University Calculus · Calculus II大学微积分 · 微积分 II

Unit B5: Further Applications: Work, Center of Mass, Probability第 B5 单元:积分的进一步应用:功、质心、概率

Six classic integral applications built from one habit: slice, approximate each piece by a constant, multiply, and integrate.六个经典积分(integral)应用,全部基于同一方法:切片、用常数近似每段、相乘、积分。

Calculus II Single-Variable单变量 Integrals & Series积分与级数 MIT 18.01 / GT 1552 / Princeton MAT 104
Read me first. This unit applies the definite integral to physical and statistical quantities: work done by a variable force, hydrostatic force on a submerged surface, moments and centers of mass, the centroid of a plane region, the average value of a function, and probability density functions. Every formula here is the same slice-and-sum idea, so focus on setting up the element (the small piece) correctly rather than memorizing six separate results.
阅读前须知。 本单元将定积分(definite integral)应用于物理量和统计量:变力做的功(work)、水下表面的静水压力、力矩与质心(center of mass)、平面区域的形心(centroid)、函数平均值(average value),以及概率密度函数(probability density function)。所有公式都源于同一个切片求和的思想,重点应放在正确建立微元(小切片)上,而不是死记六个独立结果。

Work

Key idea. When a force varies along the line of motion, the work it does cannot be the product (force)(distance). Slice the displacement into pieces so small that the force is nearly constant on each, multiply force by the tiny displacement, and integrate. Work is the accumulated product of force and distance, taken as a definite integral.
核心思想。 当力沿运动方向变化时,功(work)不能简单地用(力)乘以(距离)来计算。将位移切分成足够小的段,使得每段上力近似为常数,将力乘以微小位移,再积分。功就是力与位移乘积的累积,即一个定积分(definite integral)。
Work done by a variable force along a line变力沿直线做的功
$$ W = \int_a^b F(x)\,dx $$

Here $F(x)$ is the component of force in the direction of motion at position $x$, and the object moves from $x=a$ to $x=b$. In SI units force is in newtons and distance in meters, so work is in joules ($1\,\text{J} = 1\,\text{N}\cdot\text{m}$). For a spring, Hooke's law gives $F(x) = kx$, where $x$ is the displacement from the natural length and $k$ is the spring constant.

其中 $F(x)$ 是物体在位置 $x$ 处沿运动方向的力分量,物体从 $x=a$ 移动到 $x=b$。国际单位制中力的单位为牛顿,距离为米,故功的单位为焦耳($1\,\text{J} = 1\,\text{N}\cdot\text{m}$)。对于弹簧,胡克定律(Hooke's law)给出 $F(x) = kx$,其中 $x$ 是从自然长度算起的形变量,$k$ 为弹簧常数。

Pumping a tank: work to lift each horizontal slab抽水问题:提升每层水平薄片所做的功
$$ W = \int_{c}^{d} (\text{weight density})\cdot A(y)\cdot (\text{lift distance})\,dy $$

For pumping problems the variable is a horizontal coordinate $y$. A slab at height $y$ of thickness $dy$ has volume $A(y)\,dy$, weight $\rho g\, A(y)\,dy$ (or weight density times volume), and must be lifted a distance that depends on $y$. The product, integrated, is the total work.

在抽水问题中,积分变量是竖向坐标 $y$。高度为 $y$、厚度为 $dy$ 的薄片体积为 $A(y)\,dy$,重力为 $\rho g\,A(y)\,dy$(重度乘以体积),需要被提升的距离取决于 $y$。将这个乘积积分即得总功。

Worked Example 1.1: stretching a spring例题 1.1:拉伸弹簧

A force of $40\,\text{N}$ holds a spring stretched $0.2\,\text{m}$ beyond its natural length. Find the work done in stretching it from $0.2\,\text{m}$ to $0.5\,\text{m}$ beyond natural length.

First find $k$ from Hooke's law: $40 = k(0.2)$, so $k = 200\,\text{N/m}$. Then

$$ W = \int_{0.2}^{0.5} 200x\,dx = 100x^2\Big|_{0.2}^{0.5} = 100(0.25 - 0.04) = 21\,\text{J}. $$

一个力 $40\,\text{N}$ 将弹簧从自然长度拉伸 $0.2\,\text{m}$。求将其从 $0.2\,\text{m}$ 拉伸至 $0.5\,\text{m}$ 所做的功。

由胡克定律求 $k$:$40 = k(0.2)$,故 $k = 200\,\text{N/m}$。则

$$ W = \int_{0.2}^{0.5} 200x\,dx = 100x^2\Big|_{0.2}^{0.5} = 100(0.25 - 0.04) = 21\,\text{J}. $$
Worked Example 1.2: pumping water from a tank例题 1.2:从水箱中抽水

A cylindrical tank of radius $2\,\text{m}$ and height $5\,\text{m}$ is full of water (weight density $9800\,\text{N/m}^3$). Find the work to pump all the water out over the top rim. Let $y$ measure height above the base.

A slab at height $y$ has volume $\pi(2)^2\,dy = 4\pi\,dy$ and must rise a distance $5 - y$ to clear the rim:

$$ W = \int_0^5 9800\,(4\pi)(5-y)\,dy = 39200\pi\int_0^5 (5-y)\,dy = 39200\pi\Big[5y - \tfrac{y^2}{2}\Big]_0^5. $$ $$ W = 39200\pi\big(25 - 12.5\big) = 490000\pi \approx 1.54\times 10^{6}\,\text{J}. $$

一个半径 $2\,\text{m}$、高 $5\,\text{m}$ 的圆柱形水箱装满水(重度 $9800\,\text{N/m}^3$)。求将所有水从顶部抽出所做的功。设 $y$ 为距底部的高度。

高度 $y$ 处的薄片体积为 $\pi(2)^2\,dy = 4\pi\,dy$,需提升距离 $5 - y$ 才能越过顶部:

$$ W = \int_0^5 9800\,(4\pi)(5-y)\,dy = 39200\pi\int_0^5 (5-y)\,dy = 39200\pi\Big[5y - \tfrac{y^2}{2}\Big]_0^5. $$ $$ W = 39200\pi\big(25 - 12.5\big) = 490000\pi \approx 1.54\times 10^{6}\,\text{J}. $$
Worked Example 1.3: pumping from a cone, where the cross-section varies例题 1.3:从锥形容器抽水(截面积随高度变化)

An inverted right-circular cone (point down) has height $10\,\text{m}$ and top radius $4\,\text{m}$. It is filled to a depth of $8\,\text{m}$ with water ($w = 9800\,\text{N/m}^3$). Find the work to pump all the water to the top rim of the cone. Let $y$ measure height above the vertex.

The cone widens linearly from radius $0$ at $y=0$ to radius $4$ at $y=10$, so the radius at height $y$ is $r(y) = \tfrac{4}{10}y = \tfrac{2}{5}y$. A slab at height $y$ has area $A(y) = \pi r^2 = \pi\big(\tfrac{2}{5}y\big)^2 = \tfrac{4\pi}{25}y^2$. The water occupies $0 \le y \le 8$, and each slab must rise to the rim at $y=10$, a distance $10 - y$:

$$ W = \int_0^8 9800\cdot \tfrac{4\pi}{25}y^2 (10 - y)\,dy = \frac{39200\pi}{25}\int_0^8 \big(10y^2 - y^3\big)\,dy. $$ $$ \int_0^8 \big(10y^2 - y^3\big)\,dy = \Big[\tfrac{10}{3}y^3 - \tfrac14 y^4\Big]_0^8 = \tfrac{10}{3}(512) - \tfrac14(4096) = \tfrac{5120}{3} - 1024 = \tfrac{2048}{3}. $$ $$ W = \frac{39200\pi}{25}\cdot \frac{2048}{3} = \frac{80281600\pi}{75} \approx 3.36\times 10^{6}\,\text{J}. $$

The lesson: when the tank is not a cylinder, $A(y)$ is a genuine function of $y$, and the lift distance is measured to wherever the water exits, not to the top of the fluid.

一个倒置的直圆锥(顶点朝下),高 $10\,\text{m}$,顶部半径 $4\,\text{m}$,装水至深度 $8\,\text{m}$(水的重度 $w = 9800\,\text{N/m}^3$)。求将全部水抽至顶部边缘所做的功。设 $y$ 为距顶点的高度。

锥体半径从 $y=0$ 时的 $0$ 线性增大到 $y=10$ 时的 $4$,故高度 $y$ 处的半径为 $r(y) = \tfrac{2}{5}y$。薄片面积 $A(y) = \tfrac{4\pi}{25}y^2$。水占据 $0 \le y \le 8$,每层薄片须提升至 $y=10$ 处,距离为 $10 - y$:

$$ W = \int_0^8 9800\cdot \tfrac{4\pi}{25}y^2 (10 - y)\,dy = \frac{39200\pi}{25}\int_0^8 \big(10y^2 - y^3\big)\,dy. $$ $$ \int_0^8 \big(10y^2 - y^3\big)\,dy = \Big[\tfrac{10}{3}y^3 - \tfrac14 y^4\Big]_0^8 = \tfrac{5120}{3} - 1024 = \tfrac{2048}{3}. $$ $$ W = \frac{39200\pi}{25}\cdot \frac{2048}{3} = \frac{80281600\pi}{75} \approx 3.36\times 10^{6}\,\text{J}. $$

关键:当容器不是圆柱体时,$A(y)$ 是 $y$ 的真实函数,提升距离应量至液体出口处,而非液面处。

Worked Example 1.4: lifting a rope and a hanging load (cable work)例题 1.4:提升绳索与悬挂重物(缆绳做功)

A uniform cable $20\,\text{m}$ long with linear density $3\,\text{kg/m}$ hangs from the top of a building. Find the work to wind the entire cable up to the top. Take $g = 9.8\,\text{m/s}^2$.

Let $x$ be the length of cable already wound up, so $0 \le x \le 20$. When $x$ meters have been raised, the still-hanging portion has length $20 - x$, mass $3(20 - x)$, and weight $3(20 - x)g$. Raising it a further $dx$ does work $3(20-x)g\,dx$. Equivalently, slice the cable: a piece at depth $x$ below the top must be lifted distance $x$, contributing $g\cdot 3\,dx \cdot x$. Both viewpoints give

$$ W = \int_0^{20} 3g\,x\,dx = 3(9.8)\Big[\tfrac{x^2}{2}\Big]_0^{20} = 29.4\cdot 200 = 5880\,\text{J}. $$

If in addition a $50\,\text{kg}$ load hangs at the bottom and is lifted the full $20\,\text{m}$, it adds constant-force work $50(9.8)(20) = 9800\,\text{J}$, for a total of $15680\,\text{J}$. The cable contributes a variable force (it shortens as you wind), while the load contributes a constant force; the integral handles the first, simple multiplication the second.

一根均匀缆绳,长 $20\,\text{m}$,线密度 $3\,\text{kg/m}$,悬挂于楼顶。求将整根缆绳提升至顶部所做的功。取 $g = 9.8\,\text{m/s}^2$。

设 $x$ 为已卷起的缆绳长度,$0 \le x \le 20$。当提升了 $x$ 米时,剩余悬挂部分长 $20-x$,质量 $3(20-x)$,重力 $3(20-x)g$。再提升 $dx$ 做功 $3(20-x)g\,dx$。等价地,切片:顶部以下深度 $x$ 处的一小段需提升距离 $x$,贡献 $g\cdot 3\,dx\cdot x$。两种视角均给出:

$$ W = \int_0^{20} 3g\,x\,dx = 3(9.8)\Big[\tfrac{x^2}{2}\Big]_0^{20} = 29.4\cdot 200 = 5880\,\text{J}. $$

若底部还挂有 $50\,\text{kg}$ 的重物并被提升 $20\,\text{m}$,还需加上常力做功 $50(9.8)(20) = 9800\,\text{J}$,总共 $15680\,\text{J}$。缆绳提供变力(随卷起而缩短),重物提供常力;积分处理前者,乘法处理后者。

Common error. Multiplying the full weight of the fluid by a single distance. Work is not (total weight)(height of tank). Different slabs travel different distances, so the lift distance must stay inside the integral as a function of $y$. A second frequent slip is measuring the lift to the top of the fluid rather than to the exit point: in Worked Example 1.3 every slab rises to $y=10$ (the rim), not to $y=8$ (the water surface). Always ask where each slice ends up before writing the distance factor.
常见错误。 将液体总重乘以某个单一距离。功不等于(总重量)乘以(水箱高度)。不同的薄片提升距离不同,所以提升距离必须作为 $y$ 的函数保留在积分号内。第二个常见失误是将提升距离量到液面顶部而非出口:在例题 1.3 中,每层薄片均升至 $y=10$(边缘),而非 $y=8$(水面)。在写距离因子之前,先确认每层切片的终点。
A spring with constant $k$ is stretched from its natural length to a displacement $a$. The work done is:弹簧常数为 $k$,从自然长度拉伸至位移 $a$,所做的功为:
1.1
$ka$
$\tfrac12 k a^2$
$k a^2$
$\tfrac12 k a$
Correct. $W=\int_0^a kx\,dx = \tfrac12 k a^2$.正确。$W=\int_0^a kx\,dx = \tfrac12 k a^2$。
Integrate the variable force: $W=\int_0^a kx\,dx = \tfrac12 k a^2$, not the constant product $ka$.对变力积分:$W=\int_0^a kx\,dx = \tfrac12 k a^2$,而非常量乘积 $ka$。

Hydrostatic Force and Pressure静水压力

Key idea. Pressure in a fluid at rest increases with depth and acts equally in all directions. On a vertical surface, the pressure is not constant, so the total force is again an integral: slice the surface into thin horizontal strips along which the depth is essentially constant, compute the force on each strip, and add.
核心思想。 静止流体的压强随深度增大,且向各方向均等作用。对于竖直表面,压强不是常数,因此总力需要用积分(integral)计算:将表面切分成细水平条,每条上深度近似不变,计算各条上的力再相加。
Pressure at depth and force on a horizontal area深度处的压强与水平面上的压力
$$ P = \rho g\, h, \qquad F = P\cdot A \quad (\text{constant depth}) $$

Here $\rho$ is the fluid density, $g$ the gravitational acceleration, and $h$ the depth below the surface. The product $\rho g$ is the weight density $w$ of the fluid (about $9800\,\text{N/m}^3$ for water). For a flat horizontal plate the pressure is uniform, so $F = whA$. For a vertical plate the depth varies, forcing an integral.

其中 $\rho$ 为流体密度,$g$ 为重力加速度,$h$ 为距液面的深度。乘积 $\rho g$ 称为流体重度 $w$(水约为 $9800\,\text{N/m}^3$)。对于水平平板,压强均匀,$F = whA$。对于竖直平板,深度随位置变化,必须用积分处理。

Hydrostatic force on a vertical plate竖直板上的静水压力
$$ F = \int_{a}^{b} w\, h(y)\, L(y)\, dy $$

A horizontal strip at depth $h(y)$ has width $L(y)$ and height $dy$, hence area $L(y)\,dy$. The force on the strip is (pressure)(area) $= w\,h(y)\,L(y)\,dy$. Summing over the plate gives the integral.

深度 $h(y)$ 处的水平条,宽度为 $L(y)$,厚度为 $dy$,面积为 $L(y)\,dy$。该条上的力为(压强)乘以(面积)$= w\,h(y)\,L(y)\,dy$。对整块板积分即得总力。

Worked Example 2.1: force on a submerged vertical wall例题 2.1:竖直挡水墙上的静水压力

A rectangular dam wall is $10\,\text{m}$ wide and the water stands $6\,\text{m}$ deep against it. Find the total hydrostatic force ($w = 9800\,\text{N/m}^3$). Let $h$ be depth below the surface.

Each strip has constant width $L = 10$, so

$$ F = \int_0^6 9800\,h\,(10)\,dh = 98000\int_0^6 h\,dh = 98000\cdot \frac{36}{2} = 1.764\times 10^{6}\,\text{N}. $$

一矩形大坝墙宽 $10\,\text{m}$,水深 $6\,\text{m}$。求总静水压力($w = 9800\,\text{N/m}^3$)。设 $h$ 为距液面的深度。

每条水平条宽度 $L = 10$(常数),故:

$$ F = \int_0^6 9800\,h\,(10)\,dh = 98000\int_0^6 h\,dh = 98000\cdot \frac{36}{2} = 1.764\times 10^{6}\,\text{N}. $$
Going deeper: why pressure equals weight density times depth深入探讨:为何压强等于重度乘以深度

Consider a thin column of fluid of cross-sectional area $A$ extending from the surface down to depth $h$. The fluid is in equilibrium, so the upward force on its base balances the weight of the column above it (plus atmospheric pressure, which we measure relative to).

The weight of the column is (density)(volume)(gravity) $= \rho (Ah) g$. Dividing by the base area $A$ gives the gauge pressure:

$$ P = \frac{\rho A h g}{A} = \rho g h = w h. $$

By Pascal's principle this pressure acts equally in all directions, so it presses with the same magnitude on a vertical wall at that depth.

考虑一截面积为 $A$、从液面延伸至深度 $h$ 的流体细柱。流体处于平衡,底面向上的力等于上方液柱的重力(相对大气压测量)。

液柱重力为(密度)乘以(体积)乘以(重力加速度)$= \rho (Ah) g$。除以底面积 $A$ 得到表压:

$$ P = \frac{\rho A h g}{A} = \rho g h = w h. $$

由帕斯卡定理(Pascal's principle),该压强向各方向均等作用,因此对同一深度的竖直墙面施加相同大小的压力。

Worked Example 2.2: force on a triangular gate (width varies with depth)例题 2.2:三角形闸门上的静水压力(宽度随深度变化)

A vertical gate is an isosceles triangle with horizontal top edge $4\,\text{m}$ wide and apex pointing down, total height $3\,\text{m}$. Its top edge lies at the water surface. Find the hydrostatic force ($w = 9800\,\text{N/m}^3$). Let $h$ measure depth below the surface, $0 \le h \le 3$.

The triangle narrows linearly from width $4$ at $h=0$ to width $0$ at $h=3$, so the strip width is $L(h) = 4\big(1 - \tfrac{h}{3}\big) = \tfrac{4}{3}(3 - h)$. The strip at depth $h$ feels pressure $wh$ and has area $L(h)\,dh$:

$$ F = \int_0^3 w\,h\cdot \tfrac{4}{3}(3 - h)\,dh = \frac{4w}{3}\int_0^3 \big(3h - h^2\big)\,dh. $$ $$ \int_0^3 \big(3h - h^2\big)\,dh = \Big[\tfrac{3h^2}{2} - \tfrac{h^3}{3}\Big]_0^3 = \tfrac{27}{2} - 9 = \tfrac{9}{2}. $$ $$ F = \frac{4(9800)}{3}\cdot \frac{9}{2} = 4(9800)\cdot \frac{3}{2} = 58800\,\text{N}. $$

The narrowing toward the bottom (where pressure is largest) keeps the force modest compared with a $4\,\text{m}$-wide rectangle of the same height.

一个竖直闸门为等腰三角形,顶部水平边宽 $4\,\text{m}$,顶点朝下,总高 $3\,\text{m}$,顶部边缘位于水面处。求静水压力($w = 9800\,\text{N/m}^3$)。设 $h$ 为距水面深度,$0 \le h \le 3$。

三角形从 $h=0$ 时宽 $4$ 线性缩小到 $h=3$ 时宽 $0$,故条宽为 $L(h) = \tfrac{4}{3}(3 - h)$。深度 $h$ 处的水平条受压强 $wh$,面积 $L(h)\,dh$:

$$ F = \int_0^3 w\,h\cdot \tfrac{4}{3}(3 - h)\,dh = \frac{4w}{3}\int_0^3 \big(3h - h^2\big)\,dh. $$ $$ \int_0^3 \big(3h - h^2\big)\,dh = \Big[\tfrac{3h^2}{2} - \tfrac{h^3}{3}\Big]_0^3 = \tfrac{27}{2} - 9 = \tfrac{9}{2}. $$ $$ F = \frac{4(9800)}{3}\cdot \frac{9}{2} = 58800\,\text{N}. $$

底部越来越窄(而压强在底部最大),使得总力比同高度的 $4\,\text{m}$ 宽矩形更小。

Worked Example 2.3: a plate submerged below the surface例题 2.3:完全浸没于液面以下的圆形板

A circular window of radius $1\,\text{m}$ is set into the vertical wall of an aquarium so that its center is $5\,\text{m}$ below the surface. Find the force on the window ($w = 9800\,\text{N/m}^3$). Place the origin at the center of the circle and let $y$ run from $-1$ (bottom) to $1$ (top), measured upward.

A horizontal strip at height $y$ lies at depth $h = 5 - y$ below the surface. The circle $y^2 + z^2 = 1$ has half-width $\sqrt{1 - y^2}$, so the strip width is $L = 2\sqrt{1 - y^2}$:

$$ F = \int_{-1}^{1} w(5 - y)\,2\sqrt{1 - y^2}\,dy = 2w\Big[5\!\int_{-1}^{1}\!\sqrt{1-y^2}\,dy \;-\; \int_{-1}^{1}\! y\sqrt{1-y^2}\,dy\Big]. $$

The first integral is the area of a unit semicircle's double, $\int_{-1}^{1}\sqrt{1-y^2}\,dy = \tfrac{\pi}{2}$. The second integrand is odd, so it vanishes by symmetry. Hence

$$ F = 2w\Big[5\cdot \tfrac{\pi}{2} - 0\Big] = 5\pi w = 5\pi(9800) \approx 1.54\times 10^{5}\,\text{N}. $$

Notice the answer equals $w\cdot(\text{depth of centroid})\cdot(\text{area}) = 9800\cdot 5\cdot \pi$, a shortcut we justify next.

一个半径 $1\,\text{m}$ 的圆形观察窗安装在水族馆竖直墙上,圆心位于液面以下 $5\,\text{m}$。求圆窗上的静水压力($w = 9800\,\text{N/m}^3$)。以圆心为原点,$y$ 从 $-1$(底部)到 $1$(顶部),向上为正。

高度 $y$ 处的水平条位于深度 $h = 5 - y$。圆 $y^2 + z^2 = 1$ 的半宽为 $\sqrt{1-y^2}$,故条宽 $L = 2\sqrt{1-y^2}$:

$$ F = \int_{-1}^{1} w(5 - y)\,2\sqrt{1 - y^2}\,dy = 2w\Big[5\!\int_{-1}^{1}\!\sqrt{1-y^2}\,dy \;-\; \int_{-1}^{1}\! y\sqrt{1-y^2}\,dy\Big]. $$

第一个积分为单位半圆面积的两倍,$\int_{-1}^{1}\sqrt{1-y^2}\,dy = \tfrac{\pi}{2}$。第二个被积函数为奇函数,由对称性为零。因此:

$$ F = 2w\Big[5\cdot \tfrac{\pi}{2} - 0\Big] = 5\pi w = 5\pi(9800) \approx 1.54\times 10^{5}\,\text{N}. $$

注意结果等于 $w\cdot$(形心深度)$\cdot$(面积)$= 9800\cdot 5\cdot \pi$,这一捷径将在下文说明。

Common error. Using $F = wA$ with a single depth when the plate is not at constant depth, or forgetting that the depth and the integration variable can point in opposite directions. If you set up $y$ pointing up from the plate's center, then depth is $h = (\text{surface level}) - y$, not $h = y$. Sign errors here flip the integrand. A safe habit is to write the depth as an explicit function of your chosen variable and sanity-check it at the top and bottom of the plate before integrating.
常见错误。 当板不在恒定深度时,用单一深度套入 $F = wA$;或忘记深度与积分变量方向可能相反。若 $y$ 从板的中心向上,则深度为 $h = (\text{液面高度}) - y$,而非 $h = y$。符号错误会导致被积函数反号。一个安全的习惯是将深度显式写成所选变量的函数,并在积分前对板的顶部和底部做一下核验。
Centroid shortcut. For a flat plate fully submerged in a single fluid, the total force equals the pressure at the centroid times the area: $F = w\,\bar{h}\,A$, where $\bar{h}$ is the depth of the centroid. This is exactly why Worked Example 2.3 gave $5\pi w$. It works because $\int h\,dA = \bar{h}\,A$ is the definition of the centroid depth, but it fails the moment the plate spans two fluids or breaches the surface.
形心捷径。 对于完全浸没在单一流体中的平板,总静水压力等于形心(centroid)处压强乘以面积:$F = w\,\bar{h}\,A$,其中 $\bar{h}$ 为形心深度。这正是例题 2.3 得到 $5\pi w$ 的原因。其有效性来自 $\int h\,dA = \bar{h}\,A$(形心深度的定义),但一旦板跨越两种流体或露出液面,此捷径即失效。
On a vertical plate, the hydrostatic force integrand at depth $h$ is proportional to:竖直板上深度 $h$ 处的静水压力被积函数正比于:
2.1
a constant, independent of depth与深度无关的常数
$h^2$
$h$ times the strip width $L(h)$$h$ 乘以条宽 $L(h)$
$1/h$
Correct. The strip force is $w\,h\,L(h)\,dh$, so it scales as depth times local width.正确。水平条上的力为 $w\,h\,L(h)\,dh$,因此正比于深度乘以局部宽度。
Pressure grows linearly with depth and the strip area is $L(h)\,dh$, so the integrand is $w\,h\,L(h)$.压强随深度线性增大,条面积为 $L(h)\,dh$,故被积函数为 $w\,h\,L(h)$。

Moments and Center of Mass力矩与质心

Key idea. The center of mass is the balance point: the single location where the total mass could be concentrated without changing the system's turning tendency about any axis. The turning tendency of a mass about an axis is its moment, the product of mass and signed distance to the axis. The center of mass is the moment divided by the total mass.
核心思想。 质心(center of mass)是平衡点:将全部质量集中于此点,系统绕任意轴的转动趋势不变。质量绕某轴的转动趋势称为力矩,等于质量乘以到该轴的有符号距离。质心 = 力矩 / 总质量。
Discrete masses on a line直线上的离散质量
$$ \bar{x} = \frac{\sum_{i} m_i x_i}{\sum_{i} m_i} = \frac{M}{m} $$

The numerator $M = \sum m_i x_i$ is the moment about the origin; the denominator is the total mass. In two dimensions a system of point masses has moments about both axes, $M_y = \sum m_i x_i$ (about the $y$-axis) and $M_x = \sum m_i y_i$ (about the $x$-axis), and the center of mass is $(\bar{x}, \bar{y}) = (M_y/m,\, M_x/m)$.

分子 $M = \sum m_i x_i$ 是对原点的力矩,分母是总质量。在二维情形下,$M_y = \sum m_i x_i$(对 $y$ 轴),$M_x = \sum m_i y_i$(对 $x$ 轴),质心为 $(\bar{x}, \bar{y}) = (M_y/m,\, M_x/m)$。

A thin rod of variable density变密度细杆
$$ m = \int_a^b \rho(x)\,dx, \qquad \bar{x} = \frac{1}{m}\int_a^b x\,\rho(x)\,dx $$

For a continuous rod, the density $\rho(x)$ (mass per unit length) replaces the discrete masses, and the sums become integrals. The element of mass is $dm = \rho(x)\,dx$, contributing moment $x\,dm$.

对于连续细杆,线密度(单位长度质量)$\rho(x)$ 替代离散质量,求和变为积分(integral)。质量微元为 $dm = \rho(x)\,dx$,贡献力矩 $x\,dm$。

Worked Example 3.1: center of mass of a rod with linear density例题 3.1:线性密度细杆的质心

A rod occupies $0 \le x \le 2$ with density $\rho(x) = 1 + x$ (mass per unit length). Find its center of mass.

$$ m = \int_0^2 (1+x)\,dx = \Big[x + \tfrac{x^2}{2}\Big]_0^2 = 2 + 2 = 4. $$ $$ M = \int_0^2 x(1+x)\,dx = \int_0^2 (x + x^2)\,dx = \Big[\tfrac{x^2}{2} + \tfrac{x^3}{3}\Big]_0^2 = 2 + \tfrac{8}{3} = \tfrac{14}{3}. $$ $$ \bar{x} = \frac{M}{m} = \frac{14/3}{4} = \frac{7}{6}. $$

The balance point sits past the midpoint $x=1$, as expected since the rod is denser toward $x=2$.

细杆占据 $0 \le x \le 2$,密度 $\rho(x) = 1 + x$(单位长度质量)。求其质心。

$$ m = \int_0^2 (1+x)\,dx = \Big[x + \tfrac{x^2}{2}\Big]_0^2 = 4. $$ $$ M = \int_0^2 x(1+x)\,dx = \Big[\tfrac{x^2}{2} + \tfrac{x^3}{3}\Big]_0^2 = 2 + \tfrac{8}{3} = \tfrac{14}{3}. $$ $$ \bar{x} = \frac{M}{m} = \frac{14/3}{4} = \frac{7}{6}. $$

平衡点超过中点 $x=1$,符合预期,因为细杆向 $x=2$ 方向越来越密。

Worked Example 3.2: center of mass of a system of point masses in the plane例题 3.2:平面质点系的质心

Three masses sit in the plane: $m_1 = 2$ at $(1,1)$, $m_2 = 3$ at $(2,-1)$, and $m_3 = 5$ at $(-1,2)$. Find the center of mass.

Total mass $m = 2 + 3 + 5 = 10$. The moment about the $y$-axis uses the $x$-coordinates, the moment about the $x$-axis uses the $y$-coordinates:

$$ M_y = \sum m_i x_i = 2(1) + 3(2) + 5(-1) = 2 + 6 - 5 = 3. $$ $$ M_x = \sum m_i y_i = 2(1) + 3(-1) + 5(2) = 2 - 3 + 10 = 9. $$ $$ (\bar{x}, \bar{y}) = \Big(\frac{M_y}{m}, \frac{M_x}{m}\Big) = \Big(\frac{3}{10}, \frac{9}{10}\Big). $$

The heavy mass at $(-1,2)$ pulls the balance up and to the left, which matches $\bar{y} = 0.9$ being high and $\bar{x} = 0.3$ being modest.

三个质点:$m_1 = 2$ 在 $(1,1)$,$m_2 = 3$ 在 $(2,-1)$,$m_3 = 5$ 在 $(-1,2)$。求质心。

总质量 $m = 10$。对 $y$ 轴的力矩用 $x$ 坐标,对 $x$ 轴的力矩用 $y$ 坐标:

$$ M_y = 2(1) + 3(2) + 5(-1) = 3. $$ $$ M_x = 2(1) + 3(-1) + 5(2) = 9. $$ $$ (\bar{x}, \bar{y}) = \Big(\frac{3}{10}, \frac{9}{10}\Big). $$

$(-1,2)$ 处的较重质量将平衡点向左上方拉动,与 $\bar{y} = 0.9$ 偏高、$\bar{x} = 0.3$ 居中的结果一致。

Worked Example 3.3: a rod whose density is not monotone例题 3.3:密度非单调的细杆

A rod occupies $0 \le x \le \pi$ with density $\rho(x) = \sin x$. Find its mass and center of mass.

$$ m = \int_0^\pi \sin x\,dx = \big[-\cos x\big]_0^\pi = 1 - (-1) = 2. $$

For the moment use integration by parts, $\int x\sin x\,dx = -x\cos x + \sin x$:

$$ M = \int_0^\pi x\sin x\,dx = \big[-x\cos x + \sin x\big]_0^\pi = \big(-\pi(-1) + 0\big) - (0 + 0) = \pi. $$ $$ \bar{x} = \frac{M}{m} = \frac{\pi}{2}. $$

Even though the density rises then falls, the rod is symmetric about $x = \tfrac{\pi}{2}$, so the balance point lands exactly at the center. This is the symmetry principle reading off an answer that the integral confirms.

细杆占据 $0 \le x \le \pi$,密度 $\rho(x) = \sin x$。求其质量和质心。

$$ m = \int_0^\pi \sin x\,dx = \big[-\cos x\big]_0^\pi = 2. $$

求力矩用分部积分法,$\int x\sin x\,dx = -x\cos x + \sin x$:

$$ M = \int_0^\pi x\sin x\,dx = \big[-x\cos x + \sin x\big]_0^\pi = \pi. $$ $$ \bar{x} = \frac{M}{m} = \frac{\pi}{2}. $$

虽然密度先升后降,但细杆关于 $x = \tfrac{\pi}{2}$ 对称,平衡点恰好在中心处。这是对称性原理直接给出答案,而积分验证了它。

Going deeper: why the moment is additive (the lever-arm law)深入探讨:力矩为何可叠加(杠杆臂定律)

The defining property of the center of mass $\bar{x}$ is that the system balances on a fulcrum placed there: the total signed moment about $\bar{x}$ is zero. Write that condition and solve.

$$ \sum_i m_i (x_i - \bar{x}) = 0 \;\Longrightarrow\; \sum_i m_i x_i = \bar{x}\sum_i m_i \;\Longrightarrow\; \bar{x} = \frac{\sum_i m_i x_i}{\sum_i m_i}. $$

So the formula is not a definition pulled from the air; it is forced by the requirement that moments cancel at the balance point. Replacing the sum by an integral, the same algebra gives $\bar{x} = \frac{1}{m}\int x\,dm$ for a continuous body, because $\int (x - \bar{x})\,dm = 0$ has the identical solution. The additivity of moments, $M_{\text{whole}} = \sum M_{\text{parts}}$, is just the additivity of integrals, and it is what lets you find the centroid of a complicated shape by splitting it into pieces.

质心 $\bar{x}$ 的定义性质是:系统恰好在该点的支点上平衡,即关于 $\bar{x}$ 的有符号总力矩为零。写出该条件并求解:

$$ \sum_i m_i (x_i - \bar{x}) = 0 \;\Longrightarrow\; \bar{x} = \frac{\sum_i m_i x_i}{\sum_i m_i}. $$

因此公式并非凭空定义,而是由平衡点处力矩相消的要求所决定。将求和换为积分,同样的代数运算给出连续体的 $\bar{x} = \frac{1}{m}\int x\,dm$。力矩的可叠加性 $M_{\text{whole}} = \sum M_{\text{parts}}$ 就是积分的可加性,正是这一性质使得我们可以将复杂形状分解成各部分来求形心(centroid)。

Common error. Swapping which coordinate feeds which moment. The moment about the $y$-axis, $M_y$, is built from $x$-coordinates (distance to the $y$-axis), and $M_x$ is built from $y$-coordinates. Many students write $M_y = \sum m_i y_i$ by matching the subscript to the variable; that is backwards. The subscript names the axis you take the moment about, and distance to that axis is the perpendicular coordinate.
常见错误。 混淆哪个坐标用于哪个力矩。对 $y$ 轴的力矩 $M_y$ 用 $x$ 坐标(到 $y$ 轴的距离),$M_x$ 用 $y$ 坐标。很多学生将 $M_y$ 写成 $\sum m_i y_i$,将下标与变量一一对应——这是反的。下标表示所取力矩的轴,到该轴的距离才是垂直方向的坐标。
Two masses $m_1 = 3$ at $x=0$ and $m_2 = 1$ at $x=4$ sit on a line. Their center of mass is at:直线上两个质量:$m_1 = 3$ 在 $x=0$,$m_2 = 1$ 在 $x=4$。其质心位于:
3.1
$x = 1$
$x = 2$
$x = 3$
$x = 4$
Correct. $\bar{x} = \frac{3\cdot 0 + 1\cdot 4}{3+1} = \frac{4}{4} = 1$.正确。$\bar{x} = \frac{3\cdot 0 + 1\cdot 4}{3+1} = 1$。
Use $\bar{x}=\frac{\sum m_i x_i}{\sum m_i} = \frac{0+4}{4}=1$; the heavier mass at $0$ pulls the balance toward it.用 $\bar{x}=\frac{\sum m_i x_i}{\sum m_i} = \frac{0+4}{4}=1$;$x=0$ 处的较重质量将平衡点向其拉近。

The Centroid形心

Key idea. The centroid is the center of mass of a flat region of uniform density. Because the constant density cancels from numerator and denominator, the centroid depends only on geometry: it is the average position of the points of the region. For a region under a curve we slice into vertical strips and use the midpoint of each strip as its moment arm.
核心思想。 形心(centroid)是均匀密度平面区域的质心(center of mass)。由于常数密度在分子分母中约去,形心只取决于几何形状,即区域内各点位置的平均值。对曲线下的区域,将其切分为竖直条,以每条的中点作为力矩臂。
Centroid of the region under $y = f(x) \ge 0$ on $[a,b]$$[a,b]$ 上 $y = f(x) \ge 0$ 曲线下区域的形心
$$ \bar{x} = \frac{1}{A}\int_a^b x\,f(x)\,dx, \qquad \bar{y} = \frac{1}{A}\int_a^b \tfrac12\big[f(x)\big]^2\,dx $$

Here $A = \int_a^b f(x)\,dx$ is the area. The $\bar{y}$ formula uses $\tfrac12 f(x)$ because that is the height of the midpoint of the strip, which is where the strip's mass balances vertically. For a region between two curves $f$ (top) and $g$ (bottom), replace $f(x)$ by $f(x)-g(x)$ in the area and $\bar{x}$ integrands, and use $\tfrac12\big[f(x)^2 - g(x)^2\big]$ in the $\bar{y}$ integrand.

其中 $A = \int_a^b f(x)\,dx$ 为面积。$\bar{y}$ 公式中使用 $\tfrac12 f(x)$ 是因为那是竖直条中点的高度,即该条质量在竖直方向的平衡位置。对两曲线 $f$(上)和 $g$(下)之间的区域,在面积和 $\bar{x}$ 被积式中用 $f(x)-g(x)$ 替换 $f(x)$,$\bar{y}$ 被积式中用 $\tfrac12\big[f(x)^2 - g(x)^2\big]$。

Worked Example 4.1: centroid of a half-parabola region例题 4.1:半抛物线区域的形心

Find the centroid of the region under $y = x^2$ over $[0,1]$.

$$ A = \int_0^1 x^2\,dx = \tfrac13. $$ $$ \bar{x} = \frac{1}{A}\int_0^1 x\cdot x^2\,dx = 3\int_0^1 x^3\,dx = 3\cdot \tfrac14 = \tfrac34. $$ $$ \bar{y} = \frac{1}{A}\int_0^1 \tfrac12(x^2)^2\,dx = 3\cdot \tfrac12\int_0^1 x^4\,dx = \tfrac32\cdot \tfrac15 = \tfrac{3}{10}. $$

The centroid is $\big(\tfrac34, \tfrac{3}{10}\big)$, pulled right and low because the region is fat near $x=1$ and thin near $x=0$.

求 $[0,1]$ 上 $y = x^2$ 曲线下区域的形心。

$$ A = \int_0^1 x^2\,dx = \tfrac13. $$ $$ \bar{x} = 3\int_0^1 x^3\,dx = \tfrac34. \qquad \bar{y} = \tfrac32\int_0^1 x^4\,dx = \tfrac{3}{10}. $$

形心为 $\big(\tfrac34, \tfrac{3}{10}\big)$,偏右偏低,因为区域在 $x=1$ 附近较宽,在 $x=0$ 附近较窄。

Worked Example 4.2: centroid of a region between two curves例题 4.2:两条曲线之间区域的形心

Find the centroid of the region bounded above by $y = \sqrt{x}$ and below by $y = x$ on $[0,1]$.

On $[0,1]$, $\sqrt{x} \ge x$, so $f(x) = \sqrt{x}$ is the top and $g(x) = x$ is the bottom. The area is

$$ A = \int_0^1 \big(\sqrt{x} - x\big)\,dx = \Big[\tfrac{2}{3}x^{3/2} - \tfrac{x^2}{2}\Big]_0^1 = \tfrac{2}{3} - \tfrac12 = \tfrac{1}{6}. $$ $$ \bar{x} = \frac{1}{A}\int_0^1 x\big(\sqrt{x} - x\big)\,dx = 6\int_0^1 \big(x^{3/2} - x^2\big)\,dx = 6\Big[\tfrac{2}{5}x^{5/2} - \tfrac{x^3}{3}\Big]_0^1 = 6\big(\tfrac{2}{5} - \tfrac13\big) = 6\cdot \tfrac{1}{15} = \tfrac{2}{5}. $$ $$ \bar{y} = \frac{1}{A}\int_0^1 \tfrac12\big[(\sqrt{x})^2 - x^2\big]\,dx = 6\cdot \tfrac12\int_0^1 \big(x - x^2\big)\,dx = 3\Big[\tfrac{x^2}{2} - \tfrac{x^3}{3}\Big]_0^1 = 3\big(\tfrac12 - \tfrac13\big) = \tfrac12. $$

The centroid $\big(\tfrac25, \tfrac12\big)$ lies inside the sliver between the two curves, as it must.

求 $[0,1]$ 上 $y = \sqrt{x}$(上)与 $y = x$(下)所围区域的形心。

在 $[0,1]$ 上 $\sqrt{x} \ge x$。面积:

$$ A = \int_0^1 \big(\sqrt{x} - x\big)\,dx = \tfrac{2}{3} - \tfrac12 = \tfrac{1}{6}. $$ $$ \bar{x} = 6\int_0^1 \big(x^{3/2} - x^2\big)\,dx = 6\big(\tfrac{2}{5} - \tfrac13\big) = \tfrac{2}{5}. $$ $$ \bar{y} = 3\int_0^1 \big(x - x^2\big)\,dx = 3\big(\tfrac12 - \tfrac13\big) = \tfrac12. $$

形心 $\big(\tfrac25, \tfrac12\big)$ 位于两曲线之间的细长区域内,符合预期。

Worked Example 4.3: centroid of a quarter-disk by symmetry plus an integral例题 4.3:利用对称性和积分求四分之一圆盘的形心

Find the centroid of the quarter-disk $x^2 + y^2 \le 1$ with $x \ge 0,\ y \ge 0$.

By the symmetry of swapping $x$ and $y$, the centroid satisfies $\bar{x} = \bar{y}$, so we only compute one. The region is bounded above by $y = \sqrt{1 - x^2}$ on $[0,1]$, and its area is $A = \tfrac{\pi}{4}$.

$$ \bar{x} = \frac{1}{A}\int_0^1 x\sqrt{1 - x^2}\,dx = \frac{4}{\pi}\Big[-\tfrac13(1 - x^2)^{3/2}\Big]_0^1 = \frac{4}{\pi}\cdot \tfrac13 = \frac{4}{3\pi}. $$

So the centroid is $\big(\tfrac{4}{3\pi}, \tfrac{4}{3\pi}\big) \approx (0.42, 0.42)$, comfortably inside the quarter-disk and biased toward the bulk of the region near the corner at the origin.

求四分之一圆盘 $x^2 + y^2 \le 1$($x \ge 0,\ y \ge 0$)的形心。

由 $x$ 与 $y$ 互换的对称性,$\bar{x} = \bar{y}$,只需计算一个。上界为 $y = \sqrt{1-x^2}$,面积 $A = \tfrac{\pi}{4}$。

$$ \bar{x} = \frac{4}{\pi}\int_0^1 x\sqrt{1 - x^2}\,dx = \frac{4}{\pi}\cdot \tfrac13 = \frac{4}{3\pi}. $$

形心为 $\big(\tfrac{4}{3\pi}, \tfrac{4}{3\pi}\big) \approx (0.42, 0.42)$,位于四分之一圆盘内部,偏向原点附近质量集中的区域。

Common error. Using $\tfrac12\big[f(x) - g(x)\big]^2$ instead of $\tfrac12\big[f(x)^2 - g(x)^2\big]$ in the $\bar{y}$ integrand for a region between two curves. These are not equal. The correct expression comes from the midpoint height $\tfrac12(f + g)$ times the strip area $(f - g)$, which multiplies out to $\tfrac12(f^2 - g^2)$. Squaring the difference drops the cross term and gives the wrong centroid. When in doubt, derive the integrand from (moment arm)(strip area) rather than memorizing it.
常见错误。 在两曲线之间区域的 $\bar{y}$ 被积式中用 $\tfrac12\big[f(x) - g(x)\big]^2$ 代替 $\tfrac12\big[f(x)^2 - g(x)^2\big]$。两者不等。正确表达式来自竖直条中点高度 $\tfrac12(f + g)$ 乘以条面积 $(f - g)$,展开得 $\tfrac12(f^2 - g^2)$。对差值平方会丢失交叉项,导致形心错误。有疑问时,从(力矩臂)乘以(条面积)推导被积式,而不要死记。
Going deeper: the symmetry principle深入探讨:对称性原理

If a region is symmetric about a line $\ell$, then its centroid lies on $\ell$. The reason is a cancellation of moments: for every mass element at signed distance $+d$ from $\ell$ there is a mirror element at $-d$, so the total moment about $\ell$ is zero.

$$ M_{\ell} = \int (\text{signed distance})\,dm = 0 \implies \text{centroid on } \ell. $$

This lets you read off one coordinate of the centroid for free. A disk, a square, and an ellipse all have their centroid at their geometric center by two perpendicular symmetries.

若区域关于直线 $\ell$ 对称,则其形心(centroid)在 $\ell$ 上。原因是力矩相互抵消:对 $\ell$ 有符号距离 $+d$ 的每个质量微元,都有对应的 $-d$ 处的镜像微元,因此关于 $\ell$ 的总力矩为零。

$$ M_{\ell} = \int (\text{有符号距离})\,dm = 0 \implies \text{形心在 } \ell \text{ 上}. $$

这让我们可以免费读出形心的一个坐标。圆盘、正方形和椭圆都因两个垂直对称轴而使形心位于几何中心。

For the region under $y=f(x)\ge 0$, the correct $\bar{y}$ integrand uses:对于 $y=f(x)\ge 0$ 曲线下的区域,正确的 $\bar{y}$ 被积式为:
4.1
$x f(x)$
$f(x)$
$2 f(x)$
$\tfrac12 \big[f(x)\big]^2$
Correct. The vertical strip balances at its midpoint height $\tfrac12 f(x)$, giving the integrand $\tfrac12 f(x)^2$.正确。竖直条在中点高度 $\tfrac12 f(x)$ 处平衡,故被积式为 $\tfrac12 f(x)^2$。
The strip's vertical moment arm is its midpoint $\tfrac12 f(x)$ times its area $f(x)\,dx$, so the integrand is $\tfrac12 f(x)^2$.竖直条的力矩臂为中点 $\tfrac12 f(x)$ 乘以条面积 $f(x)\,dx$,故被积式为 $\tfrac12 f(x)^2$。

Average Value of a Function函数的平均值

Key idea. The average value of a continuous function on an interval generalizes the average of finitely many numbers. Replace the sum-over-count by an integral-over-length: total accumulation divided by the length of the interval. Geometrically it is the height of the rectangle on $[a,b]$ whose area equals the area under the curve.
核心思想。 连续函数在某区间上的平均值(average value)推广了有限个数取平均的概念。用积分除以区间长度代替求和除以个数:即总累积量除以区间长度。几何上,它是 $[a,b]$ 上一个矩形的高度,该矩形面积等于曲线下面积。
Average value on $[a,b]$$[a,b]$ 上的平均值
$$ f_{\text{avg}} = \frac{1}{b-a}\int_a^b f(x)\,dx $$

The Mean Value Theorem for Integrals guarantees that a continuous $f$ actually attains its average value: there is a point $c$ in $[a,b]$ with $f(c) = f_{\text{avg}}$. Equivalently, $\int_a^b f(x)\,dx = f(c)(b-a)$.

积分中值定理(Mean Value Theorem for Integrals)保证连续函数 $f$ 在区间上某处确实取到其平均值:存在 $c \in [a,b]$ 使得 $f(c) = f_{\text{avg}}$,即 $\int_a^b f(x)\,dx = f(c)(b-a)$。

Worked Example 5.1: average value of a quadratic例题 5.1:二次函数的平均值

Find the average value of $f(x) = x^2$ on $[0,3]$, and a point $c$ where it is attained.

$$ f_{\text{avg}} = \frac{1}{3-0}\int_0^3 x^2\,dx = \frac{1}{3}\cdot \frac{27}{3} = 3. $$

Solve $c^2 = 3$ for $c$ in $[0,3]$: $c = \sqrt{3} \approx 1.73$, which lies in the interval as the theorem promises.

求 $f(x) = x^2$ 在 $[0,3]$ 上的平均值,并找出其达到平均值的点 $c$。

$$ f_{\text{avg}} = \frac{1}{3}\int_0^3 x^2\,dx = \frac{1}{3}\cdot \frac{27}{3} = 3. $$

在 $[0,3]$ 中解 $c^2 = 3$:$c = \sqrt{3} \approx 1.73$,位于区间内,符合定理的保证。

Worked Example 5.2: average value of an exponential and a comparison to the endpoints例题 5.2:指数函数的平均值及与端点值的比较

Find the average value of $f(x) = e^{-x}$ on $[0, 2]$.

$$ f_{\text{avg}} = \frac{1}{2 - 0}\int_0^2 e^{-x}\,dx = \frac{1}{2}\big[-e^{-x}\big]_0^2 = \frac{1}{2}\big(1 - e^{-2}\big) \approx \frac{1}{2}(0.8647) \approx 0.432. $$

Sanity check: $f$ runs from $f(0) = 1$ down to $f(2) = e^{-2} \approx 0.135$, so the average must lie strictly between $0.135$ and $1$, and $0.432$ does. Because $e^{-x}$ is convex, the average sits below the midpoint-of-endpoints value $\tfrac12(1 + 0.135) = 0.568$, which is a useful qualitative check.

求 $f(x) = e^{-x}$ 在 $[0, 2]$ 上的平均值。

$$ f_{\text{avg}} = \frac{1}{2}\int_0^2 e^{-x}\,dx = \frac{1}{2}\big(1 - e^{-2}\big) \approx 0.432. $$

验证:$f$ 从 $f(0)=1$ 降到 $f(2) \approx 0.135$,平均值必须严格介于两者之间,$0.432$ 满足。由于 $e^{-x}$ 是凸函数,平均值低于端点均值 $\tfrac12(1+0.135) = 0.568$,这是一个有用的定性检验。

Worked Example 5.3: average value over a velocity profile (average speed)例题 5.3:速度函数的平均值(平均速度)

A particle moves with velocity $v(t) = 3t^2$ on $[0, 2]$ (meters per second). Find its average velocity, and confirm it equals total displacement over elapsed time.

$$ v_{\text{avg}} = \frac{1}{2 - 0}\int_0^2 3t^2\,dt = \frac{1}{2}\big[t^3\big]_0^2 = \frac{1}{2}(8) = 4\,\text{m/s}. $$

The displacement is $\int_0^2 3t^2\,dt = 8\,\text{m}$ over $2\,\text{s}$, so displacement over time is $\tfrac{8}{2} = 4\,\text{m/s}$, matching. This is the physical content of the average value: it is the constant rate that would produce the same total accumulation over the same interval.

质点以速度 $v(t) = 3t^2$ 在 $[0, 2]$(米/秒)运动。求其平均速度,并验证其等于总位移除以时间。

$$ v_{\text{avg}} = \frac{1}{2}\int_0^2 3t^2\,dt = \frac{1}{2}(8) = 4\,\text{m/s}. $$

位移为 $\int_0^2 3t^2\,dt = 8\,\text{m}$,用时 $2\,\text{s}$,故位移除以时间 $= 4\,\text{m/s}$,与上一致。这正是平均值的物理意义:等效的常速率,能在相同区间内产生相同的总累积量。

Common error. Forgetting the $\tfrac{1}{b-a}$ factor and reporting the raw integral as the average, or averaging the endpoint values $\tfrac12\big[f(a) + f(b)\big]$ as if $f$ were linear. The integral average weights every point of the interval by how long the function spends there, not just the two ends. For a nonlinear $f$ the two answers differ, as Worked Example 5.2 shows. Always divide the accumulated integral by the length of the interval.
常见错误。 忘记乘以 $\tfrac{1}{b-a}$,直接将原始积分当作平均值;或将端点均值 $\tfrac12\big[f(a)+f(b)\big]$ 当作平均值(仿佛 $f$ 是线性函数)。积分平均值对区间每个点都加权,而不仅仅是两端。对非线性 $f$,两种答案不同,例题 5.2 就说明了这一点。务必将积分除以区间长度。
Going deeper: proof of the Mean Value Theorem for Integrals深入探讨:积分中值定理的证明

Let $f$ be continuous on $[a,b]$. By the Extreme Value Theorem it attains a minimum $m$ and maximum $Mx$ there. Then $m \le f(x) \le Mx$, and integrating preserves the inequalities:

$$ m(b-a) \le \int_a^b f(x)\,dx \le Mx(b-a). $$

Dividing by $b-a$ shows the average value $f_{\text{avg}}$ lies between $m$ and $Mx$. Since $f$ is continuous, the Intermediate Value Theorem provides a point $c$ with $f(c) = f_{\text{avg}}$.

设 $f$ 在 $[a,b]$ 上连续。由极值定理(Extreme Value Theorem),$f$ 在此取得最小值 $m$ 和最大值 $Mx$。则 $m \le f(x) \le Mx$,积分保持不等式:

$$ m(b-a) \le \int_a^b f(x)\,dx \le Mx(b-a). $$

两边除以 $b-a$ 可知平均值 $f_{\text{avg}}$ 介于 $m$ 和 $Mx$ 之间。由于 $f$ 连续,介值定理(Intermediate Value Theorem)给出某点 $c$ 使得 $f(c) = f_{\text{avg}}$。

The average value of $f(x)=\sin x$ on $[0,\pi]$ is:$f(x)=\sin x$ 在 $[0,\pi]$ 上的平均值为:
5.1
$0$
$\dfrac{2}{\pi}$
$\dfrac{1}{\pi}$
$\dfrac{\pi}{2}$
Correct. $\frac{1}{\pi}\int_0^\pi \sin x\,dx = \frac{1}{\pi}\big[-\cos x\big]_0^\pi = \frac{1}{\pi}(1+1) = \frac{2}{\pi}$.正确。$\frac{1}{\pi}\int_0^\pi \sin x\,dx = \frac{1}{\pi}(2) = \frac{2}{\pi}$。
Compute $\frac{1}{\pi}\int_0^\pi \sin x\,dx = \frac{1}{\pi}(2) = \frac{2}{\pi}$. The integral is $2$, not $0$.计算 $\frac{1}{\pi}\int_0^\pi \sin x\,dx = \frac{2}{\pi}$。积分值为 $2$,不为 $0$。

Probability Density Functions概率密度函数

Key idea. A continuous random variable does not assign positive probability to any single value; instead, probability is spread out as area under a density curve. A probability density function $f$ is nonnegative with total area $1$, and the probability that the variable lands in an interval is the integral of $f$ over that interval.
核心思想。 连续随机变量不对任何单个值赋予正概率;概率以密度曲线下面积的形式分布。概率密度函数(probability density function)$f$ 非负,总面积为 $1$,变量落在某区间的概率是 $f$ 在该区间上的积分(integral)。
Defining properties and interval probability定义性质与区间概率
$$ f(x) \ge 0, \qquad \int_{-\infty}^{\infty} f(x)\,dx = 1, \qquad P(a \le X \le b) = \int_a^b f(x)\,dx $$

The mean (expected value) is the balance point of the density, exactly the center-of-mass idea applied to probability. The mean answers what value $X$ takes on average over many trials.

均值(期望值,expected value)是密度的平衡点,正是质心思想在概率上的应用。均值回答了 $X$ 在大量试验中平均取何值。

Mean of a continuous random variable连续随机变量的均值
$$ \mu = \int_{-\infty}^{\infty} x\,f(x)\,dx $$

A common model is the exponential density $f(x) = \tfrac{1}{\lambda} e^{-x/\lambda}$ for $x \ge 0$ (and $0$ otherwise), used for waiting times; its mean is $\mu = \lambda$.

常见模型是指数密度:$f(x) = \tfrac{1}{\lambda} e^{-x/\lambda}$($x \ge 0$,否则为 $0$),用于等待时间建模;其均值 $\mu = \lambda$。

Worked Example 6.1: normalizing and using a density例题 6.1:归一化并使用密度函数

For what constant $k$ is $f(x) = kx$ on $[0,2]$ (and $0$ elsewhere) a valid density? Then find $P(0 \le X \le 1)$ and the mean.

Normalize: $\int_0^2 kx\,dx = k\cdot 2 = 1$, so $k = \tfrac12$. Then

$$ P(0 \le X \le 1) = \int_0^1 \tfrac12 x\,dx = \tfrac12\cdot \tfrac12 = \tfrac14. $$ $$ \mu = \int_0^2 x\cdot \tfrac12 x\,dx = \tfrac12\int_0^2 x^2\,dx = \tfrac12\cdot \tfrac{8}{3} = \tfrac{4}{3}. $$

对 $[0,2]$ 上的 $f(x) = kx$(其他处为 $0$),$k$ 取何值才是合法的密度函数?然后求 $P(0 \le X \le 1)$ 和均值。

归一化:$\int_0^2 kx\,dx = k\cdot 2 = 1$,故 $k = \tfrac12$。则:

$$ P(0 \le X \le 1) = \int_0^1 \tfrac12 x\,dx = \tfrac14. $$ $$ \mu = \int_0^2 x\cdot \tfrac12 x\,dx = \tfrac12\cdot \tfrac{8}{3} = \tfrac{4}{3}. $$
Worked Example 6.2: the exponential waiting time, mean and a tail probability例题 6.2:指数分布等待时间,均值与尾部概率

A call center's waiting time $X$ (minutes) follows the exponential density $f(x) = \tfrac{1}{\lambda}e^{-x/\lambda}$ for $x \ge 0$ with mean $\lambda = 5$. Verify it integrates to $1$, confirm the mean, and find $P(X > 10)$.

Normalization, with $\lambda = 5$:

$$ \int_0^\infty \tfrac{1}{5}e^{-x/5}\,dx = \big[-e^{-x/5}\big]_0^\infty = 0 - (-1) = 1. $$

The mean, by integration by parts ($u = x$, $dv = \tfrac15 e^{-x/5}dx$):

$$ \mu = \int_0^\infty x\cdot \tfrac{1}{5}e^{-x/5}\,dx = \big[-x e^{-x/5}\big]_0^\infty + \int_0^\infty e^{-x/5}\,dx = 0 + 5 = 5. $$

The tail probability that a caller waits more than $10$ minutes:

$$ P(X > 10) = \int_{10}^\infty \tfrac{1}{5}e^{-x/5}\,dx = \big[-e^{-x/5}\big]_{10}^\infty = e^{-2} \approx 0.135. $$

So about $13.5\%$ of callers wait beyond two mean wait times, a hallmark of the memoryless exponential.

某呼叫中心等待时间 $X$(分钟)服从指数分布,密度 $f(x) = \tfrac{1}{\lambda}e^{-x/\lambda}$($x \ge 0$),均值 $\lambda = 5$。验证归一化,确认均值,并求 $P(X > 10)$。

归一化($\lambda = 5$):

$$ \int_0^\infty \tfrac{1}{5}e^{-x/5}\,dx = \big[-e^{-x/5}\big]_0^\infty = 1. $$

均值(分部积分,$u = x$,$dv = \tfrac15 e^{-x/5}dx$):

$$ \mu = \int_0^\infty x\cdot \tfrac{1}{5}e^{-x/5}\,dx = 0 + 5 = 5. $$

等待超过 $10$ 分钟的尾部概率:

$$ P(X > 10) = \big[-e^{-x/5}\big]_{10}^\infty = e^{-2} \approx 0.135. $$

约 $13.5\%$ 的来电者等待时间超过两倍均值,这是指数分布无记忆性的体现。

Worked Example 6.3: finding the median of a density例题 6.3:求密度函数的中位数

For the density $f(x) = \tfrac12 x$ on $[0,2]$, find the median $m$, the value with half the probability on each side.

The median solves $\int_0^m \tfrac12 x\,dx = \tfrac12$:

$$ \tfrac12\cdot \tfrac{m^2}{2} = \tfrac12 \;\Longrightarrow\; \tfrac{m^2}{4} = \tfrac12 \;\Longrightarrow\; m^2 = 2 \;\Longrightarrow\; m = \sqrt{2} \approx 1.41. $$

Compare with the mean $\mu = \tfrac43 \approx 1.33$ from Worked Example 6.1. Here the median exceeds the mean. Because the density rises toward the right, the mass is pushed right, but the long-tail intuition (mean above median) applies to right-skewed densities; this density is left-light and right-heavy in a way that puts the median above the mean. The lesson is to compute, not to assume an ordering.

对密度 $f(x) = \tfrac12 x$($[0,2]$ 上),求中位数 $m$(两侧各有一半概率的值)。

中位数满足 $\int_0^m \tfrac12 x\,dx = \tfrac12$:

$$ \tfrac{m^2}{4} = \tfrac12 \;\Longrightarrow\; m = \sqrt{2} \approx 1.41. $$

与例题 6.1 的均值 $\mu = \tfrac43 \approx 1.33$ 比较:中位数大于均值。由于密度向右递增,质量偏右,但"均值高于中位数"的直觉适用于右偏分布;本密度的中位数反而高于均值。教训是:要计算,不要假设两者的大小关系。

Going deeper: why $P(X = a) = 0$ for a continuous variable深入探讨:为何连续变量的 $P(X = a) = 0$

For a continuous random variable, the probability of any single exact value is zero. Formally, for any $a$,

$$ P(X = a) = \lim_{\varepsilon \to 0^+} \int_{a-\varepsilon}^{a+\varepsilon} f(x)\,dx = 0, $$

because the integral of a bounded $f$ over an interval of length $2\varepsilon$ is at most $(\max f)\,2\varepsilon \to 0$. This is why $P(a \le X \le b) = P(a < X < b)$ for continuous variables: including or excluding the endpoints changes the probability by zero. It also explains why $f(x)$ is a density, not a probability: $f(x)$ can exceed $1$, and only its integral over an interval carries probabilistic meaning. This is the precise sense in which continuous probability is area, not height.

对于连续随机变量,任何单个精确值的概率为零。形式上,对任意 $a$:

$$ P(X = a) = \lim_{\varepsilon \to 0^+} \int_{a-\varepsilon}^{a+\varepsilon} f(x)\,dx = 0, $$

因为有界 $f$ 在长度 $2\varepsilon$ 的区间上的积分至多为 $(\max f)\,2\varepsilon \to 0$。这就是为什么对连续变量有 $P(a \le X \le b) = P(a < X < b)$:端点的包含与否不改变概率。这也解释了为何 $f(x)$ 是密度而非概率:$f(x)$ 可以超过 $1$,只有 $f$ 在区间上的积分才有概率意义。这是连续概率"是面积而非高度"的精确含义。

Common error. Reading $f(x)$ as a probability and concluding it must be at most $1$, or computing $P(X = a)$ as $f(a)$. A density's height has units of probability per unit length and can be arbitrarily large; only $\int_a^b f\,dx$ is a probability. A second frequent mistake is forgetting to normalize: a function shaped like a density is not a density until $\int f = 1$, which is exactly what fixes the constant $k$ in Worked Example 6.1.
常见错误。 将 $f(x)$ 视为概率并得出它必须不超过 $1$ 的结论,或将 $P(X = a)$ 计算为 $f(a)$。密度的高度单位是单位长度的概率,可以任意大;只有 $\int_a^b f\,dx$ 才是概率。第二个常见错误是忘记归一化:形状像密度的函数在 $\int f = 1$ 之前不是密度,这正是例题 6.1 中确定常数 $k$ 的步骤。
Which property must every probability density function $f$ satisfy?每个概率密度函数(probability density function)$f$ 必须满足哪个性质?
6.1
$f(x) \le 1$ for all $x$对所有 $x$ 有 $f(x) \le 1$
$f$ is increasing$f$ 单调递增
$f \ge 0$ and $\int_{-\infty}^{\infty} f(x)\,dx = 1$$f \ge 0$ 且 $\int_{-\infty}^{\infty} f(x)\,dx = 1$
$\int_{-\infty}^{\infty} f(x)\,dx = 0$$\int_{-\infty}^{\infty} f(x)\,dx = 0$
Correct. A density is nonnegative and its total integral is $1$; $f(x)$ itself may exceed $1$.正确。密度函数非负,且总积分为 $1$;$f(x)$ 本身可以超过 $1$。
The defining conditions are $f \ge 0$ and total area $1$. A density can exceed $1$ in height as long as the area is $1$.定义性质为 $f \ge 0$ 且总面积为 $1$。只要面积为 $1$,密度高度可以超过 $1$。

Going Deeper深入探讨

Key idea. Every application in this unit is the same idea in different clothing: slice, approximate a small piece by a constant, multiply, and integrate. Work multiplies force by distance; hydrostatic force multiplies pressure by area; moment multiplies mass by distance; expected value multiplies value by probability. Recognizing the shared skeleton turns a long list of formulas into one method.
核心思想。 本单元的每个应用都是同一思想的不同包装:切片、用常数近似小片段、相乘、积分(integrate)。功 = 力 × 距离;静水压力 = 压强 × 面积;力矩 = 质量 × 距离;期望值 = 取值 × 概率。认识到这一共同框架,便将一长串公式化为一种方法。
The common Riemann-sum template通用黎曼和(Riemann sum)模板
$$ \text{Quantity} = \lim_{n\to\infty}\sum_{i=1}^{n} (\text{local rate})\cdot \Delta_i = \int_a^b (\text{local rate})\,dx $$

The art is identifying the correct local rate and the correct variable of integration. For pumping and hydrostatic problems the variable is usually vertical; for work along a path it is the displacement; for centroids and expectations it is the coordinate carrying the moment arm.

关键在于识别正确的局部速率和正确的积分变量。抽水和静水压力问题通常用竖向坐标;沿路径做功用位移;求形心和期望值用承载力矩臂的坐标。

Worked Example 7.1: variance from the density例题 7.1:由密度函数求方差

Once the mean $\mu$ is known, the variance measures spread: $\sigma^2 = \int (x-\mu)^2 f(x)\,dx$. For the density $f(x) = \tfrac12 x$ on $[0,2]$ with $\mu = \tfrac43$:

$$ \sigma^2 = \int_0^2 \big(x - \tfrac43\big)^2 \tfrac12 x\,dx. $$

Expand using $E[X^2] = \int_0^2 x^2\cdot \tfrac12 x\,dx = \tfrac12\cdot \tfrac{16}{4} = 2$, then $\sigma^2 = E[X^2] - \mu^2 = 2 - \tfrac{16}{9} = \tfrac{2}{9}$.

知道均值 $\mu$ 后,方差衡量分散程度:$\sigma^2 = \int (x-\mu)^2 f(x)\,dx$。对密度 $f(x) = \tfrac12 x$($[0,2]$ 上),$\mu = \tfrac43$:

$$ \sigma^2 = \int_0^2 \big(x - \tfrac43\big)^2 \tfrac12 x\,dx. $$

利用 $E[X^2] = \int_0^2 x^2\cdot \tfrac12 x\,dx = 2$,则 $\sigma^2 = E[X^2] - \mu^2 = 2 - \tfrac{16}{9} = \tfrac{2}{9}$。

Worked Example 7.2: Pappus computes a hard volume in one line例题 7.2:帕普斯定理一行求难算的体积

The region under $y = x^2$ over $[0,1]$ is revolved about the line $x = 2$. Find the volume using Pappus, then note the alternative.

From Worked Example 4.1 the centroid is $\big(\tfrac34, \tfrac{3}{10}\big)$ and the area is $A = \tfrac13$. Revolving about the vertical line $x = 2$, the centroid is at distance $\bar{d} = 2 - \tfrac34 = \tfrac54$ from the axis. Pappus gives

$$ V = 2\pi\,\bar{d}\,A = 2\pi\cdot \tfrac54\cdot \tfrac13 = \frac{5\pi}{6}. $$

The shell-method integral $V = \int_0^1 2\pi(2 - x)x^2\,dx = 2\pi\int_0^1 (2x^2 - x^3)\,dx = 2\pi\big(\tfrac23 - \tfrac14\big) = 2\pi\cdot \tfrac{5}{12} = \tfrac{5\pi}{6}$ agrees, confirming the shortcut and tying Section 4 to solids of revolution.

将 $[0,1]$ 上 $y = x^2$ 曲线下的区域绕直线 $x = 2$ 旋转,用帕普斯定理(Pappus's theorem)求体积。

由例题 4.1,形心为 $\big(\tfrac34, \tfrac{3}{10}\big)$,面积 $A = \tfrac13$。绕竖直线 $x = 2$,形心到轴的距离 $\bar{d} = 2 - \tfrac34 = \tfrac54$。帕普斯定理给出:

$$ V = 2\pi\,\bar{d}\,A = 2\pi\cdot \tfrac54\cdot \tfrac13 = \frac{5\pi}{6}. $$

壳层法积分 $V = \int_0^1 2\pi(2-x)x^2\,dx = \tfrac{5\pi}{6}$ 与之吻合,验证了捷径,同时将第 4 节与旋转体联系起来。

Worked Example 7.3: the unit's template applied to a brand-new quantity例题 7.3:将单元模板应用于全新的量

A thin wire bent along $y = \sqrt{x}$ from $x=0$ to $x=4$ carries charge with linear density $\rho(x) = x$ per unit arc length. Set up the total charge using the slice-and-sum template.

The local quantity is (charge per unit length)(length of the slice). A slice of the curve has arc-length element $ds = \sqrt{1 + (y')^2}\,dx$, and $y' = \tfrac{1}{2\sqrt{x}}$, so $ds = \sqrt{1 + \tfrac{1}{4x}}\,dx$. The total charge is

$$ Q = \int_0^4 \rho(x)\,ds = \int_0^4 x\sqrt{1 + \frac{1}{4x}}\,dx = \int_0^4 x\cdot \frac{\sqrt{4x + 1}}{2\sqrt{x}}\,dx = \frac{1}{2}\int_0^4 \sqrt{x}\,\sqrt{4x+1}\,dx. $$

The point is not the messy antiderivative but the setup: identify the local rate (here $\rho\,ds$), pick the variable, and integrate. Every application in this unit is one instance of this single move.

一根细铁丝沿 $y = \sqrt{x}$ 弯曲($x$ 从 $0$ 到 $4$),单位弧长(arc length)的线电荷密度为 $\rho(x) = x$。用切片求和模板建立总电荷的积分式。

局部量为(单位长度电荷)乘以(切片长度)。曲线的弧长(arc length)微元 $ds = \sqrt{1+(y')^2}\,dx$,$y' = \tfrac{1}{2\sqrt{x}}$,故 $ds = \sqrt{1+\tfrac{1}{4x}}\,dx$。总电荷:

$$ Q = \int_0^4 \rho(x)\,ds = \frac{1}{2}\int_0^4 \sqrt{x}\,\sqrt{4x+1}\,dx. $$

重点不在于混乱的原函数,而在于建立式子:识别局部速率(此处为 $\rho\,ds$),选取变量,积分。本单元的每个应用都是这一步骤的一个实例。

Common error. Reaching for a memorized formula instead of building the element. When a problem mixes ideas, for example charge along a curve, or work against a position-dependent and time-dependent force, no single stored formula applies. The reliable method is always the same: name the slice, write (local rate)(size of slice) for one slice, then integrate over the correct variable. Memorized special cases are shortcuts for the common geometries, not the method itself.
常见错误。 遇到问题就套记忆中的公式,而不是建立微元。当问题混合多个思想时(例如曲线上的电荷,或与位置和时间均相关的力做功),没有任何一个存储的公式可以直接适用。可靠的方法永远相同:命名切片,对一个切片写出(局部速率)乘以(切片大小),然后对正确的变量积分。记忆的特殊情形是常见几何的捷径,而非方法本身。
Going deeper: Pappus's theorem links centroids to volumes深入探讨:帕普斯定理将形心与体积联系起来

Pappus's theorem states that if a plane region of area $A$ is revolved about an external axis in its plane, the volume of the solid of revolution equals the area times the distance traveled by the centroid:

$$ V = 2\pi\,\bar{d}\,A, $$

where $\bar{d}$ is the distance from the centroid to the axis. For a disk of radius $r$ centered at distance $R$ from the axis ($R > r$), the centroid is the center, $\bar{d} = R$, and $A = \pi r^2$, giving the torus volume

$$ V = 2\pi R\cdot \pi r^2 = 2\pi^2 R r^2. $$

This converts a hard volume integral into a centroid lookup, tying Section 4 to the methods of solids of revolution.

帕普斯定理(Pappus's theorem)指出:面积为 $A$ 的平面区域绕平面内的外部轴旋转,所得旋转体的体积等于面积乘以形心走过的距离:

$$ V = 2\pi\,\bar{d}\,A, $$

其中 $\bar{d}$ 为形心(centroid)到轴的距离。对半径为 $r$、圆心距轴 $R$($R>r$)的圆盘,$\bar{d} = R$,$A = \pi r^2$,给出圆环体(torus)的体积:

$$ V = 2\pi R\cdot \pi r^2 = 2\pi^2 R r^2. $$

这将困难的体积积分转化为形心查表,将第 4 节与旋转体方法联系起来。

By Pappus's theorem, revolving a region of area $A$ whose centroid is distance $\bar{d}$ from the axis produces a solid of volume:由帕普斯定理,将面积为 $A$、形心距轴 $\bar{d}$ 的区域绕轴旋转所得旋转体的体积为:
7.1
$2\pi\,\bar{d}\,A$
$\pi\,\bar{d}^2 A$
$\bar{d}\,A$
$2\pi\,\bar{d}^2$
Correct. The centroid travels a circle of circumference $2\pi\bar{d}$, so $V = 2\pi\bar{d}\,A$.正确。形心走过周长为 $2\pi\bar{d}$ 的圆,故 $V = 2\pi\bar{d}\,A$。
The centroid traces a circle of circumference $2\pi\bar{d}$; multiplying by the area gives $V = 2\pi\bar{d}\,A$.形心走过周长 $2\pi\bar{d}$ 的圆;乘以面积得 $V = 2\pi\bar{d}\,A$。

Flashcards闪卡

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Work done by a variable force $F(x)$ from $a$ to $b$变力 $F(x)$ 从 $a$ 到 $b$ 做的功
$$W=\int_a^b F(x)\,dx$$ Force times distance, accumulated.$$W=\int_a^b F(x)\,dx$$ 力与位移之积的累积。
Hooke's law and spring work胡克定律与弹簧做功
$F(x)=kx$, so $W=\int_0^a kx\,dx = \tfrac12 k a^2$.$F(x)=kx$,故 $W=\int_0^a kx\,dx = \tfrac12 k a^2$。
Pressure at depth $h$ in a fluid流体深度 $h$ 处的压强
$$P=\rho g h = w h$$ where $w$ is the weight density.$$P=\rho g h = w h$$,$w$ 为重度。
Hydrostatic force on a vertical plate竖直板上的静水压力
$$F=\int_a^b w\,h(y)\,L(y)\,dy$$ pressure times strip area, summed.$$F=\int_a^b w\,h(y)\,L(y)\,dy$$,压强乘以条面积后求和。
Center of mass of point masses on a line直线上点质量的质心
$$\bar{x}=\frac{\sum m_i x_i}{\sum m_i}=\frac{M}{m}$$ moment over total mass.$$\bar{x}=\frac{\sum m_i x_i}{\sum m_i}=\frac{M}{m}$$,力矩除以总质量。
Center of mass of a rod with density $\rho(x)$密度 $\rho(x)$ 细杆的质心
$$\bar{x}=\frac{1}{m}\int_a^b x\,\rho(x)\,dx,\quad m=\int_a^b \rho(x)\,dx$$
Centroid of the region under $y=f(x)$$y=f(x)$ 曲线下区域的形心
$$\bar{x}=\frac{1}{A}\int_a^b x f(x)\,dx,\ \ \bar{y}=\frac{1}{A}\int_a^b \tfrac12 f(x)^2\,dx$$
Symmetry principle for centroids形心的对称性原理
If a region is symmetric about a line, its centroid lies on that line.若区域关于某直线对称,则其形心在该直线上。
Average value of $f$ on $[a,b]$$f$ 在 $[a,b]$ 上的平均值
$$f_{\text{avg}}=\frac{1}{b-a}\int_a^b f(x)\,dx$$
Mean Value Theorem for Integrals积分中值定理
Some $c$ in $[a,b]$ has $f(c)=f_{\text{avg}}$, i.e. $\int_a^b f = f(c)(b-a)$.存在 $c\in[a,b]$ 使 $f(c)=f_{\text{avg}}$,即 $\int_a^b f = f(c)(b-a)$。
Defining properties of a probability density $f$概率密度函数 $f$ 的定义性质
$$f\ge 0,\quad \int_{-\infty}^{\infty} f\,dx = 1,\quad P(a\le X\le b)=\int_a^b f\,dx$$
Mean of a continuous random variable连续随机变量的均值
$$\mu=\int_{-\infty}^{\infty} x\,f(x)\,dx$$ the balance point of the density.$$\mu=\int_{-\infty}^{\infty} x\,f(x)\,dx$$,密度的平衡点。

Unit Quiz单元测验

A force $F(x) = 6x$ newtons acts along the $x$-axis. The work done moving from $x=0$ to $x=2$ meters is:力 $F(x) = 6x$ 牛顿沿 $x$ 轴作用。从 $x=0$ 到 $x=2$ 米所做的功为:
Q1
$6\,\text{J}$
$24\,\text{J}$
$12\,\text{J}$
$3\,\text{J}$
Correct. $W=\int_0^2 6x\,dx = 3x^2\big|_0^2 = 12\,\text{J}$.正确。$W=\int_0^2 6x\,dx = 12\,\text{J}$。
Integrate: $W=\int_0^2 6x\,dx = 3(4) = 12\,\text{J}$.积分:$W=\int_0^2 6x\,dx = 12\,\text{J}$。
The hydrostatic force on a submerged vertical plate grows like which power of depth, all else equal in a constant-width strip model?在等宽条模型中,竖直板上的静水压力随最大深度的几次方增长?
Q2
linearly with maximum depth与最大深度成线性关系
with the square of the maximum depth与最大深度的平方成正比
with the cube of the maximum depth与最大深度的三次方成正比
independently of depth与深度无关
Correct. $F=\int_0^H w\,h\,L\,dh = \tfrac12 wL H^2$, which scales as $H^2$.正确。$F=\tfrac12 wLH^2$,正比于 $H^2$。
With constant width, $F=\tfrac12 wLH^2$, so doubling the depth quadruples the force.等宽时 $F=\tfrac12 wLH^2$,深度加倍则力增加四倍。
A rod on $[0,1]$ has density $\rho(x) = 2x$. Its center of mass is at:$[0,1]$ 上密度 $\rho(x) = 2x$ 的细杆,其质心在:
Q3
$\tfrac12$
$\tfrac13$
$\tfrac34$
$\tfrac23$
Correct. $m=\int_0^1 2x\,dx = 1$ and $M=\int_0^1 x(2x)\,dx = \tfrac23$, so $\bar{x}=\tfrac23$.正确。$m=1$,$M=\tfrac23$,故 $\bar{x}=\tfrac23$。
$m=1$, $M=\int_0^1 2x^2\,dx = \tfrac23$, giving $\bar{x}=\tfrac23$; the rod is denser to the right.$m=1$,$M=\tfrac23$,$\bar{x}=\tfrac23$;细杆向右越来越密。
The average value of $f(x) = 3x^2$ on $[0,2]$ is:$f(x) = 3x^2$ 在 $[0,2]$ 上的平均值为:
Q4
$4$
$8$
$2$
$6$
Correct. $\frac{1}{2}\int_0^2 3x^2\,dx = \frac{1}{2}\big[x^3\big]_0^2 = \frac{1}{2}(8) = 4$.正确。$\frac{1}{2}\int_0^2 3x^2\,dx = 4$。
$\int_0^2 3x^2\,dx = 8$, and dividing by the length $2$ gives the average $4$.$\int_0^2 3x^2\,dx = 8$,除以区间长度 $2$ 得平均值 $4$。
If $f(x) = c(1-x)$ on $[0,1]$ is a probability density, then $c$ equals:若 $f(x) = c(1-x)$ 在 $[0,1]$ 上是概率密度函数,则 $c$ 等于:
Q5
$1$
$\tfrac12$
$2$
$3$
Correct. $\int_0^1 c(1-x)\,dx = c\cdot \tfrac12 = 1$, so $c=2$.正确。$\int_0^1 c(1-x)\,dx = \tfrac{c}{2} = 1$,故 $c=2$。
Set the total area to $1$: $c\int_0^1(1-x)\,dx = \tfrac{c}{2}=1$, hence $c=2$.令总面积为 $1$:$c\int_0^1(1-x)\,dx = \tfrac{c}{2}=1$,故 $c=2$。
By Pappus's theorem, what extra fact about a region is needed to get the volume of its solid of revolution from its area?由帕普斯定理,除面积外还需要区域的什么信息才能求旋转体的体积?
Q6
its perimeter周长
the distance from its centroid to the axis形心到轴的距离
its maximum height最大高度
its density密度
Correct. $V = 2\pi\bar{d}\,A$ needs the centroid distance $\bar{d}$ to the axis.正确。$V = 2\pi\bar{d}\,A$ 需要形心到轴的距离 $\bar{d}$。
The theorem is $V=2\pi\bar{d}A$, so you need the centroid-to-axis distance $\bar{d}$.定理为 $V=2\pi\bar{d}A$,需要形心到轴的距离 $\bar{d}$。

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