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高等数学|第0节 常用公式

一、求导公式#

1、 基本初等函数求导公式#

(1). 常数与幂函数#

  • (C)′=0(C)' = 0
  • (xα)′=αxα−1(x^\alpha)' = \alpha x^{\alpha-1}
  • (x)′=12x(\sqrt{x})' = \frac{1}{2\sqrt{x}}
  • (1x)′=−1x2\left(\frac{1}{x}\right)' = -\frac{1}{x^2}

(2). 指数与对数函数#

  • (ax)′=axln⁡a(a>0,a≠1)(a^x)' = a^x \ln a \quad (a > 0, a \neq 1)
  • (ex)′=ex(e^x)' = e^x
  • (log⁡ax)′=1xln⁡a(a>0,a≠1)(\log_a x)' = \frac{1}{x \ln a} \quad (a > 0, a \neq 1)
  • (ln⁡∣x∣)′=1x(\ln \vert{}x\vert{})' = \frac{1}{x}

2、 三角函数与反三角函数求导#

(1). 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

(2). 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(\text{arccot}\, x)' = -\frac{1}{1 + x^2}
  • (arcsec x)′=1∣x∣x2−1(\text{arcsec}\, x)' = \frac{1}{\vert{}x\vert{}\sqrt{x^2 - 1}}
  • (arccsc x)′=−1∣x∣x2−1(\text{arccsc}\, x)' = -\frac{1}{\vert{}x\vert{}\sqrt{x^2 - 1}}

3、 双曲函数与反双曲函数求导(重点)#

(1). 双曲函数#

  • 双曲正弦:(sinh⁡x)′=cosh⁡x(\sinh x)' = \cosh x
  • 双曲余弦:(cosh⁡x)′=sinh⁡x(\cosh x)' = \sinh x
  • 双曲正切:(tanh⁡x)′=sech2x=1−tanh⁡2x(\tanh x)' = \text{sech}^2 x = 1 - \tanh^2 x
  • 双曲余切:(coth⁡x)′=−csch2x=1−coth⁡2x(\coth x)' = -\text{csch}^2 x = 1 - \coth^2 x

(2). 反双曲函数#

  • 反双曲正弦:(arsinh x)′=(ln⁡(x+x2+1))′=1x2+1(\text{arsinh}\, x)' = \left(\ln(x + \sqrt{x^2 + 1})\right)' = \frac{1}{\sqrt{x^2 + 1}}
  • 反双曲余弦:(arcosh x)′=(ln⁡(x+x2−1))′=1x2−1(x>1)(\text{arcosh}\, x)' = \left(\ln(x + \sqrt{x^2 - 1})\right)' = \frac{1}{\sqrt{x^2 - 1}} \quad (x > 1)
  • 反双曲正切:(artanh x)′=(12ln⁡1+x1−x)′=11−x2(∣x∣<1)(\text{artanh}\, x)' = \left(\frac{1}{2}\ln \frac{1+x}{1-x}\right)' = \frac{1}{1 - x^2} \quad (\vert{}x\vert{} < 1)

4、 基本运算法则#

(1). 四则运算#

  • (u±v)′=u′±v′(u \pm v)' = u' \pm v'
  • (uv)′=u′v+uv′(uv)' = u'v + uv'
  • (uv)′=u′v−uv′v2(v≠0)\left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2} \quad (v \neq 0)

(2). 复合函数(链式法则)#

  • dydx=dydu⋅dudx\frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx}

(3). 反函数求导#

  • f′(x)=1(f−1)′(y)(y=f(x))f'(x) = \frac{1}{(f^{-1})'(y)} \quad (y = f(x))

(4). 幂指函数求导#

  • 若 y=u(x)v(x)=ev(x)ln⁡u(x)y = u(x)^{v(x)} = e^{v(x) \ln u(x)},则:

y′=u(x)v(x)(v′(x)ln⁡u(x)+v(x)u′(x)u(x))y' = u(x)^{v(x)} \left( v'(x) \ln u(x) + \frac{v(x) u'(x)}{u(x)} \right)


5、 常用 nn 阶高阶导数公式与莱布尼茨公式#

(1). 基本函数的 nn 阶导数#

  • (xm)(n)=Pmnxm−n=m!(m−n)!xm−n(n≤m)(x^m)^{(n)} = P_m^n x^{m-n} = \frac{m!}{(m-n)!} x^{m-n} \quad (n \le m);若 n>mn > m 则为 00
  • (1ax+b)(n)=(−1)nn!an(ax+b)n+1\left(\frac{1}{ax + b}\right)^{(n)} = \frac{(-1)^n n! a^n}{(ax + b)^{n+1}}
  • (ln⁡(ax+b))(n)=(−1)n−1(n−1)!an(ax+b)n(\ln(ax + b))^{(n)} = \frac{(-1)^{n-1} (n-1)! a^n}{(ax + b)^n}
  • (eax)(n)=aneax(e^{ax})^{(n)} = a^n e^{ax}
  • (ax)(n)=ax(ln⁡a)n(a^x)^{(n)} = a^x (\ln a)^n
  • (sin⁡(ax+b))(n)=ansin⁡(ax+b+nπ2)(\sin(ax + b))^{(n)} = a^n \sin\left(ax + b + \frac{n\pi}{2}\right)
  • (cos⁡(ax+b))(n)=ancos⁡(ax+b+nπ2)(\cos(ax + b))^{(n)} = a^n \cos\left(ax + b + \frac{n\pi}{2}\right)

(2). 莱布尼茨乘积求导公式 (Leibniz Rule)#

若 u(x),v(x)u(x), v(x) 均 nn 阶可导,则:

(uv)(n)=∑k=0nCnku(n−k)v(k)=∑k=0n(nk)u(n−k)v(k)(uv)^{(n)} = \sum_{k=0}^{n} C_n^k u^{(n-k)} v^{(k)} = \sum_{k=0}^{n} \binom{n}{k} u^{(n-k)} v^{(k)}


6、 特殊形式函数的求导公式#

(1). 变限积分求导(含参变量积分)#

  • 一般形式(含被积函数内参数 xx):

ddx∫ϕ(x)ψ(x)f(t,x) dt=f(ψ(x),x)ψ′(x)−f(ϕ(x),x)ϕ′(x)+∫ϕ(x)ψ(x)∂f(t,x)∂x dt\frac{d}{dx} \int_{\phi(x)}^{\psi(x)} f(t, x) \, dt = f(\psi(x), x)\psi'(x) - f(\phi(x), x)\phi'(x) + \int_{\phi(x)}^{\psi(x)} \frac{\partial f(t, x)}{\partial x} \, dt

  • 无内参形式:

ddx∫ϕ(x)ψ(x)f(t) dt=f(ψ(x))ψ′(x)−f(ϕ(x))ϕ′(x)\frac{d}{dx} \int_{\phi(x)}^{\psi(x)} f(t) \, dt = f(\psi(x))\psi'(x) - f(\phi(x))\phi'(x)

(2). 参数方程求导#

设 {x=ϕ(t)y=ψ(t)\begin{cases} x = \phi(t) \\ y = \psi(t) \end{cases},且 ϕ′(t)≠0\phi'(t) \neq 0:

  • 一阶导数:dydx=ψ′(t)ϕ′(t)\frac{dy}{dx} = \frac{\psi'(t)}{\phi'(t)}
  • 二阶导数:d2ydx2=ddt(dydx)ϕ′(t)=ψ′′(t)ϕ′(t)−ψ′(t)ϕ′′(t)[ϕ′(t)]3\frac{d^2 y}{dx^2} = \frac{\frac{d}{dt}\left(\frac{dy}{dx}\right)}{\phi'(t)} = \frac{\psi''(t)\phi'(t) - \psi'(t)\phi''(t)}{[\phi'(t)]^3}

(3). 隐函数求导#

由方程 F(x,y)=0F(x, y) = 0 确定 y=y(x)y = y(x),且 Fy≠0F_y \neq 0:

  • 一阶导数:dydx=−FxFy\frac{dy}{dx} = -\frac{F_x}{F_y}
  • 二阶导数:d2ydx2=−FxxFy2−2FxyFxFy+FyyFx2Fy3\frac{d^2 y}{dx^2} = -\frac{F_{xx} F_y^2 - 2 F_{xy} F_x F_y + F_{yy} F_x^2}{F_y^3}

二、积分公式#

1、 基本初等函数积分表#

(1). 幂函数与指数函数#

  • ∫xμ dx=xμ+1μ+1+C(μ≠−1)\int x^\mu \, dx = \frac{x^{\mu+1}}{\mu+1} + C \quad (\mu \neq -1)
  • ∫1x dx=ln⁡∣x∣+C\int \frac{1}{x} \, dx = \ln \vert{}x\vert{} + C
  • ∫ex dx=ex+C\int e^x \, dx = e^x + C
  • ∫ax dx=axln⁡a+C(a>0,a≠1)\int a^x \, dx = \frac{a^x}{\ln a} + C \quad (a > 0, a \neq 1)

(2). 基本三角函数#

  • ∫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
  • ∫tan⁡x dx=−ln⁡∣cos⁡x∣+C=ln⁡∣sec⁡x∣+C\int \tan x \, dx = -\ln \vert{}\cos x\vert{} + C = \ln \vert{}\sec x\vert{} + C
  • ∫cot⁡x dx=ln⁡∣sin⁡x∣+C\int \cot x \, dx = \ln \vert{}\sin x\vert{} + C
  • ∫sec⁡x dx=ln⁡∣sec⁡x+tan⁡x∣+C=ln⁡∣tan⁡(x2+π4)∣+C\int \sec x \, dx = \ln \vert{}\sec x + \tan x\vert{} + C = \ln \left\vert{} \tan\left( \frac{x}{2} + \frac{\pi}{4} \right) \right\vert{} + C
  • ∫csc⁡x dx=ln⁡∣csc⁡x−cot⁡x∣+C=ln⁡∣tan⁡x2∣+C\int \csc x \, dx = \ln \vert{}\csc x - \cot x\vert{} + C = \ln \left\vert{} \tan \frac{x}{2} \right\vert{} + C

(3). 平方类与相乘类三角函数#

  • ∫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

(4). 双曲函数#

  • ∫sinh⁡x dx=cosh⁡x+C\int \sinh x \, dx = \cosh x + C
  • ∫cosh⁡x dx=sinh⁡x+C\int \cosh x \, dx = \sinh x + C
  • ∫sech2x dx=tanh⁡x+C\int \text{sech}^2 x \, dx = \tanh x + C

2、 含有 a2±x2a^2 \pm x^2 与 a2±x2\sqrt{a^2 \pm x^2} 的拓展公式(高频)#

(1). 无理/有理二次分式#

  • ∫1a2+x2 dx=1aarctan⁡xa+C\int \frac{1}{a^2 + x^2} \, dx = \frac{1}{a} \arctan \frac{x}{a} + C
  • ∫1a2−x2 dx=12aln⁡∣a+xa−x∣+C\int \frac{1}{a^2 - x^2} \, dx = \frac{1}{2a} \ln \left\vert{} \frac{a+x}{a-x} \right\vert{} + C
  • ∫1x2−a2 dx=12aln⁡∣x−ax+a∣+C\int \frac{1}{x^2 - a^2} \, dx = \frac{1}{2a} \ln \left\vert{} \frac{x-a}{x+a} \right\vert{} + C
  • ∫1a2−x2 dx=arcsin⁡xa+C\int \frac{1}{\sqrt{a^2 - x^2}} \, dx = \arcsin \frac{x}{a} + C
  • ∫1x2+a2 dx=ln⁡(x+x2+a2)+C=arsinhxa+C1\int \frac{1}{\sqrt{x^2 + a^2}} \, dx = \ln(x + \sqrt{x^2 + a^2}) + C = \text{arsinh} \frac{x}{a} + C_1
  • ∫1x2−a2 dx=ln⁡∣x+x2−a2∣+C\int \frac{1}{\sqrt{x^2 - a^2}} \, dx = \ln \vert{}x + \sqrt{x^2 - a^2}\vert{} + C

(2). 二次根式分子型(三元组合)#

  • ∫a2−x2 dx=x2a2−x2+a22arcsin⁡xa+C\int \sqrt{a^2 - x^2} \, dx = \frac{x}{2}\sqrt{a^2 - x^2} + \frac{a^2}{2}\arcsin \frac{x}{a} + C
  • ∫x2+a2 dx=x2x2+a2+a22ln⁡(x+x2+a2)+C\int \sqrt{x^2 + a^2} \, dx = \frac{x}{2}\sqrt{x^2 + a^2} + \frac{a^2}{2}\ln(x + \sqrt{x^2 + a^2}) + C
  • ∫x2−a2 dx=x2x2−a2−a22ln⁡∣x+x2−a2∣+C\int \sqrt{x^2 - a^2} \, dx = \frac{x}{2}\sqrt{x^2 - a^2} - \frac{a^2}{2}\ln\vert{}x + \sqrt{x^2 - a^2}\vert{} + C

3、 指数与三角乘积积分#

  • ∫eaxsin⁡(bx) dx=eaxa2+b2(asin⁡bx−bcos⁡bx)+C\int e^{ax} \sin(bx) \, dx = \frac{e^{ax}}{a^2 + b^2} (a\sin bx - b\cos bx) + C
  • ∫eaxcos⁡(bx) dx=eaxa2+b2(acos⁡bx+bsin⁡bx)+C\int e^{ax} \cos(bx) \, dx = \frac{e^{ax}}{a^2 + b^2} (a\cos bx + b\sin bx) + C

4、 常用递推与高阶三角定积分#

(1). 华里斯公式(Wallis 公式 / 点火公式)#

In=∫0π2sin⁡nx dx=∫0π2cos⁡nx dx={n−1n⋅n−3n−2⋯12⋅π2,n 为正偶数n−1n⋅n−3n−2⋯23⋅1,n 为正奇数I_n = \int_0^{\frac{\pi}{2}} \sin^n x \, dx = \int_0^{\frac{\pi}{2}} \cos^n x \, dx = \begin{cases} \frac{n-1}{n} \cdot \frac{n-3}{n-2} \cdots \frac{1}{2} \cdot \frac{\pi}{2}, & n \text{ 为正偶数} \\ \frac{n-1}{n} \cdot \frac{n-3}{n-2} \cdots \frac{2}{3} \cdot 1, & n \text{ 为正奇数} \end{cases}

(2). 常用递推关系#

  • ∫tan⁡nx dx=tan⁡n−1xn−1−∫tan⁡n−2x dx(n≥2)\int \tan^n x \, dx = \frac{\tan^{n-1} x}{n-1} - \int \tan^{n-2} x \, dx \quad (n \ge 2)
  • ∫sec⁡nx dx=1n−1sec⁡n−2xtan⁡x+n−2n−1∫sec⁡n−2x dx(n≥2)\int \sec^n x \, dx = \frac{1}{n-1} \sec^{n-2} x \tan x + \frac{n-2}{n-1} \int \sec^{n-2} x \, dx \quad (n \ge 2)
  • ∫ln⁡nx dx=xln⁡nx−n∫ln⁡n−1x dx\int \ln^n x \, dx = x \ln^n x - n \int \ln^{n-1} x \, dx

5、 特殊定积分、广义积分与特殊函数(重点)#

(1). 定积分对称性与变式#

  • 偶奇性:∫−aaf(x) dx=0(f 为奇函数)\int_{-a}^a f(x) \, dx = 0 \quad (f \text{ 为奇函数});∫−aaf(x) dx=2∫0af(x) dx(f 为偶函数)\int_{-a}^a f(x) \, dx = 2\int_0^a f(x) \, dx \quad (f \text{ 为偶函数})
  • 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
  • 周期性:若 f(x)f(x) 周期为 TT,则对任意 aa,有 ∫aa+Tf(x) dx=∫0Tf(x) dx\int_a^{a+T} f(x) \, dx = \int_0^T f(x) \, dx
  • 对称轴变化:∫0πxf(sin⁡x) dx=π2∫0πf(sin⁡x) dx\int_0^\pi x f(\sin x) \, dx = \frac{\pi}{2} \int_0^\pi f(\sin x) \, dx

(2). 经典广义积分(反常积分)#

  • 高斯积分 (Gaussian Integral):

∫−∞+∞e−x2 dx=π,∫0+∞e−x2 dx=π2\int_{-\infty}^{+\infty} e^{-x^2} \, dx = \sqrt{\pi}, \quad \int_0^{+\infty} e^{-x^2} \, dx = \frac{\sqrt{\pi}}{2}

  • 狄利克雷积分 (Dirichlet Integral):

∫0+∞sin⁡xx dx=π2\int_0^{+\infty} \frac{\sin x}{x} \, dx = \frac{\pi}{2}

  • 欧拉-菲涅耳积分 (Fresnel Integrals):

∫0+∞sin⁡(x2) dx=∫0+∞cos⁡(x2) dx=2π4\int_0^{+\infty} \sin(x^2) \, dx = \int_0^{+\infty} \cos(x^2) \, dx = \frac{\sqrt{2\pi}}{4}

  • 对数三角积分:

∫0π2ln⁡(sin⁡x) dx=∫0π2ln⁡(cos⁡x) dx=−π2ln⁡2\int_0^{\frac{\pi}{2}} \ln(\sin x) \, dx = \int_0^{\frac{\pi}{2}} \ln(\cos x) \, dx = -\frac{\pi}{2} \ln 2

(3). 伽马函数(Gamma Function)与贝塔函数(Beta Function)#

  • Γ(s)=∫0+∞xs−1e−x dx(s>0)\Gamma(s) = \int_0^{+\infty} x^{s-1} e^{-x} \, dx \quad (s > 0)

  • 性质:Γ(s+1)=sΓ(s)\Gamma(s+1) = s\Gamma(s),当 nn 为整数时 Γ(n+1)=n!\Gamma(n+1) = n!;Γ(12)=π\Gamma\left(\frac{1}{2}\right) = \sqrt{\pi}

  • B(p,q)=∫01xp−1(1−x)q−1 dx=2∫0π2sin⁡2p−1θcos⁡2q−1θ dθ(p>0,q>0)B(p, q) = \int_0^1 x^{p-1}(1-x)^{q-1} \, dx = 2 \int_0^{\frac{\pi}{2}} \sin^{2p-1} \theta \cos^{2q-1} \theta \, d\theta \quad (p > 0, q > 0)

  • 与 Γ\Gamma 函数的关系:

B(p,q)=Γ(p)Γ(q)Γ(p+q)B(p, q) = \frac{\Gamma(p)\Gamma(q)}{\Gamma(p+q)}


三、常用等价无穷小#


1、 一阶基本等价无穷小(基础必备)#

当 x→0x \to 0(或 α(x)→0\alpha(x) \to 0)时:

(1). 三角与反三角函数#

  • sin⁡x∼x\sin x \sim x
  • tan⁡x∼x\tan x \sim x
  • arcsin⁡x∼x\arcsin x \sim x
  • arctan⁡x∼x\arctan x \sim x

(2). 指数与对数函数#

  • ex−1∼xe^x - 1 \sim x
  • ax−1∼xln⁡a(a>0,a≠1)a^x - 1 \sim x \ln a \quad (a > 0, a \neq 1)
  • ln⁡(1+x)∼x\ln(1 + x) \sim x
  • log⁡a(1+x)∼xln⁡a(a>0,a≠1)\log_a(1 + x) \sim \frac{x}{\ln a} \quad (a > 0, a \neq 1)

(3). 幂函数广义式#

  • (1+x)α−1∼αx(α≠0)(1 + x)^\alpha - 1 \sim \alpha x \quad (\alpha \neq 0)
  • 特别地:
  • 1+x−1∼12x\sqrt{1 + x} - 1 \sim \frac{1}{2} x
  • 11+x−1∼−12x\frac{1}{\sqrt{1 + x}} - 1 \sim -\frac{1}{2} x
  • 1+xn−1∼1nx\sqrt[n]{1 + x} - 1 \sim \frac{1}{n} x

(4). 双曲与反双曲函数#

  • sinh⁡x∼x\sinh x \sim x
  • tanh⁡x∼x\tanh x \sim x
  • arsinh x∼x\text{arsinh}\, x \sim x
  • artanh x∼x\text{artanh}\, x \sim x

2、 二阶与三阶等价无穷小(相减/差值核心)#

在相减项抵消(如 tan⁡x−sin⁡x\tan x - \sin x)或分母出现高阶项时,必须使用二阶或三阶等价无穷小:

(1). 二阶型(x2x^2 阶)#

  • 1−cos⁡x∼12x21 - \cos x \sim \frac{1}{2} x^2
  • 1−cos⁡αx∼α2x21 - \cos^\alpha x \sim \frac{\alpha}{2} x^2
  • cosh⁡x−1∼12x2\cosh x - 1 \sim \frac{1}{2} x^2
  • ex−1−x∼12x2e^x - 1 - x \sim \frac{1}{2} x^2
  • x−ln⁡(1+x)∼12x2x - \ln(1 + x) \sim \frac{1}{2} x^2
  • (1+x)ln⁡(1+x)−x∼12x2(1 + x) \ln(1 + x) - x \sim \frac{1}{2} x^2

(2). 三阶型(x3x^3 阶 —— 高频难点)#

  • x−sin⁡x∼16x3x - \sin x \sim \frac{1}{6} x^3
  • arcsin⁡x−x∼16x3\arcsin x - x \sim \frac{1}{6} x^3
  • tan⁡x−x∼13x3\tan x - x \sim \frac{1}{3} x^3
  • x−arctan⁡x∼13x3x - \arctan x \sim \frac{1}{3} x^3
  • tan⁡x−sin⁡x∼12x3\tan x - \sin x \sim \frac{1}{2} x^3
  • arcsin⁡x−arctan⁡x∼12x3\arcsin x - \arctan x \sim \frac{1}{2} x^3
  • artanh x−x∼13x3\text{artanh}\, x - x \sim \frac{1}{3} x^3
  • x−sinh⁡x∼−16x3x - \sinh x \sim -\frac{1}{6} x^3

3、 常用变体与复合结构(大题技巧)#

(1). 指数与对数变形#

  • ef(x)−eg(x)∼eg(x)(f(x)−g(x))(f(x),g(x)→0)e^{f(x)} - e^{g(x)} \sim e^{g(x)} (f(x) - g(x)) \quad (f(x), g(x) \to 0)
  • ln⁡f(x)−ln⁡g(x)=ln⁡(1+f(x)−g(x)g(x))∼f(x)−g(x)g(x)(f(x),g(x)→1)\ln f(x) - \ln g(x) = \ln \left( 1 + \frac{f(x)-g(x)}{g(x)} \right) \sim \frac{f(x) - g(x)}{g(x)} \quad (f(x), g(x) \to 1)
  • af(x)−bg(x)∼af(x)−bf(x)+bf(x)−bg(x)a^{f(x)} - b^{g(x)} \sim a^{f(x)} - b^{f(x)} + b^{f(x)} - b^{g(x)}(常用于拆项)

(2). 幂指函数型(1∞1^\infty 型求极限常用)#

  • [1+g(x)]f(x)−1∼f(x)g(x)(g(x)→0, f(x)g(x)→0)[1 + g(x)]^{f(x)} - 1 \sim f(x)g(x) \quad (g(x) \to 0, \, f(x)g(x) \to 0)

4、 泰勒公式展开式(等价无穷小的根源)#

当加减运算中低阶项被完全抵消时,等价无穷小代换失效,必须直接使用泰勒展开(展开到首个非零系数项):

sin⁡x=x−x36+O(x5)cos⁡x=1−x22+x424+O(x6)tan⁡x=x+x33+2x515+O(x5)arcsin⁡x=x+x36+3x540+O(x5)arctan⁡x=x−x33+x55+O(x5)ex=1+x+x22+x36+O(x4)ln⁡(1+x)=x−x22+x33−x44+O(x4)(1+x)α=1+αx+α(α−1)2x2+α(α−1)(α−2)6x3+O(x3)\begin{aligned} \sin x &= x - \frac{x^3}{6} + O(x^5) \\ \cos x &= 1 - \frac{x^2}{2} + \frac{x^4}{24} + O(x^6) \\ \tan x &= x + \frac{x^3}{3} + \frac{2x^5}{15} + O(x^5) \\ \arcsin x &= x + \frac{x^3}{6} + \frac{3x^5}{40} + O(x^5) \\ \arctan x &= x - \frac{x^3}{3} + \frac{x^5}{5} + O(x^5) \\ e^x &= 1 + x + \frac{x^2}{2} + \frac{x^3}{6} + O(x^4) \\ \ln(1 + x) &= x - \frac{x^2}{2} + \frac{x^3}{3} - \frac{x^4}{4} + O(x^4) \\ (1 + x)^\alpha &= 1 + \alpha x + \frac{\alpha(\alpha - 1)}{2} x^2 + \frac{\alpha(\alpha - 1)(\alpha - 2)}{6} x^3 + O(x^3) \end{aligned}


5、 代换原则与避坑指南#

核心原则: 乘除直接换,加减慎重换。

(1). 乘除关系: 若 α∼α′\alpha \sim \alpha', β∼β′\beta \sim \beta',则 lim⁡α⋅β…=lim⁡α′⋅β′…\lim \frac{\alpha \cdot \beta}{\dots} = \lim \frac{\alpha' \cdot \beta'}{\dots},可以无条件替换。#

(2). 加减关系(代换条件):#

若要对 α−β\alpha - \beta 中的 α,β\alpha, \beta 分别替换为 α′,β′\alpha', \beta':

  • 允许替换: 当且仅当 lim⁡α′β′≠1\lim \frac{\alpha'}{\beta'} \neq 1(即两者不是同阶且同系数的无穷小)。
  • 禁止替换: 若 lim⁡α′β′=1\lim \frac{\alpha'}{\beta'} = 1(例如 tan⁡x−sin⁡x\tan x - \sin x,若一阶替换变成 x−x=0x - x = 0),直接替换会导致错解!此时必须使用高阶等价无穷小(tan⁡x−sin⁡x∼12x3\tan x - \sin x \sim \frac{1}{2}x^3)或泰勒展开式展开至相减后的首个非零项。

四、常用的泰勒(Taylor)/ 麦克劳林(Maclaurin)公式#

1、 核心基本初等函数(熟记通项)#

(1). 指数与对数函数#

  • 指数函数 exe^x(收敛域:(−∞,+∞)(-\infty, +\infty))

ex=1+x+x22!+x33!+⋯+xnn!+o(xn)=∑k=0nxkk!+o(xn)e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots + \frac{x^n}{n!} + o(x^n) = \sum_{k=0}^{n} \frac{x^k}{k!} + o(x^n)

  • 特例变体:ax=exln⁡a=∑k=0n(ln⁡a)kk!xk+o(xn)a^x = e^{x \ln a} = \sum_{k=0}^n \frac{(\ln a)^k}{k!} x^k + o(x^n)

  • 对数函数 ln⁡(1+x)\ln(1+x)(收敛域:(−1,1](-1, 1])

ln⁡(1+x)=x−x22+x33−x44+⋯+(−1)n−1nxn+o(xn)=∑k=1n(−1)k−1kxk+o(xn)\ln(1+x) = x - \frac{x^2}{2} + \frac{x^3}{3} - \frac{x^4}{4} + \cdots + \frac{(-1)^{n-1}}{n}x^n + o(x^n) = \sum_{k=1}^n \frac{(-1)^{k-1}}{k} x^k + o(x^n)

  • 对数函数 ln⁡(1−x)\ln(1-x)(收敛域:[−1,1)[-1, 1))

ln⁡(1−x)=−x−x22−x33−⋯−xnn+o(xn)=−∑k=1nxkk+o(xn)\ln(1-x) = -x - \frac{x^2}{2} - \frac{x^3}{3} - \cdots - \frac{x^n}{n} + o(x^n) = -\sum_{k=1}^n \frac{x^k}{k} + o(x^n)


(2). 三角函数与反三角函数#

  • 正弦函数 sin⁡x\sin x(奇函数,收敛域:(−∞,+∞)(-\infty, +\infty))

sin⁡x=x−x33!+x55!−x77!+⋯+(−1)n(2n+1)!x2n+1+o(x2n+2)\sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!} + \cdots + \frac{(-1)^n}{(2n+1)!} x^{2n+1} + o(x^{2n+2})

  • 余弦函数 cos⁡x\cos x(偶函数,收敛域:(−∞,+∞)(-\infty, +\infty))

cos⁡x=1−x22!+x44!−x66!+⋯+(−1)n(2n)!x2n+o(x2n+1)\cos x = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!} + \cdots + \frac{(-1)^n}{(2n)!} x^{2n} + o(x^{2n+1})

  • 正切函数 tan⁡x\tan x(奇函数,展开到 x5x^5 或 x7x^7 即可)

tan⁡x=x+13x3+215x5+17315x7+o(x7)\tan x = x + \frac{1}{3}x^3 + \frac{2}{15}x^5 + \frac{17}{315}x^7 + o(x^7)

  • 反正弦函数 arcsin⁡x\arcsin x(奇函数,收敛域:[−1,1][-1, 1])

arcsin⁡x=x+16x3+340x5+5112x7+⋯+(2n)!4n(n!)2(2n+1)x2n+1+o(x2n+2)\arcsin x = x + \frac{1}{6}x^3 + \frac{3}{40}x^5 + \frac{5}{112}x^7 + \cdots + \frac{(2n)!}{4^n (n!)^2 (2n+1)} x^{2n+1} + o(x^{2n+2})

  • 反切函数 arctan⁡x\arctan x(奇函数,收敛域:[−1,1][-1, 1])

arctan⁡x=x−x33+x55−x77+⋯+(−1)n2n+1x2n+1+o(x2n+2)\arctan x = x - \frac{x^3}{3} + \frac{x^5}{5} - \frac{x^7}{7} + \cdots + \frac{(-1)^n}{2n+1} x^{2n+1} + o(x^{2n+2})

  • 正割函数 sec⁡x\sec x(偶函数,高频)

sec⁡x=1+12x2+524x4+61720x6+o(x6)\sec x = 1 + \frac{1}{2}x^2 + \frac{5}{24}x^4 + \frac{61}{720}x^6 + o(x^6)


(3). 二项式展开(Generalized Binomial Series)#

  • 一般幂函数 (1+x)α(1+x)^\alpha(收敛域视 α\alpha 而定,至少在 (−1,1)(-1, 1) 内收敛)

(1+x)α=1+αx+α(α−1)2!x2+⋯+α(α−1)⋯(α−n+1)n!xn+o(xn)(1+x)^\alpha = 1 + \alpha x + \frac{\alpha(\alpha-1)}{2!} x^2 + \cdots + \frac{\alpha(\alpha-1)\cdots(\alpha-n+1)}{n!} x^n + o(x^n)

  • 常见重要特例:
  • 11−x=1+x+x2+x3+⋯+xn+o(xn)=∑k=0nxk+o(xn)(∣x∣<1)\frac{1}{1-x} = 1 + x + x^2 + x^3 + \cdots + x^n + o(x^n) = \sum_{k=0}^n x^k + o(x^n) \quad (\vert{}x\vert{} < 1)
  • 11+x=1−x+x2−x3+⋯+(−1)nxn+o(xn)(∣x∣<1)\frac{1}{1+x} = 1 - x + x^2 - x^3 + \cdots + (-1)^n x^n + o(x^n) \quad (\vert{}x\vert{} < 1)
  • 11+x2=1−x2+x4−x6+⋯+(−1)nx2n+o(x2n+1)\frac{1}{1+x^2} = 1 - x^2 + x^4 - x^6 + \cdots + (-1)^n x^{2n} + o(x^{2n+1})
  • 1+x=1+12x−18x2+116x3−5128x4+o(x4)\sqrt{1+x} = 1 + \frac{1}{2}x - \frac{1}{8}x^2 + \frac{1}{16}x^3 - \frac{5}{128}x^4 + o(x^4)
  • 11+x=1−12x+38x2−516x3+35128x4+o(x4)\frac{1}{\sqrt{1+x}} = 1 - \frac{1}{2}x + \frac{3}{8}x^2 - \frac{5}{16}x^3 + \frac{35}{128}x^4 + o(x^4)
  • 11−x2=1+12x2+38x4+516x6+o(x6)\frac{1}{\sqrt{1-x^2}} = 1 + \frac{1}{2}x^2 + \frac{3}{8}x^4 + \frac{5}{16}x^6 + o(x^6)

2、 双曲函数与反双曲函数#

  • 双曲正弦 sinh⁡x\sinh x

sinh⁡x=ex−e−x2=x+x33!+x55!+⋯+x2n+1(2n+1)!+o(x2n+2)\sinh x = \frac{e^x - e^{-x}}{2} = x + \frac{x^3}{3!} + \frac{x^5}{5!} + \cdots + \frac{x^{2n+1}}{(2n+1)!} + o(x^{2n+2})

  • 双曲余弦 cosh⁡x\cosh x

cosh⁡x=ex+e−x2=1+x22!+x44!+⋯+x2n(2n)!+o(x2n+1)\cosh x = \frac{e^x + e^{-x}}{2} = 1 + \frac{x^2}{2!} + \frac{x^4}{4!} + \cdots + \frac{x^{2n}}{(2n)!} + o(x^{2n+1})

  • 双曲正切 tanh⁡x\tanh x

tanh⁡x=x−13x3+215x5−17315x7+o(x7)\tanh x = x - \frac{1}{3}x^3 + \frac{2}{15}x^5 - \frac{17}{315}x^7 + o(x^7)

  • 反双曲正弦 arsinh x=ln⁡(x+1+x2)\text{arsinh } x = \ln(x + \sqrt{1+x^2})

arsinh x=x−16x3+340x5−5112x7+o(x7)\text{arsinh } x = x - \frac{1}{6}x^3 + \frac{3}{40}x^5 - \frac{5}{112}x^7 + o(x^7)

  • 反双曲正切 artanh x=12ln⁡1+x1−x\text{artanh } x = \frac{1}{2}\ln \frac{1+x}{1-x}

artanh x=x+x33+x55+x77+⋯+x2n+12n+1+o(x2n+2)\text{artanh } x = x + \frac{x^3}{3} + \frac{x^5}{5} + \frac{x^7}{7} + \cdots + \frac{x^{2n+1}}{2n+1} + o(x^{2n+2})


3、 高频复合结构与拆分展开#

在计算中,常需要利用已知的基本展开式进行逐项相乘、复合或求导/积分:

(1). 对数与余弦复合 ln⁡(cos⁡x)\ln(\cos x)#

ln⁡(cos⁡x)=ln⁡(1−x22+x424+o(x4))=−12x2−112x4−145x6+o(x6)\ln(\cos x) = \ln\left(1 - \frac{x^2}{2} + \frac{x^4}{24} + o(x^4)\right) = -\frac{1}{2}x^2 - \frac{1}{12}x^4 - \frac{1}{45}x^6 + o(x^6)

(2). 指数与三角复合 esin⁡xe^{\sin x} 与 ecos⁡xe^{\cos x}#

  • esin⁡x=1+x+12x2−18x4−115x5+o(x5)e^{\sin x} = 1 + x + \frac{1}{2}x^2 - \frac{1}{8}x^4 - \frac{1}{15}x^5 + o(x^5)
  • ecos⁡x=e⋅ecos⁡x−1=e(1−x22+x46+o(x4))e^{\cos x} = e \cdot e^{\cos x - 1} = e \left( 1 - \frac{x^2}{2} + \frac{x^4}{6} + o(x^4) \right)

(3). 正弦与正切复合 tan⁡(sin⁡x)\tan(\sin x) 与 sin⁡(tan⁡x)\sin(\tan x)#

  • tan⁡(sin⁡x)=x+13x3−130x5+o(x5)\tan(\sin x) = x + \frac{1}{3}x^3 - \frac{1}{30}x^5 + o(x^5)
  • sin⁡(tan⁡x)=x+13x3+130x5+o(x5)\sin(\tan x) = x + \frac{1}{3}x^3 + \frac{1}{30}x^5 + o(x^5)
  • 经典差值:tan⁡(sin⁡x)−sin⁡(tan⁡x)∼−115x5\tan(\sin x) - \sin(\tan x) \sim -\frac{1}{15} x^5

4、 泰勒余项的三种常见形式#

在证明题或误差估计题中,余项形式的选择至关重要:

(1). 皮亚诺(Peano)余项(用于极限计算)#

Rn(x)=o((x−x0)n)R_n(x) = o((x - x_0)^n)

(2). 拉格朗日(Lagrange)余项(用于中值定理证明与不等式证明)#

Rn(x)=f(n+1)(ξ)(n+1)!(x−x0)n+1(ξ 介于 x0 与 x 之间)R_n(x) = \frac{f^{(n+1)}(\xi)}{(n+1)!} (x - x_0)^{n+1} \quad (\xi \text{ 介于 } x_0 \text{ 与 } x \text{ 之间})

(3). 积分余项(用于推导估计与收敛性分析)#

Rn(x)=1n!∫x0x(x−t)nf(n+1)(t) dtR_n(x) = \frac{1}{n!} \int_{x_0}^x (x - t)^n f^{(n+1)}(t) \, dt


5、 泰勒展开在极限计算中的“确定展开阶数”原则#

(1). 分式型极限:#

若分母是 xkx^k 阶无穷小,分子必须展开到 xkx^k 项(确保首个非零项显现)。

(2). 作差型极限 A−BA - B:#

将 AA 与 BB 分别展开,直到两者系数首次不相等的那一项为止,前面抵消的低阶项即为消去项。

高等数学|第0节 常用公式
https://006lp.de/posts/review-of-advanced-mathematics/0-common-formulas/
作者
Hotaru
发布于
2026-08-03
许可协议
CC BY-NC-ND 4.0