In matrix theory, the inverse of a matrix plays a role similar to the reciprocal of a number. It is used to:
Only certain matrices have an inverse—specifically, non-singular matrices.
The inverse of a matrix A is another matrix A⁻¹ such that:
A × A⁻¹ = A⁻¹ × A = I
Where:
I is the identity matrixA matrix has an inverse if and only if:
det(A) ≠ 0
✔ Such a matrix is called non-singular
❌ If det(A) = 0, the matrix is singular and has no inverse
Let:
A = | a b |
| c d |
det(A) = ad − bc
A⁻¹ = (1 / (ad − bc)) × | d -b |
| -c a |
Let:
A = | 2 3 |
| 1 4 |
det(A) = (2×4 − 3×1) = 8 − 3 = 5
A⁻¹ = (1/5) × | 4 -3 |
| -1 2 |
For a 3×3 matrix, the inverse is found using:
A⁻¹ = (1 / det(A)) × adj(A)
A1/det(A)Let:
A = | 1 2 3 |
| 0 4 5 |
| 1 0 6 |
det(A) = 1(4×6 − 5×0) − 2(0×6 − 5×1) + 3(0×0 − 4×1)
= 24 + 10 − 12
= 22
adj(A) = | 24 -12 -2 |
| 5 3 -5 |
| -4 2 4 |
A⁻¹ = (1/22) × adj(A)
I⁻¹ = I
(AB)⁻¹ = B⁻¹ A⁻¹
(Aᵀ)⁻¹ = (A⁻¹)ᵀ
(A⁻¹)⁻¹ = A
AX = B ⇒ X = A⁻¹B
A is denoted by A⁻¹A × A⁻¹ = Idet(A) ≠ 0A⁻¹ = (1/det(A)) × adj(A)