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积分与求导常用公式总结

#数学#高等数学#积分#导数

一、求导公式

1. 基本初等函数的导数

  • 常数:(C)′=0(C)' = 0
  • 幂函数:(xμ)′=μxμ−1(x^\mu)' = \mu x^{\mu-1}(μ\mu 为实数)
  • 指数函数:(ex)′=ex(e^x)' = e^x,(ax)′=axln⁡a(a^x)' = a^x \ln a
  • 对数函数:(ln⁡x)′=1x(\ln x)' = \frac{1}{x},(log⁡ax)′=1xln⁡a(\log_a x)' = \frac{1}{x \ln a}
  • 三角函数:
    • (sin⁡x)′=cos⁡x(\sin x)' = \cos x
    • (cos⁡x)′=−sin⁡x(\cos x)' = -\sin x
    • (tan⁡x)′=sec⁡2x(\tan x)' = \sec^2 x
    • (cot⁡x)′=−csc⁡2x(\cot x)' = -\csc^2 x
    • (sec⁡x)′=sec⁡xtan⁡x(\sec x)' = \sec x \tan x
    • (csc⁡x)′=−csc⁡xcot⁡x(\csc x)' = -\csc x \cot x
  • 反三角函数:
    • (arcsin⁡x)′=11−x2(\arcsin x)' = \frac{1}{\sqrt{1-x^2}}
    • (arccos⁡x)′=−11−x2(\arccos x)' = -\frac{1}{\sqrt{1-x^2}}
    • (arctan⁡x)′=11+x2(\arctan x)' = \frac{1}{1+x^2}
    • (arccot⁡x)′=−11+x2(\operatorname{arccot} x)' = -\frac{1}{1+x^2}

2. 求导法则

  • 线性法则:(u±v)′=u′±v′(u \pm v)' = u' \pm v',(cu)′=cu′(cu)' = c u'
  • 乘积法则:(uv)′=u′v+uv′(uv)' = u'v + uv'
  • 商法则:(uv)′=u′v−uv′v2\left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2}(v≠0v \neq 0)
  • 链式法则:[f(g(x))]′=f′(g(x))⋅g′(x)[f(g(x))]' = f'(g(x)) \cdot g'(x)
  • 反函数求导:若 y=f(x)y = f(x) 可导且 f′(x)≠0f'(x) \neq 0,则反函数 x=φ(y)x = \varphi(y) 的导数为 φ′(y)=1f′(x)\varphi'(y) = \frac{1}{f'(x)} 或 dxdy=1dy/dx\frac{dx}{dy} = \frac{1}{dy/dx}
  • 隐函数求导:由 F(x,y)=0F(x,y)=0 确定 y=y(x)y=y(x),则 dydx=−FxFy\frac{dy}{dx} = -\frac{F_x}{F_y}(Fy≠0F_y \neq 0)
  • 参数方程求导:{x=x(t)y=y(t)\begin{cases} x = x(t) \\ y = y(t) \end{cases},则 dydx=y′(t)x′(t)\frac{dy}{dx} = \frac{y'(t)}{x'(t)},二阶导 d2ydx2=x′(t)y′′(t)−y′(t)x′′(t)[x′(t)]3\frac{d^2y}{dx^2} = \frac{x'(t)y''(t) - y'(t)x''(t)}{[x'(t)]^3}

二、积分公式

1. 不定积分基本公式(与导数对应)

  • ∫k dx=kx+C\int k \, dx = kx + C
  • ∫xμ dx=xμ+1μ+1+C\int x^\mu \, dx = \frac{x^{\mu+1}}{\mu+1} + C(μ≠−1\mu \neq -1)
  • ∫1x dx=ln⁡∣x∣+C\int \frac{1}{x} \, dx = \ln|x| + C
  • ∫ex dx=ex+C\int e^x \, dx = e^x + C
  • ∫ax dx=axln⁡a+C\int a^x \, dx = \frac{a^x}{\ln a} + C
  • ∫sin⁡x dx=−cos⁡x+C\int \sin x \, dx = -\cos x + C
  • ∫cos⁡x dx=sin⁡x+C\int \cos x \, dx = \sin x + C
  • ∫sec⁡2x dx=tan⁡x+C\int \sec^2 x \, dx = \tan x + C
  • ∫csc⁡2x dx=−cot⁡x+C\int \csc^2 x \, dx = -\cot x + C
  • ∫sec⁡xtan⁡x dx=sec⁡x+C\int \sec x \tan x \, dx = \sec x + C
  • ∫csc⁡xcot⁡x dx=−csc⁡x+C\int \csc x \cot x \, dx = -\csc x + C
  • ∫tan⁡x dx=−ln⁡∣cos⁡x∣+C\int \tan x \, dx = -\ln|\cos x| + C
  • ∫cot⁡x dx=ln⁡∣sin⁡x∣+C\int \cot x \, dx = \ln|\sin x| + C
  • ∫sec⁡x dx=ln⁡∣sec⁡x+tan⁡x∣+C\int \sec x \, dx = \ln|\sec x + \tan x| + C
  • ∫csc⁡x dx=ln⁡∣csc⁡x−cot⁡x∣+C\int \csc x \, dx = \ln|\csc x - \cot x| + C
  • ∫11−x2 dx=arcsin⁡x+C\int \frac{1}{\sqrt{1-x^2}} \, dx = \arcsin x + C(或 −arccos⁡x+C-\arccos x + C)
  • ∫11+x2 dx=arctan⁡x+C\int \frac{1}{1+x^2} \, dx = \arctan x + C(或 −arccot⁡x+C-\operatorname{arccot} x + C)
  • ∫1a2−x2 dx=arcsin⁡xa+C\int \frac{1}{\sqrt{a^2-x^2}} \, dx = \arcsin\frac{x}{a} + C(a>0a>0)
  • ∫1a2+x2 dx=1aarctan⁡xa+C\int \frac{1}{a^2+x^2} \, dx = \frac{1}{a} \arctan\frac{x}{a} + C
  • ∫1x2−a2 dx=12aln⁡∣x−ax+a∣+C\int \frac{1}{x^2-a^2} \, dx = \frac{1}{2a} \ln\left|\frac{x-a}{x+a}\right| + C
  • ∫1x2±a2 dx=ln⁡∣x+x2±a2∣+C\int \frac{1}{\sqrt{x^2 \pm a^2}} \, dx = \ln\left|x + \sqrt{x^2 \pm a^2}\right| + C

2. 积分运算法则

  • 线性性质:∫[f(x)±g(x)] dx=∫f(x) dx±∫g(x) dx\int [f(x) \pm g(x)] \, dx = \int f(x) \, dx \pm \int g(x) \, dx,∫kf(x) dx=k∫f(x) dx\int k f(x) \, dx = k \int f(x) \, dx
  • 分部积分法:∫u dv=uv−∫v du\int u \, dv = uv - \int v \, du(选 uu 遵循“反对幂三指”顺序)
  • 换元积分法:
    • 第一类换元(凑微分):∫f(φ(x))φ′(x) dx=∫f(u) du\int f(\varphi(x)) \varphi'(x) \, dx = \int f(u) \, du,令 u=φ(x)u = \varphi(x)
    • 第二类换元:∫f(x) dx\int f(x) \, dx,令 x=ψ(t)x = \psi(t),则 dx=ψ′(t) dtdx = \psi'(t) \, dt,转化为 ∫f(ψ(t))ψ′(t) dt\int f(\psi(t)) \psi'(t) \, dt,常用于去根号(三角代换、倒代换等)

3. 定积分常用公式与性质

  • 牛顿-莱布尼茨公式:∫abf(x) dx=F(b)−F(a)\int_a^b f(x) \, dx = F(b) - F(a),其中 F′(x)=f(x)F'(x) = f(x)
  • 线性性质:同不定积分
  • 换元法:∫abf(x) dx=∫αβf(φ(t))φ′(t) dt\int_a^b f(x) \, dx = \int_\alpha^\beta f(\varphi(t)) \varphi'(t) \, dt,需换限
  • 分部积分法:∫abu dv=[uv]ab−∫abv du\int_a^b u \, dv = [uv]_a^b - \int_a^b v \, du
  • 奇偶对称性:
    • 若 f(x)f(x) 为偶函数,则 ∫−aaf(x) dx=2∫0af(x) dx\int_{-a}^a f(x) \, dx = 2 \int_0^a f(x) \, dx
    • 若 f(x)f(x) 为奇函数,则 ∫−aaf(x) dx=0\int_{-a}^a f(x) \, dx = 0
  • 周期性:若 f(x)f(x) 以 TT 为周期,则 ∫aa+Tf(x) dx=∫0Tf(x) dx\int_a^{a+T} f(x) \, dx = \int_0^T f(x) \, dx
  • 华里士公式(点火公式):
    • ∫0π/2sin⁡nx dx=∫0π/2cos⁡nx dx={(n−1)!!n!!⋅π2,n为正偶数(n−1)!!n!!,n为正奇数\int_0^{\pi/2} \sin^n x \, dx = \int_0^{\pi/2} \cos^n x \, dx = \begin{cases} \frac{(n-1)!!}{n!!} \cdot \frac{\pi}{2}, & n \text{为正偶数} \\ \frac{(n-1)!!}{n!!}, & n \text{为正奇数} \end{cases}
  • 区间再现公式:∫abf(x) dx=∫abf(a+b−x) dx\int_a^b f(x) \, dx = \int_a^b f(a+b-x) \, dx
  • 欧拉积分:∫0π/2ln⁡sin⁡x dx=−π2ln⁡2\int_0^{\pi/2} \ln\sin x \, dx = -\frac{\pi}{2} \ln 2

三、多元函数微积分常用公式(补充)

  • 偏导数:∂z∂x\frac{\partial z}{\partial x},∂z∂y\frac{\partial z}{\partial y}(z=f(x,y)z = f(x,y))
  • 全微分:dz=∂z∂x dx+∂z∂y dydz = \frac{\partial z}{\partial x} \, dx + \frac{\partial z}{\partial y} \, dy
  • 梯度:grad⁡f=(∂f∂x,∂f∂y,∂f∂z)\operatorname{grad} f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right)
  • 多元复合函数求导(链式法则):如 z=f(u,v)z = f(u,v),u=φ(x,y)u = \varphi(x,y),v=ψ(x,y)v = \psi(x,y),则 ∂z∂x=∂f∂u∂u∂x+∂f∂v∂v∂x\frac{\partial z}{\partial x} = \frac{\partial f}{\partial u} \frac{\partial u}{\partial x} + \frac{\partial f}{\partial v} \frac{\partial v}{\partial x}
  • 隐函数求导:由 F(x,y,z)=0F(x,y,z)=0 确定 z=z(x,y)z = z(x,y),则 ∂z∂x=−FxFz\frac{\partial z}{\partial x} = -\frac{F_x}{F_z},∂z∂y=−FyFz\frac{\partial z}{\partial y} = -\frac{F_y}{F_z}
  • 重积分换元:∬Df(x,y) dxdy=∬D′f(x(u,v),y(u,v)) ∣J∣ dudv\iint_D f(x,y) \, dxdy = \iint_{D'} f(x(u,v), y(u,v)) \, |J| \, du dv,其中 J=∂(x,y)∂(u,v)J = \frac{\partial(x,y)}{\partial(u,v)}
  • 曲线积分、曲面积分等相关公式(如格林公式、高斯公式、斯托克斯公式)在此略去,可根据需要另行总结。

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