Let A= diag (d1,d2,d3,...,dn).
As A is invertible, therefore, det A=0⇒d1d2d3...dn=0⇒di=0 for i=1,2,3,...,n,
Here, cofactor of each non-diagonal entry is 0 and coafctor of aij=(−1)i+i det (diag d1,d2,......,di−1,di+1,....,dn)=d1d2......di−1di+1....dn=di1(d1d2...di−1didi+1....dn)=di∣A∣∴A−1=∣A∣1(adjA)=diag(d11,d21,....,dn1) which is a diagonal matrix.
A matrix is a rectangular array of numbers, variables, symbols, or expressions that are defined for the operations like subtraction, addition, and multiplications. The size of a matrix is determined by the number of rows and columns in the matrix.
The basic operations that can be performed on matrices are:
Addition of Matrices - The addition of matrices addition can only be possible if the number of rows and columns of both the matrices are the same.
Subtraction of Matrices - Matrices subtraction is also possible only if the number of rows and columns of both the matrices are the same.
Scalar Multiplication - The product of a matrix A with any number 'c' is obtained by multiplying every entry of the matrix A by c, is called scalar multiplication.
Multiplication of Matrices - Matrices multiplication is defined only if the number of columns in the first matrix and rows in the second matrix are equal.
Transpose of Matrices - Interchanging of rows and columns is known as the transpose of matrices.