## Saturday, 6 August 2016

### All Mathematical Symbols Name List

 Symbol Symbol Name Symbol Symbol Name = equals sign | perpendicular ≠ not equal sign || parallel > strict inequality ≅ congruent to < strict inequality ~ similarity ≥ inequality Δ triangle ≤ inequality |x-y| distance ( ) parentheses π pi constant

 [ ] brackets rad radians + plus sign grad grads − minus sign x x variable ± plus - minus ≡ equivalence ∓ minus - plus ≜ equal by definition * asterisk := equal by definition × times sign ~ approximately equal ∙ multiplication dot ≈ approximately equal ÷ division sign / obelus ∝ proportional to / division slash ∞ lemniscate – horizontal line ≪ much less than Mod modulo ≫ much greater than . period ( ) parentheses ab power [ ] brackets a^b caret { } braces √a square root x! exclamation mark 3√a cube root | x | single vertical bar 4√a fourth root f (x) function of x n√a n-th root (radical) (f ∘g) function composition % percent (a,b) open interval ‰ per-mille [a,b] closed interval ppm per-million ∆ delta ppb per-billion ∆ discriminant ppt per-trillion ∑ sigma ∠ angle ∑∑ sigma ∟ right angle ∏ capital pi º degree E e constant / Euler's number ´ arcminute Γ Euler-Mascheroni  constant ´´ arcsecond Φ golden ratio AB line segment Π pi constant ∙ dot Q2 median / second quartile × cross Q3 upper / third quartile A⊗B tensor product X sample mean [ ] brackets S 2 sample variance ( ) parentheses S sample standard deviation | A | determinant zx standard score det(A) determinant X ~ distribution of X || x || double vertical bars N(μ,σ2) normal distribution A T transpose U(a,b) uniform distribution A † Hermitian matrix exp(λ) exponential distribution A * Hermitian matrix gamma(c, λ) gamma distribution A -1 inverse matrix Χ 2(k) chi-square distribution Rank(A) matrix rank F (k1, k2) F distribution dim(U) dimension Bin(n,p) binomial distribution P(A) probability function Poisson(λ) Poisson distribution P(A ∩ B) probability of events intersection Geom(p) geometric distribution P(A ∪ B) probability of events union HG(N,K,n) hyper-geometric distribution P(A | B) conditional probability function Bern(p) Bernoulli distribution F (x) probability density function (pdf) N! Factorial F(x) Cumulative distribution function (cdf) nPk permutation Μ population mean { } Set E(X) Expectation value A ∩ B intersection E(X | Y) conditional expectation A ∪ B union var(X) variance A ⊆ B subset Σ2 variance A ⊂ B proper subset / strict subset std(X) standard deviation A ⊄ B not subset σX standard deviation A ⊇ B superset median A ⊃ B proper superset / strict superset cov(X,Y) covariance A ⊅ B not superset corr(X,Y) correlation 2A power set ρX,Y correlation A = B equality ∑ summation Ac complement ∑∑ double summation A \ B relative complement Mo mode A - B relative complement MR mid-range A ∆ B symmetric difference Md sample median A ⊖ B symmetric difference Q1 lower / first quartile a∈A element of x∉A not element of ∰ closed volume integral (a,b) ordered pair i imaginary unit A×B cartesian product Z* complex conjugate |A| cardinality z complex conjugate #A cardinality ∇ nabla / del Ø empty set x * y convolution · and δ delta function ^ caret / circumflex ∞ lemniscate & ampersand α Alpha + plus β Beta ∨ reversed caret γ Gamma | vertical line δ Delta x' single quote ε Epsilon x bar ζ Zeta ¬ not η Eta ! exclamation mark θ Theta ⊕ circled plus / oplus ι Iota ~ tilde κ Kappa ⇒ implies λ Lambda ⇔ equivalent μ Mu ↔ equivalent ν Nu ∀ for all ξ Xi ∃ there exists ο Omicron ∄ there does not exists π Pi ∴ therefore ρ Rho ∵ because / since σ Sigma ε epsilon τ Tau e e constant / Euler's number υ Upsilon y ' derivative φ Phi Y '' second derivative χ Chi Y(n) nth derivative ψ Psi Dx y derivative ω Omega Dx2 y second derivative ∫ Integral ∭ triple integral ∬ double integral ∮ closed contour / line integral ∯ closed surface integral