公式

三角公式

三角函数

sin⁡x=eix−e−ix2icos⁡x=eix+e−ix2\begin{aligned} \sin x &= \frac{e^{ix} - e^{-ix}}{2i} \\ \cos x &= \frac{e^{ix} + e^{-ix}}{2} \end{aligned}

加减

sin⁡(x+y)=sin⁡xcos⁡y+cos⁡xsin⁡ysin⁡(x−y)=sin⁡xcos⁡y−cos⁡xsin⁡ycos⁡(x+y)=cos⁡xcos⁡y−sin⁡xsin⁡ycos⁡(x−y)=cos⁡xcos⁡y+sin⁡xsin⁡y\begin{aligned} \sin(x+y) &= \sin x \cos y + \cos x \sin y \\ \sin(x-y) &= \sin x \cos y - \cos x \sin y \\ \cos(x+y) &= \cos x \cos y - \sin x \sin y \\ \cos(x-y) &= \cos x \cos y + \sin x \sin y \end{aligned}

和差化积

sin⁡x+sin⁡y=2sin⁡x+y2cos⁡x−y2sin⁡x−sin⁡y=2cos⁡x+y2sin⁡x−y2cos⁡x+cos⁡y=2cos⁡x+y2cos⁡x−y2cos⁡x−cos⁡y=−2sin⁡x+y2sin⁡x−y2\begin{aligned} \sin x + \sin y &= 2 \sin \frac{x+y}{2} \cos \frac{x-y}{2} \\ \sin x - \sin y &= 2 \cos \frac{x+y}{2} \sin \frac{x-y}{2} \\ \cos x + \cos y &= 2 \cos \frac{x+y}{2} \cos \frac{x-y}{2} \\ \cos x - \cos y &= -2 \sin \frac{x+y}{2} \sin \frac{x-y}{2} \end{aligned}

积化和差

sin⁡xsin⁡y=12[cos⁡(x−y)−cos⁡(x+y)]cos⁡xcos⁡y=12[cos⁡(x+y)+cos⁡(x−y)]sin⁡xcos⁡y=12[sin⁡(x+y)+sin⁡(x−y)]cos⁡xsin⁡y=12[sin⁡(x+y)−sin⁡(x−y)]\begin{aligned} \sin x \sin y &= \frac{1}{2} [\cos (x-y) - \cos (x+y)] \\ \cos x \cos y &= \frac{1}{2} [\cos (x+y) + \cos (x-y)] \\ \sin x \cos y &= \frac{1}{2} [\sin (x+y) + \sin (x-y)] \\ \cos x \sin y &= \frac{1}{2} [\sin (x+y) - \sin (x-y)] \end{aligned}

万能公式

sin⁡x=2tan⁡x21+tan⁡2x2cos⁡x=1−tan⁡2x21+tan⁡2x2tan⁡x=2tan⁡x21−tan⁡2x2\begin{aligned} \sin x &= \frac{2 \tan \frac{x}{2}}{1 + \tan^2 \frac{x}{2}} \\ \cos x &= \frac{1 - \tan^2 \frac{x}{2}}{1 + \tan^2 \frac{x}{2}} \\ \tan x &= \frac{2 \tan \frac{x}{2}}{1 - \tan^2 \frac{x}{2}} \end{aligned}

算符

微分算符 ∇\nabla

∇=∂∂xi+∂∂yj+∂∂zk\nabla = \frac{\partial}{\partial x}i + \frac{\partial}{\partial y}j + \frac{\partial}{\partial z}k

梯度

∇f=∂f∂xi+∂f∂yj+∂f∂zk\nabla f = \frac{\partial f}{\partial x}i + \frac{\partial f}{\partial y}j + \frac{\partial f}{\partial z}k

散度

∇⋅F⃗=∂Fx∂x+∂Fy∂y+∂Fz∂z\nabla \cdot \vec{F} = \frac{\partial F_x}{\partial x} + \frac{\partial F_y}{\partial y} + \frac{\partial F_z}{\partial z}

旋度

∇×F⃗=∣ijk∂∂x∂∂y∂∂zFxFyFz∣\nabla \times \vec{F} = \begin{vmatrix} i & j & k \\ \frac{\partial}{\partial x} & \frac{\partial}{\partial y} & \frac{\partial}{\partial z} \\ F_x & F_y & F_z \end{vmatrix}

拉普拉斯算符 Δ\Delta

Δ=∇2=∂2∂x2+∂2∂y2+∂2∂z2\Delta = \nabla^2 = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2}

Kronecker delta

δij={1i=j0i≠j\delta_{ij} = \begin{cases} 1 & i = j \\ 0 & i \neq j \end{cases}

Stirling 公式

n!∼2πn(ne)nn! \sim \sqrt{2\pi n} \left(\frac{n}{e}\right)^n

ln⁡n!=nln⁡n−n+12ln⁡(2πn)+O(1n)\ln n! = n \ln n - n + \frac{1}{2} \ln(2\pi n) + O\left(\frac{1}{n}\right)

Wallis 公式

π2=lim⁡n→∞[(2n)!!(2n−1)!!]212n+1\frac{\pi}{2} = \lim_{n\to \infty} \left[\frac{(2n)!!}{(2n-1)!!}\right]^2 \frac{1}{2n+1}

Euler 公式

eix=cos⁡x+isin⁡xe^{ix} = \cos x + i \sin x

量子力学

Schrodinger 方程

iℏ∂ψ∂t=H^ψi \hbar \frac{\partial \psi}{\partial t} = \hat{H} \psi

H^=−ℏ22m∇2+V\hat{H} = -\frac{\hbar^2}{2m} \nabla^2 + V

定态薛定谔方程

H^ψ=EψΨ=ψe−iEt/ℏ\hat{H} \psi = E \psi\qquad \Psi = \psi e^{-iEt/\hbar}

动量算符

p^=−iℏ∇\hat{p} = -i\hbar \nabla

含时期望值

d<Q>dt=iℏ<[Q,H]>+<∂Q^∂t>\frac{d<Q>}{dt} = \frac{i}{\hbar} <[Q,H]>+<\frac{\partial\hat Q}{\partial t}>

能量期望值

<H>=<E><H> = <E>

海森堡不确定性关系

σxσp≥ℏ2\sigma_x \sigma_p \geq \frac{\hbar}{2}

广义不确定性关系

σAσB≥∣12i<[A,B]>∣\sigma_A \sigma_B \geq \left|\frac{1}{2i} <[A,B]> \right|

积分公式

三角函数

∫xsin⁡(ax)dx=1a2sin⁡(ax)−xacos⁡(ax)\int x \sin(ax) dx = \frac{1}{a^2} \sin(ax) - \frac{x}{a} \cos(ax)

∫xcos⁡(ax)dx=1a2cos⁡(ax)+xasin⁡(ax)\int x \cos(ax) dx = \frac{1}{a^2} \cos(ax) + \frac{x}{a} \sin(ax)

指数积分

∫0∞xne−x/adx=n!an+1\int_0^\infty x^n e^{-x/a} dx = n! a^{n+1}

Gauss 积分

∫−∞∞e−x2/2σ2dx=2πσ2\int_{-\infty}^\infty e^{-x^2/2\sigma^2} dx = \sqrt{2\pi\sigma^2}

∫0∞x2ne−x2/a2dx=π(2n)!n!(a2)2n+1\int_0^{\infty} x^{2n}e^{-x^2/a^2} dx = \sqrt{\pi} \frac{(2n)!}{n!} \left(\frac{a}{2}\right)^{2n+1}

∫0∞x2n+1e−x2/a2dx=n!2a2n+2\int_0^{\infty} x^{2n+1}e^{-x^2/a^2} dx = \frac{n!}{2} a^{2n+2}

分部积分

∫udv=uv−∫vdu\int u dv = uv - \int v du

Taylor 展开

f(x)=∑n=0∞cn(x−a)nf(x) = \sum_{n=0}^{\infty} c_n (x-a)^n

cn=f(n)(a)n!c_n = \frac{f^{(n)}(a)}{n!}

Laurent 展开

f(z)=∑n=−∞∞cn(z−z0)nf(z) = \sum_{n=-\infty}^{\infty} c_n (z-z_0)^n

cn=12πi∮Cf(z)(z−z0)n+1dzc_n = \frac{1}{2\pi i} \oint_C \frac{f(z)}{(z-z_0)^{n+1}} dz

Fourier 级数

f(x)=∑n=−∞∞cnei2πnTxf(x) = \sum_{n=-\infty}^{\infty} c_n e^{i\frac{2\pi n}{T}x}

cn=⟨f(x),ei2πnTx⟩=1T∫0Tf(x)e−i2πnTxdxc_n = \langle f(x), e^{i\frac{2\pi n}{T}x} \rangle = \frac{1}{T} \int_{0}^{T} f(x) e^{-i\frac{2\pi n}{T}x} dx

Fourier 变换

F(k)=∫−∞∞f(x)e−ikxdxF(k) = \int_{-\infty}^{\infty} f(x) e^{-ikx} dx

Fourier 逆变换

f(x)=∫−∞∞F(k)eikxdkf(x) = \int_{-\infty}^{\infty} F(k) e^{ikx} dk

Laplace 变换

Laplace 变换

F(s)=L[f(t)]F(s) = L[f(t)]

F(s)=∫0∞f(t)e−stdtF(s) = \int_0^\infty f(t) e^{-st} dt

Laplace 逆变换

f(t)=L−1[F(s)]f(t) = L^{-1}[F(s)]

f(t)=12πi∫γ−i∞γ+i∞F(s)estdsf(t) = \frac{1}{2\pi i} \int_{\gamma-i\infty}^{\gamma+i\infty} F(s) e^{st} ds

Gauss 公式

∫V∇⋅F⃗dV=∮SF⃗⋅dS⃗\int_V \nabla \cdot \vec{F} dV = \oint_S \vec{F} \cdot d\vec{S}

Stokes 公式

∮CF⃗⋅dl⃗=∫S(∇×F⃗)⋅dS⃗\oint_C \vec{F} \cdot d\vec{l} = \int_S (\nabla \times \vec{F}) \cdot d\vec{S}

Green 公式

∮CF⃗⋅dl⃗=∫S(∇×F⃗)⋅dS⃗\oint_C \vec{F} \cdot d\vec{l} = \int_S (\nabla \times \vec{F}) \cdot d\vec{S}

Cauchy 公式

f(z0)=12πi∮Cf(z)z−z0dzf(z_0)=\frac{1}{2\pi i} \oint_C \frac{f(z)}{z-z_0} dz

不等式

均值不等式

算术平均数

a1+a2+⋯+ann≥a1a2⋯ann\frac{a_1 + a_2 + \cdots + a_n}{n} \geq \sqrt[n]{a_1 a_2 \cdots a_n}

几何平均数

a1a2⋯ann≤a1+a2+⋯+ann\sqrt[n]{a_1 a_2 \cdots a_n} \leq \frac{a_1 + a_2 + \cdots + a_n}{n}

调和平均数

n1a1+1a2+⋯+1an≤a1+a2+⋯+ann\frac{n}{\frac{1}{a_1} + \frac{1}{a_2} + \cdots + \frac{1}{a_n}} \leq \frac{a_1 + a_2 + \cdots + a_n}{n}

Cauchy-Schwarz 不等式

⟨f,g⟩2≤⟨f,f⟩⟨g,g⟩\langle f,g \rangle^2 \leq \langle f,f \rangle \langle g,g \rangle

Minkowski 不等式(三角不等式)

∥f+g∥p≤∥f∥p+∥g∥p\|f + g\|_p \leq \|f\|_p + \|g\|_p

Holder 不等式

p,q,r∈[1,∞)p,q,r\in [1,\infty) and 1p+1q=1r\frac{1}{p}+\frac{1}{q}=\frac{1}{r}

∥fg∥r≤∥f∥p∥g∥q\|fg\|_r \leq \|f\|_p \|g\|_q

Schur 不等式

For x,y,z≥0∈Rx,y,z\geq 0\in \mathbb{R} and t>0t>0:

xt(x−y)(x−z)+yt(y−x)(y−z)+zt(z−x)(z−y)≥0x^t(x-y)(x-z)+y^t(y-x)(y-z)+z^t(z-x)(z-y)\geq 0

Gronwall 不等式

β,u\beta,u are continuous real functions on [a,∞)[a,\infty) or [a,b][a,b] or [a,b)[a,b), if β(t)≥0\beta(t)\geq 0 and u(t)u(t) satisfies:

ddtu(t)≤β(t)u(t)\frac{d}{dt} u(t) \leq \beta(t) u(t)

then:

u(t)≤u(a)e∫atβ(s)dsu(t) \leq u(a) e^{\int_a^t \beta(s) ds}

能量模不等式

S(x)S(x) is cubic spline function (polynomial of degree 3), ϕ(x)∈C2[a,b]\phi(x)\in C^2[a,b] and they satisfy the same interpolation conditions, then:

∫ab∣ϕ′′(x)∣2dx≥∫ab∣S′′(x)∣2dx\int_a^b |\phi''(x)|^2 dx \geq \int _a^b | S''(x)|^2 dx

重要函数

Gamma 函数

Γ(x)=∫0∞tx−1e−tdt\Gamma(x) = \int_0^\infty t^{x-1} e^{-t} dt

Beta 函数

B(x,y)=∫01tx−1(1−t)y−1dtB(x,y) = \int_0^1 t^{x-1} (1-t)^{y-1} dt

Riemann Zeta 函数

ζ(s)=∑n=1∞1ns=1Γ(s)∫0∞xs−1ex−1dx(Re(s)>1)\zeta(s) = \sum_{n=1}^\infty \frac{1}{n^s}=\frac{1}{\Gamma(s)}\int_0^\infty \frac{x^{s-1}}{e^x-1} dx \qquad(\mathrm{Re}(s)>1)

Bessel 贝塞尔函数

Jn(x)=∑m=0∞(−1)mm!(n+m)!(x2)n+2mJ_n(x) = \sum_{m=0}^{\infty} \frac{(-1)^m}{m!(n+m)!} \left(\frac{x}{2}\right)^{n+2m}

Legendre 勒让德多项式

Pn(x)=12nn!dndxn(x2−1)nP_n(x) = \frac{1}{2^n n!} \frac{d^n}{dx^n} (x^2-1)^n

Hermite 厄米多项式

Hn(x)=(−1)nex2dndxne−x2H_n(x) = (-1)^n e^{x^2} \frac{d^n}{dx^n} e^{-x^2}

Laguerre 拉盖尔多项式

Ln(x)=exn!dndxn(xne−x)L_n(x) = \frac{e^x}{n!} \frac{d^n}{dx^n} (x^n e^{-x})

Chebyshev 切比雪夫多项式

Tn(x)=cos⁡(narccos⁡x)T_n(x) = \cos(n \arccos x)

Bernoulli 多项式

Is a series of Bn(x)B_n(x) that satisfies:

{B0(x)=1,Bn′(x)=nBn−1(x)∫01Bn(x)dx=0,x∈N\begin{cases} B_0(x) = 1, \\ B_n'(x) = n B_{n-1}(x) \quad \int_0^1 B_n(x) dx = 0,\quad x\in \mathbb{N} \end{cases}

Bernoulli 数:

bn=n!Bn(0),n=2,3,…b_n = n! B_n(0) ,\quad n= 2,3,\ldots


公式
https://blog.jacklit.com/2025/03/03/公式/
作者
Jack H
发布于
2025年3月3日
许可协议