dx\lim_{n \to \infty} \sum_{k = 1}^n f(c_k)\Delta x = I = \int_a^b f(x)dx


定积分存在的判定

连续函数是可积的,函数在连续区间存在定积分


那么不连续的区间是否就不可积呢?未必。这里引用原文一句话:"For integrability to fail, a function needs to be sufficiently discontinuous so that the region between its graph and the x-axis cannot be approximated well by increasingly thin rectangles."

书上举了一个例子:

f(x)={1,if x is rational0,if x is irrationalf(x) = \begin{cases} 1, & \text{if x is rational} \\ 0, & \text{if x is irrational} \\ \end{cases}

假设我们去求区间[0, 1]的黎曼求和,表达式如下:

k=1nf(ck)Δxk\sum_{k = 1}^n f(c_k)\Delta x_k

对于任意的子区间[xk1,xk][x_{k - 1}, x_k],如果我们取f(ck)f(c_k)最大值,即1,那么上式变成

k=1nf(ck)Δxk=k=1n(1)Δxk=(1)k=1nΔxk=11=1\sum_{k = 1}^n f(c_k)\Delta x_k = \sum_{k = 1}^n (1) \Delta x_k = (1) \cdot \sum_{k = 1}^n \Delta x_k = 1 \cdot 1 = 1

注意k=1nΔxk\sum_{k = 1}^n \Delta x_k其实就是区间[0, 1]的长度,所以其值为1。

如果我们取f(ck)f(c_k)的最小值,即0,那么上式变成:

k=1nf(ck)Δxk=k=1n(0)Δxk=(0)k=1nΔxk=01=0\sum_{k = 1}^n f(c_k)\Delta x_k = \sum_{k = 1}^n (0) \Delta x_k = (0) \cdot \sum_{k = 1}^n \Delta x_k = 0 \cdot 1 = 0

显然,黎曼求和在这个函数的[0, 1]区间是不收敛的,也就是不可积。



定积分的重要性质

f和g都可积,那么它们具有以下性质:

5.3-1.png

现在再回到5.1讨论的一些具体问题,在这里就可以把它们和定积分联系起来了。

连续函数和x轴之间的面积就是就是此函数在连续区间的定积分,即:

A=abf(x)dxA = \int_a^b f(x)dx

不管a和b分布于x轴的各个位置,以上定义都是成立的,只要将面积概率扩大化到有负面积即可。


连续函数在某区间的平均值,就是此函数在这个区间的不定积分除以区间长度

average=1baabf(x)dxaverage = \frac{1}{b - a} \int_a^b f(x) dx

回顾5.1节求墙体平均温度的式子:

tavg=k=1nt(xk)n=k=1nt(xk)ΔxnΔxt_{avg} = \frac{\sum_{k = 1}^n t(x_k)}{n} = \frac{\sum_{k = 1}^n t(x_k) \cdot \Delta x}{n \cdot \Delta x}

假设所求的是墙体[a, b]区间的平均温度,那么上式就转化为:

tavg=1baabt(x)dxt_{avg} = \frac{1}{b - a} \int_a^b t(x)dx


练习

  1. limPpk=1nck2Δxk\lim_{||P|| \to p} \sum_{k = 1}^n c_k^2 \Delta x_k
02x2dx\int_0^2 x^2 dx

  1. limPpk=1n2ck3Δxk\lim_{||P|| \to p} \sum_{k = 1}^n 2c_k^3 \Delta x_k
102x3dx\int_{-1}^0 2x^3 dx

  1. limPpk=1n(ck23ck)Δxk\lim_{||P|| \to p} \sum_{k = 1}^n (c_k^2 - 3c_k) \Delta x_k
75(x23x)dx\int_{-7}^5 (x^2 -3x) dx

  1. limPpk=1n(1ck)Δxk\lim_{||P|| \to p} \sum_{k = 1}^n (\frac{1}{c_k})\Delta x_k
14(1x)dx\int_1^4 (\frac{1}{x}) dx

  1. limPpk=1n11ckΔxk\lim_{||P|| \to p} \sum_{k = 1}^n \frac{1}{1 - c_k} \Delta x_k
2311xdx\int_2^3 \frac{1}{1 - x} dx

  1. limPpk=1n4ck2Δxk\lim_{||P|| \to p} \sum_{k = 1}^n \sqrt{4 - c_k^2} \Delta x_k
014x2dx\int_0^1 \sqrt{4 - x^2} dx

  1. limPpk=1n(secck)Δxk\lim_{||P|| \to p} \sum_{k = 1}^n (\sec c_k) \Delta x_k
π/40(secx)dx\int_{-\pi/4}^0 (\sec x) dx

  1. limPpk=1n(tanck)Δxk\lim_{||P|| \to p} \sum_{k = 1}^n (\tan c_k) \Delta x_k
0π/4(tanx)dx\int_0^{\pi/4} (\tan x) dx

  1. 12f(x)dx=4, 15f(x)dx=6, 15g(x)dx=8\int_1^2 f(x)dx = -4, \ \int_1^5 f(x)dx = 6, \ \int_1^5 g(x)dx = 8

a. 22g(x)dx=0\int_2^2 g(x)dx = 0

b. 51g(x)dx=8\int_5^1 g(x)dx = -8

c. 123f(x)dx=12\int_1^2 3f(x)dx = -12

d. 25f(x)dx=15f(x)dx12f(x)dx=10\int_2^5 f(x)dx = \int_1^5 f(x)dx - \int_1^2 f(x)dx = 10

e. 15[f(x)g(x)]dx=15f(x)dx15g(x)dx=2\int_1^5 [f(x) - g(x)]dx = \int_1^5 f(x)dx - \int_1^5 g(x)dx = -2

f. 15[4f(x)g(x)]dx=248=16\int_1^5 [4f(x) - g(x)]dx = 24 - 8 = 16


  1. 19f(x)dx=1, 79f(x)dx=5, 79h(x)dx=4\int_1^9 f(x)dx = -1, \ \int_7^9 f(x)dx = 5, \ \int_7^9 h(x)dx = 4

a. 192f(x)dx=2\int_1^9 -2f(x)dx = 2

b. 79[f(x)+h(x)]dx=9\int_7^9 [f(x) + h(x)]dx = 9

c. 79[2f(x)3h(x)]dx=1012=2\int_7^9 [2f(x) - 3h(x)]dx = 10 - 12 = -2

d. 91f(x)dx=1\int_9^1 f(x)dx = 1

e. 17f(x)dx=19f(x)dx79f(x)dx=6\int_1^7 f(x)dx = \int_1^9 f(x)dx - \int_7^9 f(x)dx = -6

f. 97[h(x)f(x)]dx=79f(x)dx79h(x)dx=1\int_9^7 [h(x) - f(x)]dx = \int_7^9 f(x)dx - \int_7^9 h(x)dx = 1