Singular Matrix: Definition, Formula, and Examples

The concept of singular matrix plays a key role in mathematics and is widely applicable to real-life systems, quick problem checks, and competitive exam questions. Mastering singular matrices helps students identify invertibility, solve equations, and avoid common calculation errors in matrix algebra.

What Is a Singular Matrix?

A singular matrix is a square matrix whose determinant is exactly equal to zero. In simpler terms, if you calculate the determinant value and get zero, that matrix is called singular. Singular matrices have important applications in topics such as solving systems of linear equations, analyzing transformations, and error detection in computer algorithms.

Singular vs Non-Singular Matrix

Singular Matrix	Non-Singular Matrix
Determinant = 0	Determinant ≠ 0
No inverse exists	Inverse exists
Rows/columns are linearly dependent	Rows/columns are linearly independent
System Ax = b: No/Infinite solutions	System Ax = b: Unique solution

In exams, quickly checking the determinant helps you spot singular and non-singular matrices, especially for MCQs.

Key Formula for Singular Matrix

Here’s the standard formula for a singular matrix:

A matrix \( A \) is singular if and only if \( \det A = 0 \)

For a 2x2 matrix: \( \begin{bmatrix} a & b \\ c & d \end{bmatrix} \),
the determinant is \( ad - bc \).

For a 3x3 matrix: \( \begin{bmatrix} a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \\ c_1 & c_2 & c_3 \end{bmatrix} \),
the determinant is \( a_1 (b_2 c_3 - b_3 c_2) - a_2 (b_1 c_3 - b_3 c_1) + a_3(b_1 c_2 - b_2 c_1) \).

How to Check if a Matrix is Singular (Step-by-Step)

2x2 Matrix Example:

1. Check if the matrix is square.

2. Calculate the determinant: for \( \begin{bmatrix} 3 & 6 \\ 2 & 4 \end{bmatrix} \), determine \( 3 \times 4 - 6 \times 2 = 12 - 12 = 0 \).

3. Since the determinant is zero, the matrix is singular.

3x3 Matrix Example:

1. Check if the matrix is square.

2. Find the determinant of \( \begin{bmatrix} 2 & 1 & -1 \\ 1 & 0 & 1 \\ 2 & 1 & -1 \end{bmatrix} \):

3. Expand: \(2 \times (0 \times -1 - 1 \times 1) - 1 \times (1 \times -1 - 1 \times 2) + (-1) \times (1 \times 1 - 0 \times 2)\)

4. Simplify: \(2 \times (-1) - 1 \times (-1 - 2) - 1 \times (1)\) = \(-2 + 3 - 1 = 0\)

5. The determinant is zero; the 3x3 matrix is singular.

Singular Matrix Examples with Solution

Example 1: Is the matrix \( \begin{bmatrix} 4 & 2 \\ 8 & 4 \end{bmatrix} \) singular?

1. Calculate determinant: \( 4 \times 4 - 2 \times 8 = 16 - 16 = 0 \)

2. Determinant is zero, so the matrix is singular.

Example 2: Is the matrix \( \begin{bmatrix} 2 & -1 \\ 5 & 3 \end{bmatrix} \) singular?

1. Calculate determinant: \( 2 \times 3 - (-1) \times 5 = 6 + 5 = 11 \)

2. Determinant is not zero, so this matrix is non-singular.

Edge Case: The zero matrix \( \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} \)

1. Determinant = \( 0 \), so the zero matrix is always singular.

Properties of Singular Matrices

• Applicable only to square matrices (same number of rows and columns).
• Determinant is always zero.
• No inverse exists (non-invertible matrix).
• At least one row or column is a linear combination of others.
• Rank is strictly less than the matrix order.
• Causes systems of equations to have no or infinite solutions.

Cross-Disciplinary Usage

A singular matrix is useful not just in Mathematics but in Physics, Engineering (circuit analysis), Computer Science (network algorithms), and Statistics. For JEE, Olympiads, and CBSE/ICSE boards, singularity directly determines solution uniqueness in linear algebra problems. Vedantu classes link matrix singularity to broader problem-solving approaches used in daily logic and coding interviews too.

Singular Matrix in Solving Linear Equations

When using a singular matrix as the coefficient matrix in \( Ax = b \), you cannot find a unique solution for \( x \). Either there is no solution or there are infinite solutions. This is because the system equations become linearly dependent. That’s why a singular matrix means your usual methods like matrix inversion or Cramer’s rule cannot be applied.

Speed Trick or Revision Tip

Quick Check Trick: If any row (or column) is a multiple or sum of others, determinant = 0 and the matrix is singular. This saves a lot of time in MCQs or when reviewing.

Try These Yourself

• Is \( \begin{bmatrix} 2 & 4 \\ 3 & 6 \end{bmatrix} \) singular or non-singular?
• Check if the zero matrix of order 3x3 is singular.
• Find whether \( \begin{bmatrix} 1 & 2 \\ 5 & 7 \end{bmatrix} \) has an inverse.

Frequent Errors and Misunderstandings

• Applying inverse formulas to singular matrices (not possible!).
• Forgetting to check if the matrix is square before testing singularity.
• Not spotting linear dependence in rows/columns visually.

Relation to Other Concepts

Singular matrices connect directly to non-singular matrices, systems of equations, matrix rank, and inverses. Knowing which matrices are singular allows you to solve, invert, and understand systems correctly—essential for Class 11/12 and various competitions.

Classroom Tip

Remember, “Singular means solution slippage!”—if your matrix for equations is singular, expect either no solution or infinitely many. Vedantu’s teachers use quick determinant-check warmup activities to help students train this skill for speed and accuracy in exams.

We explored singular matrix—from basic definition, formula, to solved examples, properties, common mistakes, and its bigger context in Mathematics and real-world logic. With more practice on Vedantu, you’ll find recognizing and working with singular matrices becomes easy and intuitive.

Related topics to deepen your understanding:
Determinant of a 3x3 Matrix | Inverse of a Matrix | Properties of Determinants