It is a square matrix which consists of co-factors of each element. In this case, we find the co-factors of each element and enter these values in their corresponding places.
Adjoint of a Matrix
The adjoint of a square matrix A = [aij] n x n is defined as the transpose of the matrix [Aij] n x n, where Aij are the co-factor of each element aij. It is denoted by Adj A.
In general, adjoint of A is the transpose of its co-factor matrix.
1. If A be any given square matrix of order ‘n’ then
A (Adj A) = (Adj A) A = lAl I, where I is the identity matrix of order n
i) A square matrix A is said to be singular if lAl=0
ii) A square matrix A is said to be non-singular if lAl≠0
iii) If A is a non-singular matrix of order n the ladjAl=lAln-1
2. If A and B are nonsingular matrices of the same order, then AB and BA are also non singular matrices of the same order.
3. The determinant of the product of matrices is equal to product of their respective determinants, that is lABl = lAl lBl, where A and B are square matrices of same order.
4. A square matrix A is invertible if and only if A is non-singular matrix.
Example: Find the adjoint of
Adjoint of a 2 x 2 matrix is obtained by interchanging the elements of principal diagonal and changing the sign of remaining elements.
Inverse of a Matrix
If A is a square matrix then its inverse is given by:
provided A is a non-singular matrix
If A-1 is the inverse of A, then
ii) (AB)-1= B-1 A-1
Example: Find the inverse of
lAl = -6 – 0 = -6 ≠ 0. So, inverse exists
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