In linear algebra, matrices play a crucial role in solving equations, performing transformations, and modelling real-life structures. Singularity of matrices is a major classification.
Singular matrices commonly arise in determinant problems dealing with inverse matrices. JEE aspirants will have to understand the definition, formula, properties, and worked examples of singular matrices to be able to tackle higher-level questions.
Singular matrices are ideas that flow from determinants and serve as the basis for prospective authors wishing to solve problems involving matrices in exams.
1.0What is a Singular Matrix?
A square matrix is called singular if its determinant is 0. This is one of the least difficult, yet most important, kinds of matrices found in mathematics. The word "singular" means simply that the matrix cannot be inverted.
2.0Singular Matrix Formula
If A is an n×n matrix, then:
If∣A∣=0,thenA is a singular matrix.
Here, |A| denotes the determinant of matrix A.
It's important to know when and why a matrix is singular in order to answer questions about determinants, systems of linear equations, and matrix inversion.
Singular Matrix Example:
A=[2142]
det(A)=(2)(2)−(4)(1)=4−4=0
Thus, A is a singular matrix.
3.0Identifying a Singular Matrix
Steps to Identify a Singular Matrix
Check if the Matrix is Square: Only square matrices (same number of rows and columns) can be singular.
Calculate the Determinant:
If |A| = 0, then A is a singular matrix.
If ∣A∣=0, then A is a non-singular matrix.
Observe Linear Dependence: If any row or column is a linear combination of others, the determinant will be zero, making it singular.
To understand how singular matrices work and what they mean in algebra and geometry, you need to know their properties.
Key Singular Matrix Properties
Zero Determinant: The most important property to know is that |A| = 0.
There is no inverse: Singular matrices don't have an inverse. Only matrices with |A| not equal to 0 can be inverted.
Linear Dependence: One row or column is a linear combination of the others.
Rank is Less Than Order: The rank of a single matrix is always lower than the number of its rows or columns.
Linear Systems with Non-Unique Solutions: If the coefficient matrix in a system of equations is singular, the system has either no solution or an infinite number of solutions, but never just one solution.
Determinant Formula for a Fast Check: For quick identification, use the singular matrix formula |A|=0.
5.0Difference Between Singular and Non-Singular Matrix
Understanding the difference is crucial for JEE-level problem solving.
Feature
Singular Matrix
Non-Singular Matrix
Determinant
det(A)=0
det(A)≠0
Inverse
Not possible
Exists
Rank
Less than order
Equal to order
System of Equations
No unique solution
Unique solution exists
Example
A=[2142]
A=[1324]
6.0Theorem to Generate Singular Matrices
Linear Dependence Theorem
Theorem: If any row (or column) of a square matrix is a linear combination of other rows (or columns), then the matrix is singular.
Proof Outline: If, say, R2 = kR1, then after performing row operations, rows become linearly dependent, making the determinant zero.
Direct Construction:
Make two rows (or columns) proportional.
Make one row/column the sum or difference of other rows/columns.
Example using Theorem:
Let A=[1224].
Row 2 = 2 × Row 1, so |A| = 0 and A is singular.
7.0Solved Questions on Singular Matrix
Solved Example 1: Finding Value for Singularity
Question: For what value of x will A=[x236] be singular?
Solution:
Determinant: x×6−2×3=6x−6
Set to zero: 6x−6=0⟹x=1
Solved Example 2: Checking for Singularity
Question: Is B=[24510] a singular matrix?
Solution:
Determinant: 2×10−5×4=20−20=0
Yes, B is singular.
Solved Example 3: 3x3 Matrix
Question: Show that C=147258369 is singular.
Solution:
Determinant:
=1(5×9−6×8)−2(4×9−6×7)+3(4×8−5×7)
=1(45−48)−2(36−42)+3(32−35)
=−3+12−9=0
So, C is singular.
Solved Example 4: Finding Parameter Value
Question: Find k if D=(k212) is singular.
Solution:
Determinant: k×2−1×2=2k−2
Set to zero: 2k−2=0⟹k=1
8.0Practice Questions on Singular Matrix
For which value of a is A=(a326) singular?
Is B=(0048) a singular matrix?
If C=(5157k) is singular, find k.
Construct a 3×3 singular matrix other than those given in examples above.
If D=(28x4) is singular, find x.
Is the matrix E=213426639 singular?
Table of Contents
1.0What is a Singular Matrix?
2.0Singular Matrix Formula
3.0Identifying a Singular Matrix
3.0.1Singular Matrix Determinant
4.0Properties of Singular Matrix
5.0Difference Between Singular and Non-Singular Matrix
6.0Theorem to Generate Singular Matrices
6.1Linear Dependence Theorem
7.0Solved Questions on Singular Matrix
8.0Practice Questions on Singular Matrix
Frequently Asked Questions
A singular matrix is a square matrix whose determinant is equal to zero. It cannot be inverted.
You can determine if a matrix is singular by looking at its determinant. If det(A)=0, the matrix is singular.
Key properties include: Determinant is zero. No inverse exists. Rows or columns are linearly dependent. The rank is less than the order of the matrix. Used in systems of equations with no unique solution.
A singular matrix has a determinant of zero and no inverse, while a non-singular matrix has a determinant that is not zero and an inverse that is not zero.