Here you will learn what is singular matrix definition with examples and also determinant of singular matrix.
Let’s begin –
Singular Matrix
Definition : A square matrix is a singular matrix if its determinant is zero.
Otherwise, it is a non-singular matrix.
Also Read : How to Find the Determinant of Matrix
Example : Show that the matrix A = [1−34−52241−6] is singular ?
Solution : The matrix A is singular, if
|A| = 0
⟹ |A| = [1−34−52241−6]
= 1 |221−6| – ( -3) |−524−6| + 4 |−5241|
= 1(-12 – 2) + 3(30 – 8) + 4(-5 – 8)
= -14 + 66 – 52
= 0
⟹ |A| = 0,
Hence, Matrix A is singular.
Example : For what value of x the matrix A = [1−23121x2−3] is singular ?
Solution : The matrix A is singular, if
|A| = 0
⟹ |1−23121x2−3| = 0
⟹ 1 |212−3| + 2 |11x−3| + 3 |12x2| = 0
⟹ (-6 – 2) + 2(-3 – x) + 3(2 – 2x) = 0
⟹ -8 – 6 – 2x + 6 – 6x = 0
⟹ -8x – 8 = 0 ⟹ x = -1