Math Symbols Reference Sheet

A quick reference guide to the most common mathematical symbols — their names, meanings, and examples. Print-friendly.

➕ Arithmetic 8 symbols

SymbolNameMeaningExample
+PlusAddition3 + 4 = 7
MinusSubtraction9 − 2 = 7
×Times / MultiplyMultiplication4 × 3 = 12
Dot / MultiplyMultiplication (alternate)a ⋅ b = ab
÷Divide / ObelusDivision12 ÷ 4 = 3
/Slash / Fraction barDivision (alternate)10 / 2 = 5
±Plus-MinusBoth plus and minusx = −b ± √(b²−4ac) / 2a
%PercentPer hundred (÷ 100)25% = 0.25

⚖️ Comparison 9 symbols

SymbolNameMeaningExample
=EqualsEqual to2 + 2 = 4
Not equalNot equal to3 ≠ 4
ApproximatelyRoughly equal toπ ≈ 3.1416
CongruentIdentical in shape/size△ABC ≅ △DEF
EquivalentIdentical; modular congruence7 ≡ 2 (mod 5)
<Less thanSmaller than2 < 5
>Greater thanLarger than7 > 3
Less/equalAt mostx ≤ 10
Greater/equalAt leasty ≥ 0

√ Algebra & Functions 10 symbols

SymbolNameMeaningExample
Square rootPrincipal square root√16 = 4
Cube rootThird root∛27 = 3
Fourth rootFourth root∜16 = 2
InfinityUnbounded / limitlesslim 1/x² = ∞
Sigma (sum)Sum of terms∑ᵢ₌₁ⁿ i = n(n+1)/2
Pi (product)Product of termsn! = ∏ₖ₌₁ⁿ k
Partial derivativeDerivative w.r.t. one variable∂f/∂x
Delta / changeChange; discriminantΔ = b² − 4ac
Nabla / delGradient operator∇f = (∂f/∂x, ∂f/∂y, ∂f/∂z)
dDifferentialInfinitesimal changedy/dx (derivative)

∫ Calculus & Analysis 6 symbols

SymbolNameMeaningExample
IntegralArea under a curve∫₀¹ x² dx = ⅓
Double integralIntegral over 2D area∬_R f(x,y) dA
Triple integralIntegral over 3D volume∭_V ρ dV
Contour integralIntegral along a closed loop∮_C f(z) dz
limLimitValue as input approaches pointlim_{x→0} sin x/x = 1
ApproachesTends tox → ∞

△ Geometry 8 symbols

SymbolNameMeaningExample
AngleFigure formed by two rays∠ABC = 90°
Measured angleAngle with a specific measure∡ABC = 45°
PerpendicularAt right angle (90°)AB ⊥ CD
ParallelNever intersectAB ∥ CD
°DegreeUnit of angle measureRight angle = 90°
TriangleThree-sided polygon△ABC
πPiCircle constant ≈ 3.1416C = 2πr
SimilarSame shape, different size△ABC ∼ △DEF

∈ Set Theory 10 symbols

SymbolNameMeaningExample
Element ofBelongs to a set5 ∈ ℕ
Not element ofDoes not belong−1 ∉ ℕ
SubsetEvery element in A is also in Bℕ ⊂ ℤ
Subset or equalSubset (allows equality)A ⊆ B
UnionAll elements in A or B{1,2} ∪ {2,3} = {1,2,3}
IntersectionElements in both A and B{1,2} ∩ {2,3} = {2}
Empty setSet with no elementsA ∩ A' = ∅
For allUniversal quantifier∀x > 0, x² > 0
There existsExistential quantifier∃x : x² = 4
There does not existNo element satisfies∄x : x² = −1 (in ℝ)

🧮 Logic 8 symbols

SymbolNameMeaningExample
AND (conjunction)Both trueA ∧ B
OR (disjunction)At least one trueA ∨ B
¬NOT (negation)Flips truth value¬(2+2=5)
ImpliesIf P then QRain ⇒ wet ground
Iff / equivalentIf and only ifx+1=5 ⇔ x=4
Top / trueAlways true (tautology)A ∨ ¬A ≡ ⊤
Bottom / falseAlways false (contradiction)A ∧ ¬A ≡ ⊥
ThereforeLogical conclusionAll men mortal ∴ Socrates mortal

α Greek Letters in Math 12 symbols

SymbolNameMeaningExample
αAlphaAngles; significance levelα = 0.05
βBetaRegression coefficients; anglesy = β₀ + β₁x
γGammaGamma function; Lorentz factorΓ(n) = (n−1)!
δDeltaSmall changeδx (small change in x)
εEpsilonSmall positive quantityε → 0
θThetaAngle in trigonometrysin²θ + cos²θ = 1
λLambdaEigenvalue; wavelengthAv = λv
μMuPopulation mean; micro-μ = (1/n)∑xᵢ
πPiCircle constant ≈ 3.1416C = 2πr
ρRhoDensity; correlationρ = Cov/σ_Xσ_Y
σSigmaStandard deviation68% in μ ± σ
φPhiGolden ratio; totientφ = (1+√5)/2

📐 Vectors & Matrices 6 symbols

SymbolNameMeaningExample
Vector (arrow)Vector quantityv = (v₁, v₂, v₃)
|v|MagnitudeLength of a vector|v| = √(v₁²+v₂²)
·Dot productScalar product of vectorsu · v = |u||v|cosθ
×Cross productVector product in 3Da × b = |a||b|sinθ n̂
TransposeMatrix transpose(A⊤)ᵢⱼ = Aⱼᵢ
detDeterminantScalar from a square matrixdet(A) = ad − bc

📊 Statistics & Probability 8 symbols

SymbolNameMeaningExample
Sample meanAverage of a samplex̄ = (1/n)∑xᵢ
σStandard deviationSpread of dataσ = √(∑(x−x̄)²/n)
σ²VarianceSquare of std devσ² = variance
P(A)Probability of AChance event A occursP(heads) = 0.5
E(X)Expected valueMean of random variableE(X) = ∑x·P(x)
Distributed asProbabilistic distributionX ∼ N(μ, σ²)
corrCorrelationLinear relationship strengthcorr(X,Y) ∈ [−1, 1]
!FactorialProduct of 1 to n5! = 120