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Singular and non-singular matrices

B.Sudhakar
31/12/2016 0 0

Singular matrix : A square matrix that doesn't have an inverse is called singular matrix.

A square matrix is said to be singular If and only if it's determinant | A | = 0 

Ex:     ⌈ 1  4 ⌉                                                                                                                                           ⌊ 2   8 ⌋

| A |= ( 1 x 8 ) - ( 4 x 2 ) = ( 8 - 8 ) = 0 as it's determinant | A | = 0 this square matrix has no inverse so it is a singular matrix.

Non-Singular matrix: A square matrix that has an inverse is called non-singular matrix.

A square matrix is said to be non-singular if and only if it's determinant  | A |≠ 0

Ex:        ⌈ 2  -4 ⌉                                                                                                                                          ⌊ 1    6 ⌋

| A | = ( 6 x 2 ) - ( 1x -4 )= ( 12 ) - ( -4 ) = 16, as | A | ≠0 this square matrix has inverse so it is non-singular matrix.

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