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A non-singular matrix (also called an invertible matrix) is a square matrix whose determinant is a non-zero value. It is used to find the inverse of a matrix.
The condition for a matrix to be non-singular:
Some examples of non-singular matrices are:
Example: Check if the matrix C = is a non-singular matrix or not?
Solution:
First, we find determinant of C i.e., |C| =
|C| = 5 × [(2 × 9) - (3 × 10)] - 6 × [(9 × 4) - (3 × 1)] + 0 × [(4 × 10) - (2 × 1)]
|C| = 5 × [18 - 30] - 6 × [36 - 3] + 0
|C| = 5 × (-12) - 6 × (33)
|C| = -60 - 198
|C| = -258
Since, |C| is not equal to zero the given matrix C is a non-singular matrix.
Example: Check whether the matrix A = is singular or non-singular?
Solution:
First, we find the determinant of A i.e., |A| =
|A| = (2 × 10) - (7 × 4)
|A| = 20 - 28
|A| = -8
Since, |A| is not equal to zero the given matrix A is non-singular matrix.
Some properties of non-singular matrix are listed below.
The below are some steps to find the matrix is non-singular matrix or not.
The below table represents the difference between singular and non-singular matrices.
Singular Matrix | Non-Singular Matrix |
|---|---|
Singular matrix is a matrix whose determinant is zero. | Non-singular matrix is a matrix whose determinant is non-zero. |
|A| = 0 then, A is singular matrix. | |A| ≠ 0 then, A is non-singular matrix. |
Singular matrices are not invertible. | Non-singular matrices are invertible. |
Null or Zero matrix is an example of singular matrix. | Identity matrix is an example of non-singular matrix. |
Example 1: Check whether the given matrix A = is a non-singular matrix or not?
Solution:
First, we find the determinant of A i.e., |A| =
|A| = (2 × 9) - (0 × 5)
|A| = 18 - 0
|A| = 18
Since, |A| is not equal to zero the given matrix A is non-singular matrix.
Example 2: Find whether the given matrix B = is a non-singular matrix or not?
Solution:
First, we find the determinant of B i.e., |B| =
|B| = (2 × 4) - (1 × 8)
|B| = 8 - 8
|B| = 0
Since, |B| is equal to zero the given matrix B is not a non-singular matrix.
Example 3: Determine the matrix P = is singular or non-singular?
Solution:
First, we find determinant of P i.e., |P| =
|P| = 1 × [(2 × 4) - (9 × 1)] - 5 × [(0 × 4) - (7 × 1)] + 3 × [(0 × 9) - (7 × 2)]
|P| = 1 × [8 - 9] - 5 × [0 - 7] + 3 × [0 - 14]
|P| = 1 × (-1) - 5 × (- 7) + 3 × (- 14)
|P| = -1 + 35 - 42
|P| = -7
Since, |P| is not equal to zero the given matrix P is a non-singular matrix.
Example 4: Determine the matrix Q = is singular or non-singular?
Solution:
First, we find determinant of Q i.e., |Q| =
|Q| = 5 × [(3 × 4) - (6 × 2)] - 0 × [(1 × 4) - (2 × 2)] + (-2) × [(1 × 6) - (3 × 2)]
|Q| = 5 × [12 - 12] - 0 × [4 - 4] + (-2) × [6 - 6]
|Q| = 5 × 0 - 0 - 2 × 0
|Q| = 0
Since, |Q| is equal to zero the given matrix Q is not a non-singular matrix.
Q1. Check whether the given matrix A = is a non-singular matrix or not?
Q2. Determine the matrix P = is singular or non-singular?
Q3. Check whether the given matrix A = is a non-singular matrix or not?
Q4. Determine the matrix P = is singular or non-singular?