Test#002

2026/08/20 16:19
2026/08/20 16:21
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KaTeX\KaTeX Test Suite

1. Inline & Display Math

  • Inline: E=mc2E = mc^2, a2+b2=c2a^2 + b^2 = c^2, f(x)=sin(x)f(x) = \sin(x)
  • Display:
limx0sinxx=1\lim_{x \to 0} \frac{\sin x}{x} = 1 ex2dx=π\int_{-\infty}^{\infty} e^{-x^2} \, dx = \sqrt{\pi}

2. Greek Letters (Complete 24 Letters & Variants)

  • Lowercase:
α,β,γ,δ,ϵ,ζ,η,θ,ι,κ,λ,μ,ν,ξ,ο,π,ρ,σ,τ,υ,ϕ,χ,ψ,ω\alpha, \beta, \gamma, \delta, \epsilon, \zeta, \eta, \theta, \iota, \kappa, \lambda, \mu, \nu, \xi, \omicron, \pi, \rho, \sigma, \tau, \upsilon, \phi, \chi, \psi, \omega
  • Uppercase:
A,B,Γ,Δ,E,Z,H,Θ,I,K,Λ,M,N,Ξ,O,Π,P,Σ,T,Υ,Φ,X,Ψ,ΩA, B, \Gamma, \Delta, E, Z, H, \Theta, I, K, \Lambda, M, N, \Xi, O, \Pi, P, \Sigma, T, \Upsilon, \Phi, X, \Psi, \Omega
  • Variants:
ε,ϑ,ϰ,ϖ,ϱ,ς,φ,Γ,Δ,Θ,Λ,Ξ,Π,Σ,Υ,Φ,Ψ,Ω\varepsilon, \vartheta, \varkappa, \varpi, \varrho, \varsigma, \varphi, \varGamma, \varDelta, \varTheta, \varLambda, \varXi, \varPi, \varSigma, \varUpsilon, \varPhi, \varPsi, \varOmega

3. Mathematical Symbols & Logic

  • Operators & Relations: ±,,×,÷,,,,,,,,,,\pm, \mp, \times, \div, \cdot, \neq, \le, \ge, \approx, \equiv, \propto, \infty, \partial, \nabla
  • Sets & Logic: ,,,,,,,,,    ,    ,,,R,C,Z,N\in, \notin, \subset, \subseteq, \cup, \cap, \emptyset, \forall, \exists, \implies, \iff, \to, \mapsto, \mathbb{R}, \mathbb{C}, \mathbb{Z}, \mathbb{N}

4. Structures (Matrices, Cases, Alignment)

Matrices & Delimiters

(abcd),[1001],xyzw,(i=1nxij=1myj)\begin{pmatrix} a & b \\ c & d \end{pmatrix}, \quad \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}, \quad \begin{vmatrix} x & y \\ z & w \end{vmatrix}, \quad \left( \frac{\sum_{i=1}^n x_i}{\prod_{j=1}^m y_j} \right)

Cases & Alignment

f(x)={x(x<0)0(x=0)x(x>0)2x+y=5x3y=1f(x) = \begin{cases} -x & (x < 0) \\ 0 & (x = 0) \\ x & (x > 0) \end{cases} \qquad \begin{aligned} 2x + y &= 5 \\ x - 3y &= -1 \end{aligned}

5. Famous Mathematical & Physical Equations (Samples)

Algebra, Analysis, and Geometry

  • Euler's Identity & Euler's Formula eiπ+1=0,eiθ=cosθ+isinθe^{i\pi} + 1 = 0, \qquad e^{i\theta} = \cos\theta + i\sin\theta
  • Gaussian Integral ex2dx=π\int_{-\infty}^{\infty} e^{-x^2} \, dx = \sqrt{\pi}
  • Basel Problem (ζ(2)\zeta(2)) n=11n2=1+14+19+116+=π26\sum_{n=1}^{\infty} \frac{1}{n^2} = 1 + \frac{1}{4} + \frac{1}{9} + \frac{1}{16} + \cdots = \frac{\pi^2}{6}
  • Cauchy's Integral Formula f(a)=12πiγf(z)zadzf(a) = \frac{1}{2\pi i} \oint_\gamma \frac{f(z)}{z - a} \, dz
  • Fourier Transform & Inverse Fourier Transform f^(ξ)=f(x)e2πixξdx,f(x)=f^(ξ)e2πixξdξ\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x) e^{-2\pi i x \xi} \, dx, \qquad f(x) = \int_{-\infty}^{\infty} \hat{f}(\xi) e^{2\pi i x \xi} \, d\xi
  • Binomial Theorem (x+y)n=k=0n(nk)xnkyk(x + y)^n = \sum_{k=0}^n \binom{n}{k} x^{n-k} y^k
  • Cauchy-Schwarz Inequality (k=1nakbk)2(k=1nak2)(k=1nbk2)\left( \sum_{k=1}^n a_k b_k \right)^2 \le \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right)

Physics and Applied Mathematics

  • Maxwell's Equations (Electromagnetism) E=ρε0B=0×E=Bt×B=μ0J+μ0ε0Et\begin{aligned} \nabla \cdot \mathbf{E} &= \frac{\rho}{\varepsilon_0} & \nabla \cdot \mathbf{B} &= 0 \\ \nabla \times \mathbf{E} &= -\frac{\partial \mathbf{B}}{\partial t} \qquad & \nabla \times \mathbf{B} &= \mu_0 \mathbf{J} + \mu_0 \varepsilon_0 \frac{\partial \mathbf{E}}{\partial t} \end{aligned}
  • Schrödinger Equation (Quantum Mechanics) itψ(r,t)=(22m2+V(r,t))ψ(r,t)i\hbar \frac{\partial}{\partial t} \psi(\mathbf{r}, t) = \left( -\frac{\hbar^2}{2m} \nabla^2 + V(\mathbf{r}, t) \right) \psi(\mathbf{r}, t)
  • Einstein Field Equations (General Relativity) Gμν+Λgμν=8πGc4TμνG_{\mu\nu} + \Lambda g_{\mu\nu} = \frac{8\pi G}{c^4} T_{\mu\nu}
  • Navier-Stokes Equations (Fluid Dynamics) ρ(ut+(u)u)=p+μ2u+f\rho \left( \frac{\partial \mathbf{u}}{\partial t} + (\mathbf{u} \cdot \nabla)\mathbf{u} \right) = -\nabla p + \mu \nabla^2 \mathbf{u} + \mathbf{f}
  • Heat Equation / Diffusion Equation ut=α2u\frac{\partial u}{\partial t} = \alpha \nabla^2 u
  • Normal Distribution (Probability Density Function) f(x)=1σ2πexp((xμ)22σ2)f(x) = \frac{1}{\sigma \sqrt{2\pi}} \exp \left( -\frac{(x - \mu)^2}{2\sigma^2} \right)