• NEET
      • Class 11th
      • Class 12th
      • Class 12th Plus
    • JEE
      • Class 11th
      • Class 12th
      • Class 12th Plus
    • Class 6-10
      • Class 6th
      • Class 7th
      • Class 8th
      • Class 9th
      • Class 10th
    • View All Options
      • Online Courses
      • Offline Courses
      • Distance Learning
      • Hindi Medium Courses
      • International Olympiad
    • NEET
      • Class 11th
      • Class 12th
      • Class 12th Plus
    • JEE (Main+Advanced)
      • Class 11th
      • Class 12th
      • Class 12th Plus
    • JEE Main
      • Class 11th
      • Class 12th
      • Class 12th Plus
  • NEW
    • JEE MAIN 2025
    • NEET
      • 2024
      • 2023
      • 2022
    • Class 6-10
    • JEE Main
      • Previous Year Papers
      • Sample Papers
      • Result
      • Analysis
      • Syllabus
      • Exam Date
    • JEE Advanced
      • Previous Year Papers
      • Sample Papers
      • Mock Test
      • Result
      • Analysis
      • Syllabus
      • Exam Date
    • NEET
      • Previous Year Papers
      • Sample Papers
      • Mock Test
      • Result
      • Analysis
      • Syllabus
      • Exam Date
    • NCERT Solutions
      • Class 6
      • Class 7
      • Class 8
      • Class 9
      • Class 10
      • Class 11
      • Class 12
    • CBSE
      • Notes
      • Sample Papers
      • Question Papers
    • Olympiad
      • NSO
      • IMO
      • NMTC
    • ALLEN e-Store
    • AOSAT
    • ALLEN for Schools
    • About ALLEN
    • Blogs
    • News
    • Careers
    • Request a call back
    • Book home demo
JEE PhysicsJEE Chemistry
Home
JEE Maths
Determinants and Matrices

Determinants and Matrices

Matrices are grids of numbers organized in rows and columns. They're used to solve equations and describe transformations in math.

Determinants are special numbers calculated from square matrices. They help find areas, volumes, and solve equations in geometry and algebra.

1.0What Are Matrices and Determinants?

A matrix is a structured arrangement of numbers or functions, organized in rows and columns. Each individual number or function within the matrix is referred to as an element or entry.

A determinant is a scalar value derived from a square matrix. It provides essential information about the matrix, such as whether it is invertible (non-singular) or not (singular). Determinants are used in solving systems of linear equations, finding areas and volumes, and in various calculations in geometry and algebra. They play a crucial role in determining the properties of linear transformations represented by matrices.

2.0Difference Between Matrices and Determinants

Aspect

Matrices

Determinants

Definition

A rectangular array of numbers arranged in rows and columns.

A scalar value derived from a square matrix.

Structure

Consists of multiple rows and columns.

A single numerical value.

Dimensions

Can be any size (m x n), where m and n are positive integers.

Only defined for square matrices (n x n).

Purpose

Used to represent and solve systems of linear equations, transformations, and data structures.

Determines properties of a matrix, such as invertibility and volume calculations.

Applications

Widely used in fields like physics, engineering, computer science, and economics for various computations.

Used in solving linear equations, finding areas, volumes, and in various geometric and algebraic computations.

Invertibility

A matrix itself may be invertible if it has a non-zero determinant.

Indicates if a matrix is invertible (non-zero) or not (zero).

Example


(13​24​)


For the matrix

(13​24​), the determinant is 1(4) – 2(3) = –2.

3.0Properties of Matrices and Determinants

Aspect

Properties of Matrices

Properties of Determinants

Addition

Matrices of the exact dimensions can be added element wise.

Not applicable to determinants.

Scalar Multiplication

Each element of a matrix can be scaled by multiplying it with a scalar.

Multiplying a determinant by a scalar multiplies any row or column of the determinant by the scalar.

Matrix Multiplication

Matrices can be multiplied when the number of columns in the first matrix corresponds to the number of rows in the second matrix.

The determinant of the product of two matrices is the product of their determinants.

Transposition

The transpose of a matrix is obtained by swapping rows with columns.

The determinant of a transposed matrix is equal to the determinant of the original matrix.

Invertibility

A matrix can be inverted if its determinant is not zero.

A matrix has a non-zero determinant if and only if it is invertible.

Identity Element

The identity matrix I serves as the multiplicative identity.

The determinant value of the identity matrix is always equal to 1.

Zero Element

The zero matrix has all elements equal to zero.

The determinant of the zero matrix is 0.

Linear Combination

A linear combination of matrices involves multiplying matrices by scalars and adding them.

Determinants do not directly involve linear combinations.

Row Operations

Certain row operations change the matrix but have specific effects on the determinant. 

Swapping rows changes the sign, scaling a row scales the determinant, and adding a multiple of one row to another doesn't change the determinant. Directly related to row operations, which help in finding the determinant value.

Eigenvalues

Matrices have eigenvalues, which are found using the characteristic polynomial.

The product of a matrix's eigenvalues equals the determinant.

Trace

The trace of a matrix is obtained by summing its diagonal elements.

No direct equivalent but related to eigenvalues and characteristic polynomials.

Symmetric Properties

A symmetric matrix is equal to its transpose.

The determinant of a symmetric matrix has special properties, like being real if the matrix is real.

4.0Matrices and Determinants Solved Examples 

Example 1: Find the value of x, y, z and w which satisfy the matrix equation

[x+3z−1​2y+x4w−8​]=[−x−13​02w​]

Solution:

As the given matrices are equal so their corresponding elements are equal.

⇒ x+3=-x-1

⇒ 2 x=-4

∴ x=-2 ...(i)

⇒ 2 y+x=0

⇒ 2 y-2=0 [from (i)]

⇒ y=1 ...(ii)

⇒ z-1=3

⇒ z=4 ...(iii)

⇒ 4 w-8=2 w

⇒ 2 w=8

∴ w=4 ...(iv)


Example 2: If A=​132​325​​&B=​−103​−251​​ and A+B−D=O

(zero matrix), then D matrix will be-

(A) ​036​275​​

(B) ​035​276​​

(C) ​035​176​​

(D) ​0−3−5​−2−7−6​​


Ans. (C)

Solution:

Let D=

​ace​bdf​​∴A+B−D=​132​325​​+​−103​−251​​−​ace​bdf​​

⇒​1−1−a3+0−c2+3−e​3−2−b2+5−d5+1−f​​=​000​000​​

⇒−a=0⇒a=0,1−b=0⇒b=1, ⇒3−c=0⇒c=3,7−d=0⇒d=7, ⇒5−e=0⇒e=5,6−f=0⇒f=6

∴D=​035​176​​


Example 3: If [1×2]​200​343​122​​​x1−1​​=O, then the value of is

(A) –1 (B) 0 (C) 1 (D) 2

Ans. (A)

Solution:

The LHS of the equation

=[24x+92x+5]​x1−1​​=[2x+4x+9−2x−5]=4x+4

=[2​4x+9​2x+5​]​x1−1​​=[2x+4x+9−2x−5]=[4x+4]

Thus 4 x+4=0 ; x=-1


Example 4: If A, B are two matrices such that A+B= [12​24​],A−B=[3−2​20​]then find AB.

Solution:

Given A+B=[12​24​]         ...(i)     &

⇒A−B=[3−2​20​] ...(ii)

Adding (i) & (ii)

⇒2A=[40​44​]⇒A=[20​22​]

Subtracting (ii) from (i)

⇒2B=[−24​04​]⇒B=[−12​02​]

Now AB=[20​22​][−12​02​]=[24​44​]


Example 5: The value of ​1−42​23−7​369​​ is  

(A) 213 (B) –231 (C) 231 (D) 39 

Ans. (C)

Solution: 

​1−42​23−7​369​​=1​3−7​69​​−2​−42​69​​+3​−42​3−7​​

=(27+42)−2(−36−12)+3(28−6)=231


Example 6: If ​x+33−x​1−2−3​−213​​=0, find χ.

Solution:

​x+33−x​1−2−3​−213​​=0

⇒(x+3)[−6−(−3)]−1[9+x]−2[−9−2x]

⇒(x+3)(−6+3)−(9+x)−2(−9−2x)=0

⇒−3(x+3)−9−x+18+4x=0

⇒−3x−9−9−x+18+4x=0

⇒−4x+4x−18+18=0

∴x∈R


Example 7: If in the determinant ​x32​333​3x3​​,C11​=C22​, where Cij​ is cofactor of element aij​ then x= 

(A) 2 (B) –2 (C)  25​ (D) −89​

Ans. (C)

Solution:

C11​=C22​

⊨(−1)1+1​33​x3​​=(−1)2+2​x2​33​​

⇒9−3x=3x−6

⇒−6x=−15

⇒x=25​


Example 8: If ​32+k42+k52+k​425262​32+3+k42+4+k52+5+k​​=0, then the value of k is?

(A) 2 (B) 1 (C) –1 (D) 0

Ans. (B)

Solution: 

Applying (C3​→C3​−C1​)D=​32+k42+k52+k​425262​345​​=0

⇒​9+k79​16911​311​​=0(R3​→R3​−R2​;R2​→R2​−R1​)

⇒k−1=0

⇒k=1

5.0Matrices and Determinants Practice problems

1. If [2x+ya−b​22a+b​x−2y−3​]=[34​2−1​4−3​], then find the value of x+y+a+b

(A) 1 (B) –1 (C) –3 (D) 5

2. Find the value of :

2[3−1​1−3​−24​]+x[13​04​−15​]=[4−8​2−14​−2−2​]

(A) –2 (B) 2 (C) 3 (D) –3


3. Let A=​cos−1xcos−1ycos−1z​cos−1ycos−1zcos−1x​cos−1zcos−1xcos−1y​​such that |A|=0, then maximum value of x+y+z is 

(A) 3 (B) 0 (C) 1 (D) 2


4. If α, β & γ are the roots of the equation x3+px+q=0, then the value of the determinant ​αβγ​βγα​γαβ​​=

(A) p (B) q (C) p^2 \_2 q (D) none

5. If a,b&c are non-zero real numbers, then D=​b2c2c2a2a2b2​bccaab​b+cc+aa+b​​=

(A) abc (B) a2b2c2 (C) bc + ca +ab   (D) zero

Question

1

2

3

4

5

Answer

B

A

A

D

D

6.0Sample Questions on Determinants and Matrices

Q. How do you add two matrices?

Ans: To add two matrices, they must have the same dimensions. You add corresponding elements from each matrix. For example, given matrices A and B:

A=[13​24​],B=[57​68​] 

The sum A + B is:

A+B=[1+53+7​2+64+8​]=[610​812​]


Q. How is the determinant of a matrix calculated?

Ans: For a 2 × 2 matrix (ac​bd​), the determinant is calculated as ad – bc. For larger matrices, determinants can be calculated using cofactor expansion, row reduction, or other methods. For example, for a 3 × 3 matrix ​adg​beh​cfi​​, the determinant is a(ei – fh) – b(di – fg) + c(dh – eg).

Q. What is the trace of a matrix?

Ans: The trace of a square matrix is the sum of its diagonal elements. For example, for the matrix \left(\begin{array}{ll}1 & 2 \\3 & 4\end{array}\right), the trace is 1 + 4 = 5. The trace has various applications, particularly in the study of eigenvalues and matrix invariants.

Table of Contents


  • 1.0What Are Matrices and Determinants?
  • 2.0Difference Between Matrices and Determinants
  • 3.0Properties of Matrices and Determinants
  • 4.0Matrices and Determinants Solved Examples 
  • 5.0Matrices and Determinants Practice problems
  • 6.0Sample Questions on Determinants and Matrices

Frequently Asked Questions

A matrix is a structured arrangement of numbers or functions, organized in rows and columns. Each individual number or function within the matrix is referred to as an element or entry.

A determinant is a single numerical value derived from a square matrix. It offers essential insights into the matrix's properties, such as its invertibility. Determinants are pivotal in solving systems of linear equations, computing areas and volumes, and finding solutions in geometry and algebraic contexts.

If the determinant of a matrix equals zero, the matrix is considered singular, meaning it is not invertible. This implies that the system of equations represented by the matrix does not have a unique solution, and in geometric terms, it means the vectors forming the matrix are linearly dependent.

Join ALLEN!

(Session 2025 - 26)


Choose class
Choose your goal
Preferred Mode
Choose State

Related Articles:-

Determinants

Determinants are a fascinating concept in linear algebra that helps us understand and solve matrix equations.

What are Matrices?

A Matrix is an organized rectangular array comprising numbers, symbols, or expressions that are systematically arranged in rows and columns.

Understanding Tangent and Normal

Tangents and normal are geometric concepts frequently encountered in calculus and geometry.

Learn The Trigonometric Ratios And Identities In Detail

Trigonometric ratios and identities form the backbone of Trigonometry, a mathematical branch that deals with the relationships and properties of triangles and angles.

Geometric Progression

In Mathematics, Geometric Progression (G. P) is a sequence of non-zero numbers.

Questions on Chain Rule

Suppose you have a function f and another function g inside f, like f(g(x)). The chain rule states that

Solving Differential Equations

The solution to a differential equation is a relation between the variables that does not include derivatives but satisfies the given differential equation.

  • About
    • About us
    • Blog
    • News
    • MyExam EduBlogs
    • Privacy policy
    • Public notice
    • Careers
    • Dhoni Inspires NEET Aspirants
    • Dhoni Inspires JEE Aspirants
  • Help & Support
    • Refund policy
    • Transfer policy
    • Terms & Conditions
    • Contact us
  • Popular goals
    • NEET Coaching
    • JEE Coaching
    • 6th to 10th
  • Courses
    • Online Courses
    • Distance Learning
    • Online Test Series
    • International Olympiads Online Course
    • NEET Test Series
    • JEE Test Series
    • JEE Main Test Series
  • Centers
    • Kota
    • Bangalore
    • Indore
    • Delhi
    • More centres
  • Exam information
    • JEE Main
    • JEE Advanced
    • NEET UG
    • CBSE
    • NCERT Solutions
    • NEET Mock Test
    • Olympiad
    • NEET 2025 Answer Key

ALLEN Career Institute Pvt. Ltd. © All Rights Reserved.

ISO