前置知识: 高等数学

公式速查表

22 minIntermediate2026/6/14

高等数学全部核心公式速查:极限、导数、积分、级数、微分方程等公式汇总。

1. 极限公式

1.1 基本极限

lim⁡x→0sin⁡xx=1\lim_{x \to 0} \frac{\sin x}{x} = 1

lim⁡x→∞(1+1x)x=e\lim_{x \to \infty} \left(1 + \frac{1}{x}\right)^x = e

lim⁡x→0ex−1x=1\lim_{x \to 0} \frac{e^x - 1}{x} = 1

lim⁡x→0ln⁡(1+x)x=1\lim_{x \to 0} \frac{\ln(1+x)}{x} = 1

lim⁡x→0(1+x)a−1x=a\lim_{x \to 0} \frac{(1+x)^a - 1}{x} = a

1.2 等价无穷小(x→0x \to 0)

原式等价
sin⁡x\sin xxx
tan⁡x\tan xxx
arcsin⁡x\arcsin xxx
arctan⁡x\arctan xxx
1−cos⁡x1 - \cos xx22\frac{x^2}{2}
ex−1e^x - 1xx
ln⁡(1+x)\ln(1+x)xx
(1+x)a−1(1+x)^a - 1axax
x−sin⁡xx - \sin xx36\frac{x^3}{6}
tan⁡x−x\tan x - xx33\frac{x^3}{3}
x−ln⁡(1+x)x - \ln(1+x)x22\frac{x^2}{2}
x−arctan⁡xx - \arctan xx33\frac{x^3}{3}

1.3 极限运算法则

若 lim⁡f(x)=A\lim f(x) = A,lim⁡g(x)=B\lim g(x) = B,则:

lim⁡[f(x)±g(x)]=A±B\lim[f(x) \pm g(x)] = A \pm B

lim⁡[f(x)⋅g(x)]=A⋅B\lim[f(x) \cdot g(x)] = A \cdot B

lim⁡f(x)g(x)=AB(B≠0)\lim \frac{f(x)}{g(x)} = \frac{A}{B} \quad (B \neq 0)

1.4 洛必达法则

对于 00\frac{0}{0} 或 ∞∞\frac{\infty}{\infty} 型未定式:

lim⁡f(x)g(x)=lim⁡f′(x)g′(x)\lim \frac{f(x)}{g(x)} = \lim \frac{f'(x)}{g'(x)}

(若右端极限存在或为无穷大)

2. 导数与微分公式

2.1 基本求导公式

函数 f(x)f(x)导数 f′(x)f'(x)
cc(常数)00
xnx^nnxn−1nx^{n-1}
axa^xaxln⁡aa^x \ln a
exe^xexe^x
log⁡ax\log_a x1xln⁡a\frac{1}{x \ln a}
ln⁡x\ln x1x\frac{1}{x}
sin⁡x\sin xcos⁡x\cos x
cos⁡x\cos x−sin⁡x-\sin x
tan⁡x\tan xsec⁡2x\sec^2 x
cot⁡x\cot x−csc⁡2x-\csc^2 x
sec⁡x\sec xsec⁡xtan⁡x\sec x \tan x
csc⁡x\csc x−csc⁡xcot⁡x-\csc x \cot x
arcsin⁡x\arcsin x11−x2\frac{1}{\sqrt{1-x^2}}
arccos⁡x\arccos x−11−x2-\frac{1}{\sqrt{1-x^2}}
arctan⁡x\arctan x11+x2\frac{1}{1+x^2}
arccot x\text{arccot}\, x−11+x2-\frac{1}{1+x^2}

2.2 求导法则

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\left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2}

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:

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

参数方程求导:

dydx=dy/dtdx/dt\frac{dy}{dx} = \frac{dy/dt}{dx/dt}

隐函数求导:

F(x,y)=0⇒dydx=−FxFyF(x,y) = 0 \Rightarrow \frac{dy}{dx} = -\frac{F_x}{F_y}

对数求导法:

y=u(x)v(x)⇒ln⁡y=v(x)ln⁡u(x)⇒y′y=v′ln⁡u+v⋅u′uy = u(x)^{v(x)} \Rightarrow \ln y = v(x)\ln u(x) \Rightarrow \frac{y'}{y} = v'\ln u + v \cdot \frac{u'}{u}

2.3 高阶导数

莱布尼茨公式:

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

常用高阶导数:

(xn)(n)=n!(x^n)^{(n)} = n!

(ex)(n)=ex(e^x)^{(n)} = e^x

(sin⁡x)(n)=sin⁡(x+nπ2)(\sin x)^{(n)} = \sin\left(x + \frac{n\pi}{2}\right)

(cos⁡x)(n)=cos⁡(x+nπ2)(\cos x)^{(n)} = \cos\left(x + \frac{n\pi}{2}\right)

(ln⁡x)(n)=(−1)n−1(n−1)!xn(\ln x)^{(n)} = \frac{(-1)^{n-1}(n-1)!}{x^n}

2.4 微分

dy=f′(x)dxdy = f'(x)dx

微分形式不变性:无论 uu 是自变量还是中间变量,dy=f′(u)dudy = f'(u)du 均成立。

3. 微分中值定理

3.1 三大中值定理

罗尔定理:若 f(x)f(x) 在 [a,b][a,b] 连续、(a,b)(a,b) 可导、f(a)=f(b)f(a)=f(b),则 ∃ξ∈(a,b)\exists \xi \in (a,b) 使 f′(ξ)=0f'(\xi) = 0。

拉格朗日中值定理:

f(b)−f(a)=f′(ξ)(b−a),ξ∈(a,b)f(b) - f(a) = f'(\xi)(b-a), \quad \xi \in (a,b)

柯西中值定理:

f(b)−f(a)g(b)−g(a)=f′(ξ)g′(ξ),ξ∈(a,b)\frac{f(b)-f(a)}{g(b)-g(a)} = \frac{f'(\xi)}{g'(\xi)}, \quad \xi \in (a,b)

3.2 泰勒公式

带拉格朗日余项:

f(x)=∑k=0nf(k)(x0)k!(x−x0)k+f(n+1)(ξ)(n+1)!(x−x0)n+1f(x) = \sum_{k=0}^{n} \frac{f^{(k)}(x_0)}{k!}(x-x_0)^k + \frac{f^{(n+1)}(\xi)}{(n+1)!}(x-x_0)^{n+1}

常用麦克劳林展开(x0=0x_0 = 0):

ex=1+x+x22!+x33!+⋯e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots

sin⁡x=x−x33!+x55!−⋯\sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots

cos⁡x=1−x22!+x44!−⋯\cos x = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdots

ln⁡(1+x)=x−x22+x33−⋯(∣x∣<1)\ln(1+x) = x - \frac{x^2}{2} + \frac{x^3}{3} - \cdots \quad (|x| < 1)

11−x=1+x+x2+x3+⋯(∣x∣<1)\frac{1}{1-x} = 1 + x + x^2 + x^3 + \cdots \quad (|x| < 1)

(1+x)a=1+ax+a(a−1)2!x2+⋯(∣x∣<1)(1+x)^a = 1 + ax + \frac{a(a-1)}{2!}x^2 + \cdots \quad (|x| < 1)

4. 不定积分公式

4.1 基本积分表

∫xndx=xn+1n+1+C(n≠−1)\int x^n dx = \frac{x^{n+1}}{n+1} + C \quad (n \neq -1)

∫1xdx=ln⁡∣x∣+C\int \frac{1}{x} dx = \ln|x| + C

∫axdx=axln⁡a+C\int a^x dx = \frac{a^x}{\ln a} + C

∫exdx=ex+C\int e^x dx = e^x + 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

∫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

∫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

∫dxa2−x2=arcsin⁡xa+C\int \frac{dx}{\sqrt{a^2-x^2}} = \arcsin\frac{x}{a} + C

∫dxa2+x2=1aarctan⁡xa+C\int \frac{dx}{a^2+x^2} = \frac{1}{a}\arctan\frac{x}{a} + C

∫dxx2±a2=ln⁡∣x+x2±a2∣+C\int \frac{dx}{\sqrt{x^2 \pm a^2}} = \ln|x + \sqrt{x^2 \pm a^2}| + C

∫dxx2−a2=12aln⁡∣x−ax+a∣+C\int \frac{dx}{x^2-a^2} = \frac{1}{2a}\ln\left|\frac{x-a}{x+a}\right| + C

4.2 积分方法

分部积分:

∫u dv=uv−∫v du\int u\, dv = uv - \int v\, du

第一换元(凑微分):

∫f[φ(x)]φ′(x) dx=∫f(u) du(u=φ(x))\int f[\varphi(x)]\varphi'(x)\,dx = \int f(u)\,du \quad (u = \varphi(x))

第二换元:

∫f(x) dx=∫f[ψ(t)]ψ′(t) dt(x=ψ(t))\int f(x)\,dx = \int f[\psi(t)]\psi'(t)\,dt \quad (x = \psi(t))

有理函数积分:部分分式分解后逐项积分。

5. 定积分公式

5.1 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)

5.2 定积分性质

∫abf(x) dx=−∫baf(x) dx\int_a^b f(x)\,dx = -\int_b^a f(x)\,dx

∫ab[αf(x)+βg(x)] dx=α∫abf(x) dx+β∫abg(x) dx\int_a^b [\alpha f(x) + \beta g(x)]\,dx = \alpha\int_a^b f(x)\,dx + \beta\int_a^b g(x)\,dx

∫abf(x) dx=∫acf(x) dx+∫cbf(x) dx\int_a^b f(x)\,dx = \int_a^c f(x)\,dx + \int_c^b f(x)\,dx

估值定理:

m(b−a)≤∫abf(x) dx≤M(b−a)m(b-a) \leq \int_a^b f(x)\,dx \leq M(b-a)

5.3 华里士公式

∫0π/2sin⁡nx dx=∫0π/2cos⁡nx dx={n−1n⋅n−3n−2⋯12⋅π2n 为偶数n−1n⋅n−3n−2⋯23⋅1n 为奇数\int_0^{\pi/2} \sin^n x\,dx = \int_0^{\pi/2} \cos^n x\,dx = \begin{cases} \frac{n-1}{n} \cdot \frac{n-3}{n-2} \cdots \frac{1}{2} \cdot \frac{\pi}{2} & n \text{ 为偶数} \\ \frac{n-1}{n} \cdot \frac{n-3}{n-2} \cdots \frac{2}{3} \cdot 1 & n \text{ 为奇数} \end{cases}

5.4 反常积分

∫a+∞f(x) dx=lim⁡b→+∞∫abf(x) dx\int_a^{+\infty} f(x)\,dx = \lim_{b \to +\infty} \int_a^b f(x)\,dx

p 积分:

∫1+∞dxxp收敛当且仅当 p>1\int_1^{+\infty} \frac{dx}{x^p} \quad \text{收敛当且仅当 } p > 1

∫01dxxp收敛当且仅当 p<1\int_0^1 \frac{dx}{x^p} \quad \text{收敛当且仅当 } p < 1

5.5 定积分应用

旋转体体积:

V=π∫ab[f(x)]2 dxV = \pi \int_a^b [f(x)]^2\,dx

弧长:

s=∫ab1+[f′(x)]2 dxs = \int_a^b \sqrt{1 + [f'(x)]^2}\,dx

曲率:

K=∣y′′∣(1+y′2)3/2K = \frac{|y''|}{(1+y'^2)^{3/2}}

6. 多元函数微分

6.1 偏导数与全微分

dz=∂z∂xdx+∂z∂ydydz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y}dy

6.2 链式法则

∂z∂u=∂z∂x∂x∂u+∂z∂y∂y∂u\frac{\partial z}{\partial u} = \frac{\partial z}{\partial x}\frac{\partial x}{\partial u} + \frac{\partial z}{\partial y}\frac{\partial y}{\partial u}

6.3 方向导数与梯度

∂f∂l=∇f⋅l0=fxcos⁡α+fycos⁡β\frac{\partial f}{\partial l} = \nabla f \cdot \mathbf{l}^0 = f_x \cos\alpha + f_y \cos\beta

∇f=(∂f∂x,∂f∂y)\nabla f = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}\right)

6.4 极值判定

必要条件:fx(x0,y0)=0f_x(x_0,y_0) = 0,fy(x0,y0)=0f_y(x_0,y_0) = 0

充分条件:令 A=fxxA = f_{xx},B=fxyB = f_{xy},C=fyyC = f_{yy},Δ=AC−B2\Delta = AC - B^2

  • Δ>0\Delta > 0,A<0A < 0:极大值
  • Δ>0\Delta > 0,A>0A > 0:极小值
  • Δ<0\Delta < 0:鞍点
  • Δ=0\Delta = 0:无法判定

6.5 拉格朗日乘数法

L(x,y,λ)=f(x,y)+λφ(x,y)L(x,y,\lambda) = f(x,y) + \lambda \varphi(x,y)

∂L∂x=0,∂L∂y=0,∂L∂λ=0\frac{\partial L}{\partial x} = 0, \quad \frac{\partial L}{\partial y} = 0, \quad \frac{\partial L}{\partial \lambda} = 0

7. 重积分

7.1 二重积分

直角坐标:

∬Df(x,y) dσ=∫abdx∫φ1(x)φ2(x)f(x,y) dy\iint_D f(x,y)\,d\sigma = \int_a^b dx \int_{\varphi_1(x)}^{\varphi_2(x)} f(x,y)\,dy

极坐标:

∬Df(x,y) dσ=∫αβdθ∫r1(θ)r2(θ)f(rcos⁡θ,rsin⁡θ)⋅r dr\iint_D f(x,y)\,d\sigma = \int_\alpha^\beta d\theta \int_{r_1(\theta)}^{r_2(\theta)} f(r\cos\theta, r\sin\theta) \cdot r\,dr

7.2 三重积分

柱坐标:

∭Ωf dV=∫αβdθ∫r1(θ)r2(θ)r dr∫z1(r,θ)z2(r,θ)f(rcos⁡θ,rsin⁡θ,z) dz\iiint_\Omega f\,dV = \int_\alpha^\beta d\theta \int_{r_1(\theta)}^{r_2(\theta)} r\,dr \int_{z_1(r,\theta)}^{z_2(r,\theta)} f(r\cos\theta, r\sin\theta, z)\,dz

球坐标:

∭Ωf dV=∫02πdθ∫0πdφ∫0Rf(rsin⁡φcos⁡θ,rsin⁡φsin⁡θ,rcos⁡φ)⋅r2sin⁡φ dr\iiint_\Omega f\,dV = \int_0^{2\pi} d\theta \int_0^\pi d\varphi \int_0^R f(r\sin\varphi\cos\theta, r\sin\varphi\sin\theta, r\cos\varphi) \cdot r^2\sin\varphi\,dr

8. 曲线积分与曲面积分

8.1 第一类曲线积分

∫Lf(x,y) ds=∫αβf[x(t),y(t)]x′2(t)+y′2(t) dt\int_L f(x,y)\,ds = \int_\alpha^\beta f[x(t),y(t)]\sqrt{x'^2(t)+y'^2(t)}\,dt

8.2 第二类曲线积分

∫LP dx+Q dy=∫αβ[Px′(t)+Qy′(t)] dt\int_L P\,dx + Q\,dy = \int_\alpha^\beta [Px'(t) + Qy'(t)]\,dt

格林公式:

∮LP dx+Q dy=∬D(∂Q∂x−∂P∂y)dxdy\oint_L P\,dx + Q\,dy = \iint_D \left(\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}\right) dxdy

8.3 第一类曲面积分

∬Σf dS=∬Dxyf[x,y,z(x,y)]1+zx2+zy2 dxdy\iint_\Sigma f\,dS = \iint_{D_{xy}} f[x,y,z(x,y)]\sqrt{1+z_x^2+z_y^2}\,dxdy

8.4 第二类曲面积分

高斯公式:

∯ΣP dydz+Q dzdx+R dxdy=∭Ω(∂P∂x+∂Q∂y+∂R∂z)dV\oiint_\Sigma P\,dydz + Q\,dzdx + R\,dxdy = \iiint_\Omega \left(\frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z}\right) dV

斯托克斯公式:

∮ΓP dx+Q dy+R dz=∬Σ∣dydzdzdxdxdy∂∂x∂∂y∂∂zPQR∣\oint_\Gamma P\,dx + Q\,dy + R\,dz = \iint_\Sigma \begin{vmatrix} dydz & dzdx & dxdy \\ \frac{\partial}{\partial x} & \frac{\partial}{\partial y} & \frac{\partial}{\partial z} \\ P & Q & R \end{vmatrix}

9. 无穷级数

9.1 常数项级数审敛法

比值审敛法:

lim⁡n→∞an+1an=ρ⇒{ρ<1收敛ρ>1发散ρ=1不确定\lim_{n\to\infty} \frac{a_{n+1}}{a_n} = \rho \Rightarrow \begin{cases} \rho < 1 & \text{收敛} \\ \rho > 1 & \text{发散} \\ \rho = 1 & \text{不确定} \end{cases}

根值审敛法:

lim⁡n→∞ann=ρ⇒同上\lim_{n\to\infty} \sqrt[n]{a_n} = \rho \Rightarrow \text{同上}

9.2 幂级数

收敛半径:

R=lim⁡n→∞∣anan+1∣R = \lim_{n\to\infty} \left|\frac{a_n}{a_{n+1}}\right|

9.3 傅里叶级数

f(x)=a02+∑n=1∞(ancos⁡nπxl+bnsin⁡nπxl)f(x) = \frac{a_0}{2} + \sum_{n=1}^{\infty}\left(a_n \cos\frac{n\pi x}{l} + b_n \sin\frac{n\pi x}{l}\right)

an=1l∫−llf(x)cos⁡nπxl dx,bn=1l∫−llf(x)sin⁡nπxl dxa_n = \frac{1}{l}\int_{-l}^{l} f(x)\cos\frac{n\pi x}{l}\,dx, \quad b_n = \frac{1}{l}\int_{-l}^{l} f(x)\sin\frac{n\pi x}{l}\,dx

10. 常微分方程

10.1 一阶微分方程

可分离变量:

dydx=f(x)g(y)⇒∫dyg(y)=∫f(x) dx\frac{dy}{dx} = f(x)g(y) \Rightarrow \int \frac{dy}{g(y)} = \int f(x)\,dx

齐次方程:

dydx=φ(yx)→u=y/xxdudx=φ(u)−u\frac{dy}{dx} = \varphi\left(\frac{y}{x}\right) \xrightarrow{u=y/x} x\frac{du}{dx} = \varphi(u) - u

一阶线性:

y′+P(x)y=Q(x)⇒y=e−∫P dx[∫Qe∫P dx dx+C]y' + P(x)y = Q(x) \Rightarrow y = e^{-\int P\,dx}\left[\int Q e^{\int P\,dx}\,dx + C\right]

10.2 二阶常系数线性方程

y′′+py′+qy=0y'' + py' + qy = 0

特征方程 r2+pr+q=0r^2 + pr + q = 0:

判别式特征根通解
Δ>0\Delta > 0r1≠r2r_1 \neq r_2(实根)y=C1er1x+C2er2xy = C_1 e^{r_1 x} + C_2 e^{r_2 x}
Δ=0\Delta = 0r1=r2=rr_1 = r_2 = ry=(C1+C2x)erxy = (C_1 + C_2 x)e^{rx}
Δ<0\Delta < 0r=α±βir = \alpha \pm \beta iy=eαx(C1cos⁡βx+C2sin⁡βx)y = e^{\alpha x}(C_1 \cos\beta x + C_2 \sin\beta x)