Visual Tools
Calculators
Tables
Mathematical Keyboard
Converters
Other Tools

Linear Algebra Mathematical Symbols



Mathematical Logic
Calculus
Trigonometry
Set Theory
Combinatorics
Probability
Complex Numbers
matrix operationsvector spaceseigenvalues eigenvectorslinear transformationsmatrix decompositionsbasic matrix formsmatrix elementsspecial matrices
symbollatex codeexplanation
A⊤
A^\top
Matrix transpose
A⁻¹
A^{-1}
Matrix inverse
det(A)
\det(A)
Matrix determinant
tr(A)
\text{tr}(A)
Matrix trace
rank(A)
\text{rank}(A)
Matrix rank
adj(A)
\text{adj}(A)
Matrix adjugate
A⊗B
A \otimes B
Kronecker product
A∘B
A \circ B
Hadamard (elementwise) product
A†
A^\dagger
Conjugate transpose
ker(A)
\text{ker}(A)
Kernel (nullspace) of matrix
ℝⁿ
\mathbb{R}^n
n-dimensional real vector space
span{v₁,...,vₙ}
\text{span}\{v_1,\ldots,v_n\}
Span of vectors
⟨v,w⟩
\langle v,w \rangle
Inner product
∥v∥
\|v\|
Vector norm
v⊥w
v \perp w
Orthogonal vectors
dim(V)
\dim(V)
Dimension of vector space
V⊕W
V \oplus W
Direct sum of vector spaces
Av=λv
Av=\lambda v
Eigenvalue equation
χₐ(λ)
\chi_A(\lambda)
Characteristic polynomial
σ(A)
\sigma(A)
Spectrum (set of eigenvalues)
ρ(A)
\rho(A)
Spectral radius
diag(λ₁,...,λₙ)
\text{diag}(\lambda_1,\ldots,\lambda_n)
Diagonal matrix of eigenvalues
T:V→W
T:V\to W
Linear transformation
im(T)
\text{im}(T)
Image of transformation
ker(T)
\text{ker}(T)
Kernel of transformation
T∘S
T \circ S
Composition of transformations
GL(n,ℝ)
GL(n,\mathbb{R})
General linear group
A=LU
A=LU
LU decomposition
A=QR
A=QR
QR decomposition
A=UΣV⊤
A=U\Sigma V^\top
Singular value decomposition
A=PDP⁻¹
A=PDP^{-1}
Eigendecomposition
A=CC⊤
A=CC^\top
Cholesky decomposition
[a₁₁ a₁₂; a₂₁ a₂₂]
\begin{bmatrix} a_{11} & a_{12} \\ a_{21} & a_{22} \end{bmatrix}
2×2 matrix
(a b c)
\begin{pmatrix} a & b & c \end{pmatrix}
Row vector
[a; b; c]
\begin{bmatrix} a \\ b \\ c \end{bmatrix}
Column vector
∥a₁₁ a₁₂∥
\begin{vmatrix} a_{11} & a_{12} \end{vmatrix}
Matrix determinant notation
{a₁₁ a₁₂}
\begin{Bmatrix} a_{11} & a_{12} \end{Bmatrix}
Curly brace matrix
aᵢⱼ
a_{ij}
General matrix element
a₁₁
a_{11}
First element
aᵢ₊₁,ⱼ
a_{i+1,j}
Element with offset indices
\cdots
Horizontal ellipsis
\vdots
Vertical ellipsis
\ddots
Diagonal ellipsis
I
I_n
Identity matrix
0
0_{m \times n}
Zero matrix
diag(a₁,…,aₙ)
\text{diag}(a_1,\ldots,a_n)
Diagonal matrix
⎡⎢⎣
\left\lbrack
Left matrix bracket
⎤⎥⎦
\right\rbrack
Right matrix bracket