LaTeX Math Demo

LaTeX Math Demo

This post demonstrates various LaTeX math formulas rendered with KaTeX.

Calculus

Derivatives

ddx(axf(t)dt)=f(x)\frac{d}{dx} \left( \int_{a}^{x} f(t)\,dt \right) = f(x)

The product rule:

(fg)=fg+fg(fg)' = f'g + fg'

Integrals

Double integral:

Df(x,y)dxdy\iint_{D} f(x,y)\,dx\,dy

Line integral:

CFdr\oint_{C} \vec{F} \cdot d\vec{r}

Linear Algebra

Matrix:

A=(a11a12a13a21a22a23a31a32a33)A = \begin{pmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{pmatrix}

Determinant:

det(A)=σSnsgn(σ)i=1nai,σ(i)\det(A) = \sum_{\sigma \in S_n} \operatorname{sgn}(\sigma) \prod_{i=1}^{n} a_{i,\sigma(i)}

Physics

Maxwell’s equations:

E=ρε0B=0×E=Bt×B=μ0J+μ0ε0Et\begin{aligned} \nabla \cdot \vec{E} &= \frac{\rho}{\varepsilon_0} \\ \nabla \cdot \vec{B} &= 0 \\ \nabla \times \vec{E} &= -\frac{\partial \vec{B}}{\partial t} \\ \nabla \times \vec{B} &= \mu_0\vec{J} + \mu_0\varepsilon_0\frac{\partial \vec{E}}{\partial t} \end{aligned}

Schrödinger equation:

itΨ=H^Ψi\hbar\frac{\partial}{\partial t}|\Psi\rangle = \hat{H}|\Psi\rangle

Statistics

Normal distribution:

f(x)=1σ2πe12(xμσ)2f(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}

Bayes’ theorem:

P(AB)=P(BA)P(A)P(B)P(A|B) = \frac{P(B|A)\,P(A)}{P(B)}

Greek Alphabet

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 Γ,Δ,Θ,Λ,Ξ,Π,Σ,Φ,Ψ,Ω\Gamma, \Delta, \Theta, \Lambda, \Xi, \Pi, \Sigma, \Phi, \Psi, \Omega