Maths > Matrices and Determinants > 6.0 Inverse of a Matrix
Matrices and Determinants
1.0 Introduction
2.0 Algebra of Matrices
3.0 Special Matrices
3.1 (a) Symmetric Matrix:
3.2 (b) Skew Symmetric Matrix:
3.3 (c) Hermitian matrix:
3.4 (d) Skew Hermitian Matrix:
3.5 (e) Singular and Non-singular Matrices:
3.6 (f) Orthogonal Matrix :
3.7 (g) Idempotent Matrix :
3.8 (h) Unitary Matrix :
3.9 (i) Involuntary Matrix:
3.10 (j) Nilpotent Matrix:
4.0 Determinant of a square matrix
5.0 Adjoint of a square Matrix
6.0 Inverse of a Matrix
7.0 Types of Equations Homogenous & Non-Homogenous
8.0 Cramer's rule
9.0 Types of Linear Equations
6.1 Properties of Inverse of a Matrix
3.2 (b) Skew Symmetric Matrix:
3.3 (c) Hermitian matrix:
3.4 (d) Skew Hermitian Matrix:
3.5 (e) Singular and Non-singular Matrices:
3.6 (f) Orthogonal Matrix :
3.7 (g) Idempotent Matrix :
3.8 (h) Unitary Matrix :
3.9 (i) Involuntary Matrix:
3.10 (j) Nilpotent Matrix:
Every invertible matrix possesses a unique inverse.
- If $A$ & $B$ are invertible matrices of the same order,then $AB$ is invertible and ${\left( {AB} \right)^{ - 1}} = {B^{ - 1}}{A^{ - 1}}$.
- If $A$ is an invertible square matrix ,then ${A^T}$ is also invertible and ${\left( {{A^T}} \right)^{ - 1}} = {\left( {{A^{ - 1}}} \right)^T}$.
- If $A$ is a non-singular square matrix of order $n$ ,then $\left| {adjA} \right| = {\left| A \right|^{n - 1}}$
- If $A$ is an invertible square matrix ,then adj$${adj\left( {{A^T}} \right) = {{\left( {adjA} \right)}^T}}$$.
- $A$ and $B$ are non-singular square matrices of the same order,then ${adj\left( {AB} \right) = \left( {adjA} \right)(adjB)}$
- If $A$ is a non-singular square matrix ,then $adj\left( {adjA} \right) = {\left| A \right|^{n - 2}}A$.
Example:
For two non singular matrices $AB$ ,show that $adj\left( {AB} \right) = \left( {adjB} \right)\left( {adjA} \right)$
Solution:
We have $\left( {AB} \right)\left( {adj\left( {AB} \right)} \right) = \left| {AB} \right|{I_n}$
$ = \left| A \right|\left| B \right|{I_n}$
${A^{ - 1}}\left( {AB} \right)\left( {adj\left( {AB} \right)} \right) = \left| A \right|\left| B \right|{A^{ - 1}}$
$ \Rightarrow B.adj\left( {AB} \right) = \left| B \right|.adjA\left( {\because {A^{ - 1}} = \frac{1}{{\left| A \right|}}adjA} \right)$
$ \Rightarrow {B^{ - 1}}B.adj\left( {AB} \right) = \left| B \right|{B^{ - 1}}.adjA$
$ \Rightarrow adj\left( {AB} \right) = \left( {adjB} \right)\left( {adjA} \right)$