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

limx0sinxx=1\lim_{x \to 0} \frac{\sin x}{x} = 1

limx(1+1x)x=e\lim_{x \to \infty} \left(1 + \frac{1}{x}\right)^x = e

limx0ex1x=1\lim_{x \to 0} \frac{e^x - 1}{x} = 1

limx0ln(1+x)x=1\lim_{x \to 0} \frac{\ln(1+x)}{x} = 1

limx0(1+x)a1x=a\lim_{x \to 0} \frac{(1+x)^a - 1}{x} = a

1.2 等价无穷小x0x \to 0

原式等价
sinx\sin xxx
tanx\tan xxx
arcsinx\arcsin xxx
arctanx\arctan xxx
1cosx1 - \cos xx22\frac{x^2}{2}
ex1e^x - 1xx
ln(1+x)\ln(1+x)xx
(1+x)a1(1+x)^a - 1axax
xsinxx - \sin xx36\frac{x^3}{6}
tanxx\tan x - xx33\frac{x^3}{3}
xln(1+x)x - \ln(1+x)x22\frac{x^2}{2}
xarctanxx - \arctan xx33\frac{x^3}{3}

1.3 极限运算法则

limf(x)=A\lim f(x) = Alimg(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)]=AB\lim[f(x) \cdot g(x)] = A \cdot B

limf(x)g(x)=AB(B0)\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}\frac{\infty}{\infty} 型未定式:

limf(x)g(x)=limf(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^nnxn1nx^{n-1}
axa^xaxlnaa^x \ln a
exe^xexe^x
logax\log_a x1xlna\frac{1}{x \ln a}
lnx\ln x1x\frac{1}{x}
sinx\sin xcosx\cos x
cosx\cos xsinx-\sin x
tanx\tan xsec2x\sec^2 x
cotx\cot xcsc2x-\csc^2 x
secx\sec xsecxtanx\sec x \tan x
cscx\csc xcscxcotx-\csc x \cot x
arcsinx\arcsin x11x2\frac{1}{\sqrt{1-x^2}}
arccosx\arccos x11x2-\frac{1}{\sqrt{1-x^2}}
arctanx\arctan x11+x2\frac{1}{1+x^2}
arccotx\text{arccot}\, x11+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)=uv+uv(uv)' = u'v + uv'

(uv)=uvuvv2\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

[f1](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)=0dydx=FxFyF(x,y) = 0 \Rightarrow \frac{dy}{dx} = -\frac{F_x}{F_y}

对数求导法

y=u(x)v(x)lny=v(x)lnu(x)yy=vlnu+vuuy = 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(nk)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

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

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

(lnx)(n)=(1)n1(n1)!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)[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)(ba),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!(xx0)k+f(n+1)(ξ)(n+1)!(xx0)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

sinx=xx33!+x55!\sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots

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

ln(1+x)=xx22+x33(x<1)\ln(1+x) = x - \frac{x^2}{2} + \frac{x^3}{3} - \cdots \quad (|x| < 1)

11x=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(a1)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

xndx=xn+1n+1+C(n1)\int x^n dx = \frac{x^{n+1}}{n+1} + C \quad (n \neq -1)

1xdx=lnx+C\int \frac{1}{x} dx = \ln|x| + C

axdx=axlna+C\int a^x dx = \frac{a^x}{\ln a} + C

exdx=ex+C\int e^x dx = e^x + C

sinxdx=cosx+C\int \sin x\, dx = -\cos x + C

cosxdx=sinx+C\int \cos x\, dx = \sin x + C

tanxdx=lncosx+C\int \tan x\, dx = -\ln|\cos x| + C

cotxdx=lnsinx+C\int \cot x\, dx = \ln|\sin x| + C

secxdx=lnsecx+tanx+C\int \sec x\, dx = \ln|\sec x + \tan x| + C

cscxdx=lncscxcotx+C\int \csc x\, dx = \ln|\csc x - \cot x| + C

sec2xdx=tanx+C\int \sec^2 x\, dx = \tan x + C

csc2xdx=cotx+C\int \csc^2 x\, dx = -\cot x + C

dxa2x2=arcsinxa+C\int \frac{dx}{\sqrt{a^2-x^2}} = \arcsin\frac{x}{a} + C

dxa2+x2=1aarctanxa+C\int \frac{dx}{a^2+x^2} = \frac{1}{a}\arctan\frac{x}{a} + C

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

dxx2a2=12alnxax+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

udv=uvvdu\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=αabf(x)dx+βabg(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(ba)abf(x)dxM(ba)m(b-a) \leq \int_a^b f(x)\,dx \leq M(b-a)

5.3 华里士公式

0π/2sinnxdx=0π/2cosnxdx={n1nn3n212π2n 为偶数n1nn3n2231n 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=limb+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=πab[f(x)]2dxV = \pi \int_a^b [f(x)]^2\,dx

弧长

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

曲率

K=y(1+y2)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=zxdx+zydydz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y}dy

6.2 链式法则

zu=zxxu+zyyu\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 方向导数梯度

fl=fl0=fxcosα+fycosβ\frac{\partial f}{\partial l} = \nabla f \cdot \mathbf{l}^0 = f_x \cos\alpha + f_y \cos\beta

f=(fx,fy)\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) = 0fy(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=ACB2\Delta = AC - B^2

  • Δ>0\Delta > 0A<0A < 0:极大值
  • Δ>0\Delta > 0A>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)

Lx=0,Ly=0,Lλ=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=abdxφ1(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=αβdθr1(θ)r2(θ)f(rcosθ,rsinθ)rdr\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

ΩfdV=αβdθr1(θ)r2(θ)rdrz1(r,θ)z2(r,θ)f(rcosθ,rsinθ,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

ΩfdV=02πdθ0πdφ0Rf(rsinφcosθ,rsinφsinθ,rcosφ)r2sinφdr\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 第一曲线积分

Lf(x,y)ds=αβf[x(t),y(t)]x2(t)+y2(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 第二曲线积分

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

格林公式

LPdx+Qdy=D(QxPy)dxdy\oint_L P\,dx + Q\,dy = \iint_D \left(\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}\right) dxdy

8.3 第一曲面积分

ΣfdS=Dxyf[x,y,z(x,y)]1+zx2+zy2dxdy\iint_\Sigma f\,dS = \iint_{D_{xy}} f[x,y,z(x,y)]\sqrt{1+z_x^2+z_y^2}\,dxdy

8.4 第二曲面积分

高斯公式

ΣPdydz+Qdzdx+Rdxdy=Ω(Px+Qy+Rz)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

ΓPdx+Qdy+Rdz=ΣdydzdzdxdxdyxyzPQR\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

limnan+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

limnann=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=limnanan+1R = \lim_{n\to\infty} \left|\frac{a_n}{a_{n+1}}\right|

9.3 傅里叶级数

f(x)=a02+n=1(ancosnπxl+bnsinnπxl)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=1lllf(x)cosnπxldx,bn=1lllf(x)sinnπxldxa_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=ePdx[QePdxdx+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 > 0r1r2r_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(C1cosβx+C2sinβx)y = e^{\alpha x}(C_1 \cos\beta x + C_2 \sin\beta x)