Types of Matrices — Definitions & Examples
A concise reference listing common matrix types with a short definition and two examples for each. Perfect for students, teachers, and blog readers.
Row Matrix
Definition: A matrix with only one row.
Examples
[ 3 5 7 ] [ -2 4 9 1 ]
Column Matrix
Definition: A matrix with only one column.
Examples
[ 4 -1 2 ] [ 7 0 ]
Square Matrix
Definition: A matrix with an equal number of rows and columns (n × n).
Examples
[ 1 2 3 4 ] [ 5 6 7 1 0 2 3 4 8 ]
Rectangular Matrix
Definition: A matrix where the number of rows and columns are not equal.
Examples
[ 1 2 3 4 5 6 ] [ 7 8 9 10 11 12 ]
Zero (Null) Matrix
Definition: A matrix in which every element is zero.
Examples
[ 0 0 0 0 ] [ 0 0 0 ]
Identity Matrix
Definition: A square matrix with 1's on the main diagonal and 0's elsewhere (In).
Examples
I2 = [ 1 0
0 1 ]
I3 = [ 1 0 0
0 1 0
0 0 1 ]
Diagonal Matrix
Definition: A square matrix where all non-diagonal entries are zero (only diagonal may be non-zero).
Examples
[ 3 0 0 0 5 0 0 0 7 ] [ 1 0 0 -4 ]
Scalar Matrix
Definition: A diagonal matrix in which every diagonal element is the same scalar value.
Examples
[ 5 0 0 5 ] [ -3 0 0 0 -3 0 0 0 -3 ]
Triangular Matrices
Upper triangular: all entries below the main diagonal are zero.
Lower triangular: all entries above the main diagonal are zero.
Upper triangular examples
[ 1 2 3 0 5 6 0 0 7 ] [ 4 -2 0 9 ]
Lower triangular examples
[ 2 0 0 3 4 0 5 6 7 ] [ 1 0 -3 8 ]
Symmetric Matrix
Definition: A square matrix equal to its transpose (A = AT).
Examples
[ 2 3 3 5 ] [ 1 4 7 4 2 6 7 6 3 ]
Skew-Symmetric Matrix
Definition: A square matrix where AT = -A. Diagonal elements must be zero.
Examples
[ 0 -2 2 0 ] [ 0 3 -1 -3 0 5 1 -5 0 ]
Singular Matrix
Definition: A square matrix with determinant equal to zero (det(A) = 0).
Examples
[ 1 2 2 4 ] [ 3 6 1 2 ]
Non-Singular Matrix
Definition: A square matrix with non-zero determinant (det(A) ≠ 0). It has an inverse.
Examples
[ 1 2 3 4 ] [ 2 5 1 3 ]
Orthogonal Matrix
Definition: A square matrix A such that ATA = I (transpose is inverse).
Examples
[ 1 0 0 1 ] [ 0 1 -1 0 ]
Sparse Matrix
Definition: A matrix with mostly zero entries (only a few non-zero elements).
Examples
[ 0 0 5 0 0 0 2 0 0 ] [ 0 3 0 0 0 0 ]
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