What is a Matrix Inverse?
The inverse of a square matrix A, denoted A-1, is the matrix such that A × A-1 = A-1 × A = I, where I is the identity matrix. Not every matrix has an inverse; a matrix is invertible (non-singular) only when its determinant is non-zero.
Methods for Finding the Inverse
2x2 Formula
For a 2x2 matrix [[a,b],[c,d]], the inverse is computed using the adjugate formula.
3x3 Cofactor Method
Compute the matrix of cofactors, transpose it to get the adjugate, then divide by the determinant.
Row Reduction
Augment A with the identity and row reduce to reduced row echelon form.
Singular Matrices
If det(A) = 0, the matrix is singular and has no inverse.
Properties of Matrix Inverse
- (A-1)-1 = A
- (AB)-1 = B-1A-1
- (AT)-1 = (A-1)T
- det(A-1) = 1/det(A)
- (kA)-1 = (1/k)A-1 for scalar k
Applications
Matrix inversion is used to solve systems of linear equations (x = A-1b), in computer graphics for undoing transformations, in statistics for regression analysis, in control theory, and in cryptography. Although direct inversion is not always the most numerically stable method, understanding it is fundamental to linear algebra.