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:
- Determinant of the matrix should be non-zero: det(A) ≠ 0.
- Has an inverse: There exists a unique inverse matrix A−1.
- A non-singular matrix has rank equal to its order (i.e., rank = number of rows = number of columns).
Non-Singular Matrix Example
Some examples of non-singular matrices are:
Example: Check if the matrix C =
Solution:
First, we find determinant of C i.e., |C| =
\begin{vmatrix}5&6& 0\\4& 2 & 3\\1 & 10& 9\end{vmatrix} |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 =
Solution:
First, we find the determinant of A i.e., |A| =
\begin{bmatrix}10 & 7\\4 & 2\end{bmatrix} |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.
Properties of Non-Singular Matrix
Some properties of non-singular matrix are listed below.
- The determinant is a non-zero value for the non-singular matrix.
- Non-singular matrix is a square matrix.
- Non-singular matrices are invertible as its determinant is not equal to zero.
- The multiplication of two non-singular matrices is also non-singular matrix.
- A matrix kP is non-singular matrix if P is non-singular matrix and k is constant.
How to Identify Non-Singular Matrix
The below are some steps to find the matrix is non-singular matrix or not.
- First, find the determinant of the given matrix.
- If the determinant is zero, the matrix is singular matrix.
- If the determinant is non-zero then, the matrix is non-singular matrix.
Singular vs Non-Singular Matrix
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. |
Also Check
Solved Examples on Non-Singular Matrix
Example 1: Check whether the given matrix A =
Solution:
First, we find the determinant of A i.e., |A| =
\begin{vmatrix}2 & 0\\5 & 9\end{vmatrix} |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 =
Solution:
First, we find the determinant of B i.e., |B| =
\begin{vmatrix}2 & 1\\8 & 4\end{vmatrix} |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 =
Solution:
First, we find determinant of P i.e., |P| =
\begin{vmatrix}1 & 5 & 3\\0 & 2& 1\\7 & 9 & 4\end{vmatrix} |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 =
Solution:
First, we find determinant of Q i.e., |Q| =
\begin{vmatrix}5 & 0 & -2\\1 & 3& 2\\2 & 6 & 4\end{vmatrix} |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.
Practice Questions on Non-Singular Matrix
Q1. Check whether the given matrix A =
Q2. Determine the matrix P =
Q3. Check whether the given matrix A =
Q4. Determine the matrix P =