Maths Matrices: Overview, Questions, Preparation

Matrices 2025 ( Maths Matrices )

nitesh singh
Updated on Aug 11, 2025 17:22 IST

By nitesh singh, Senior Executive

There are various ways to arrange or represent numbers, objects, and other elements in mathematical form.  One of these ways is the Matrix. Matrix is one of the most used methods to make complex calculations easy and less time taking.

Class 12 Matrices Notes

A matrix is a representation of various variables in rows and columns in a rectangular array. You can picture this array as a table without the grid lines. The plural form of Matrix is Matrices.

Class 12 Maths chapter 5 deals with Matrices. This chapter includes fundamental concepts, including order, types of matrices, and algebraic operations of matrices. These short revision notes of class 12 matrices are also available in a downloadable PDF for free. 

The Class 12 Matrices Notes cover all the concepts related to matrices and their properties. These NCERT Notes are best for CBSE exams and JEE exams for Matrices revision. You can use our NCERT Solutions for Matrices to practice the questions and strengthen your grasp. Read the article below.

Table of content
  • What is Matrix (Matrices)
  • Order of a Matrix
  • Type of Matrices
  • Operation of Matrices
  • Addition of Matrices
  • Properties of Matrix Addition
  • Subtraction of Matrices
  • Scalar Multiplication (Multiplication of a Matrix by a Scalar)
  • Multiplication of Matrices
  • Properties of Matrix Multiplication
  • Important Facts related to Matrices for CBSE, and JEE Mains
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What is Matrix (Matrices)

Suppose Ram is visiting a fair with his children: Raman, John, and Durga. They bought 3 toys: Cars, Trucks, and Bikes, each in a different quantity.

Variables

Car

Truck

Bike

Raman

2

0

0

John

0

1

0

Durga

0

0

3

The above table is a way to represent the data in the above word problem in mathematical form. Similarly, a Matrix is a method to display this data; this light green part of the table can be represented in a matrix.

 A = [ 2 0 0 0 1 0 0 0 3 ]

According to the NCERT definition, “A matrix is an ordered rectangular array of numbers or functions. The numbers or functions are called the elements or the entries of the matrix.

The values/functions in the matrices are called elements, such as the number of toys in the above matrix are elements. The vertical line of elements is called a column, and the horizontal line of elements is called a row. The above example has 3 columns and 3 rows.

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Order of a Matrix

If a matrix has m rows and n columns, the matrix will be called a m × n matrix. The order of the matrix is m × n . The matrix of order m × n  is displayed below.

In concise form, the Matrix is also represented as A = [ a i j ] m × n , where 1 i m , 1 j n i , j N .

The element in ( i , j ) t h position is denoted as element, a i j where i represents row and j represents column.

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Type of Matrices

There are various types of matrices based on different factors, including resultant, elements, and other properties. Read types of matrices below.

Matrix

Property

Zero Matrix

All the elements must be 0.

Row Matrix

A matrix which have only a single row.

Column Matrix

A matrix which have only a single column.

Square Matrix

The number of columns must be equal to the number of rows.

Identity Matrix

All the diagonal elements are 1.

Scaler Matrix

All diagonal elements are equal.

Diagonal Matrix

All other elements are zero except the diagonal elements.

Symmetric Matrix

A square matrix where A = AT (T is the transpose of A)

Singular Matrix

The modulus of the matrix is zero.

Non-singular Matrix

The modulus of the matrix is not zero.

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Operation of Matrices

There are specific ways to perform basic mathematical operations like addition, subtraction, and multiplication of matrices. You can check important Matrix operations below:

  • Addition of Matrices
  • Subtraction of Matrices
  • Multiplication of a Matrix by a Scalar
  • Multiplication of Matrices

Read the detailed version of these operations of matrices below:

Maths Matrices

Try these practice questions

Q1:

Let R1 = { ( a , b ) N × N : | a b | 1 3 } a n d  

R2 =   { ( a , b ) N × N : | a b | 1 3 } . Then on N :

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Q2:

Let A and B be two 3 × 3 non-zero real matrices such that AB is a zero matrix. Then

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Addition of Matrices

Matrices are added by the sum of each corresponding element. If there are two matrices A and B, such that, A = [ a i j ] m × n and are B = [ b i j ] m × n two matrices of the same order.

Sum of matrices A and B (adding each corresponding element):

A + B = [ a i j + b i j ] m × n

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Properties of Matrix Addition

If there are three different matrices A, B, and C of the same order. The properties of the addition of matrices are given below:

Note Points:

  • Two matrices must be of the same order to be added or subtracted. The addition of matrices is only defined for the same order.
  • For every matrix, there exists an additive inverse matrix A = [ a i j ] such that A + ( A ) = O = ( A ) + A . Where A is the additive inverse of the matrix A.
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Subtraction of Matrices

The subtraction of matrices follows almost same set of rules as addition. If A = [ a i j ] m × n and B = [ b i j ] m × n are two matrices of the same order, then difference of matrices A and B will be: A B = [ a i j b i j ] m × n .

  • Subtraction of matrices does not commutative and associative properties as addition.
  • A B is a matrix obtained by subtracting the elements of B from the corresponding elements of A.
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Scalar Multiplication (Multiplication of a Matrix by a Scalar)

Let A = [ a i j ] m × n be a matrix and let k be a scalar (i.e. real or complex number), then we define multiplication of matrix A by a scalar k as k A = [ k a i j ] m × n . To multiply a matrix by a scalar (a single number), multiply each element of the matrix by that scalar quantity. In simple words, k A  means multiplying each element of A by k.

Properties of Scalar Multiplication

The scalar multiplication operation on matrices has the following properties:

(1) k ( A + B ) = k A + k B

(2) ( k + l ) A = k A + l A

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Multiplication of Matrices

Let A = [ a i j ] m × n and B = [ b j k ] n × p be two matrices, then we define the multiplication of matrices A and B as, A B = [ c i k ] m × p , where c i k is obtained by first taking the element-wise products of elements of ith row of A and kth column of B, and then adding such products.

If there are two matrices A and B of 2 × 2 2×2 order such that:

A = [ a b c d ] , B = [ e f g h ] A = \begin{bmatrix} a & b \\ c & d \end{bmatrix}, \quad B = \begin{bmatrix} e & f \\ g & h \end{bmatrix}

The product of these two matrices will be;
A B = [ a e + b g a f + b h c e + d g c f + d h ] AB = \begin{bmatrix} ae + bg & af + bh \\ ce + dg & cf + dh \end{bmatrix} Important points to note
  • The number of columns in the first matrix A must be equal to the number of rows in the second matrix B.
  • If the orders of matrices A and B are m × n and n × p, respectively, then the order of AB will be m ×
  • In the product AB, the matrix A is called pre-multiplier matrix and the matrix B is called post-multiplier matrix.
  • If AB is defined, then BA need not be defined unless both A and B are square matrices.
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Properties of Matrix Multiplication

Matrix multiplication is one of the most important and useful concepts for science stream students. This product is useful in vector analysis and other mathematical calculations. Check important properties below;

(1) Matrix Multiplication is associative.

For any three matrices A, B and C, we have (AB)C = A(BC), whenever both sides of the equality are defined.

(2) Matrix Multiplication is distributive over matrix addition.

For any three matrices A, B and C, we have A (B + C) = AB + AC and (A + B) C = AC + BC

Whenever both sides of equality are defined.

(3) Existence of Multiplicative Identity

For every square matrix A, there exists an identity matrix of same order such that IA = AI = A.

(4) Matrix Multiplication is not commutative in general.

For any two matrices A and B, if both AB and BA are defined, it is not necessary that AB = BA. (i.e. Commutativity may hold in some cases, but may not hold in some other.)

(5) Zero matrix as the product of two non–zero matrices.

 

 

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Important Facts related to Matrices for CBSE, and JEE Mains

You must keep in mind the points given below before solving matrix problems in the competitive exams

  • Two matrices must have same dimensions to be added or subtracted.
  • Always add or subtract only corresponding elements of the two or more matrices.
  • You can add multiple with any constant K to make calculations easy.
  • Always check the number of columns and the number of rows before multiplying two matrices.
  • Unlike general algebra, in matrices AB = BA, is not true in all cases. It means matrix multiplication is not associative.
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