Matrix: Overview, Questions, Preparation

Matrices 2025 ( Maths Matrices )

nitesh singh
Updated on Aug 11, 2025 17:05 IST

By nitesh singh, Senior Executive

A matrix is an ordered rectangular array of numbers (real or complex) or functions which are known as elements or the entries of the matrix. It is denoted by the upper-case letters i.e., A, B, C etc. The array is enclosed by brackets [ ] , the parentheses ( )  and the double vertical bars .

(1) A matrix having m rows and n columns is called a matrix of order m × n (read as “m by n” matrix). And a matrix A of order m × n  is depicted as A = [ a i j ] m × n ; i , j N .

(2) Also, in general, a i j means an element lying in the ith row and jth

(3) No. of elements in the matrix A = [ a i j ] m × n is given by ( m ) ( n ) .

In real life, a "matrix" refers to a rectangular array of numbers, variables, or symbols arranged in rows and columns. This structure is used in various fields to represent and manipulate data, solve equations, and perform transformations. 

In a classroom setting, a matrix can be used to represent data organized in rows and columns, such as the attendance of students in a class or the grades of students in a particular subject. For instance, a 5x3 matrix could represent the attendance of five students over three days, where each cell in the matrix indicates whether a student was present or absent on a specific day. 

Table of content
  • Mathematical Definition
  • How Set is different from Matrix?
  • Order Of a Matrix
  • Equality of a Matrices:
  • Transpose of a Matrix:
  • Symmetric Matrix
  • Skew Symmetric Matrix
  • Invertible Matrix
  • Operations on Matrix
  • Important Points to Remember
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Mathematical Definition

A matrix is a rectangular arrangement of elements, usually numbers, in rows and columns. We can alter exact elements using rules of algebra, like addition, subtraction, and multiplication. Matrices are used in linear algebra to represent linear transformations, solve systems of equations, and perform various calculations. 

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How Set is different from Matrix?

A set is a collection of distinct objects, while a matrix is a rectangular array of numbers or elements arranged in rows and columns. Sets focus on inclusion (whether an element belongs to a set), whereas matrices are structured for operations and transformations. 

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Order Of a Matrix

The order of a matrix represents its dimensions, specifically the number of rows and columns it has. It is denoted as m × n, where 'm' is the number of rows and 'n' is the number of columns. 

Example:

A 2 × 3 matrix: This matrix has 2 rows and 3 columns. It could be represented as: 

The order of this matrix is 2 × 3. 

A 3 × 4 matrix: This matrix has 3 rows and 4 columns. It could be represented as:

The order of this matrix is 3 × 4. 

To determine the order of a matrix, simply count the number of rows and columns and represent it as "rows × columns". 

The order of a matrix, denoted as m x n, indicates the number of rows (m) and columns (n) it has. i and j are used to represent the row and column indices, respectively, when describing the location of a specific element within the matrix. 

Explanation:

a) m: Represents the number of rows in the matrix.

b) n: Represents the number of columns in the matrix.

c) aij: Represents the element in the i-th row and j-th column of the matrix. For example, a12refers to the element in the first row and second column. 

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Equality of a Matrices:

Two matrices are considered equal if they have the same dimensions (same number of rows and columns) and all corresponding elements are identical. In simpler terms, if you compare each element in one matrix to the element in the same position in the other matrix, they must all be the same. 

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Transpose of a Matrix:

The transpose of a matrix is a new matrix formed by interchanging its rows and columns. If a matrix A has m rows and n columns, its transpose, denoted as A', will have n rows and m columns.

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Symmetric Matrix

A symmetric matrix is a square matrix where the elements are mirrored across the main diagonal (top-left to bottom-right). In other words, if you were to flip the matrix over its diagonal, it would look the same.

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Skew Symmetric Matrix

A skew-symmetric matrix is also a square matrix, but its transpose is equal to the negative of the original matrix. This means the elements across the diagonal are opposites of each other, and the diagonal elements are always zero. 

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Invertible Matrix

An invertible matrix is a square matrix that has an inverse, meaning there exists another matrix (its inverse) that, when multiplied by the original matrix, results in the identity matrix. In simpler terms, it is a matrix that can be "undone" by another matrix. 

 

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Operations on Matrix

Matrix operations involve performing mathematical calculations on matrices. Common operations include addition, subtraction, and multiplication. Addition and subtraction require matrices of the same dimensions, while multiplication has specific dimension requirements. 

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Important Points to Remember

We must remember these important points to avoid mistakes in our regular CBSE Exams.

  • Always denote a matrix by capital letters e.g., A , B , C , , X , Y , Z and elements by small letters a,b,c,.......x,y,z.
  • A matrix having m rows and n columns is called a matrix of order m × n or simple m × n (read as an m by n matrix).
  • An element occurring in the ith row and jth column of a matrix A is called ( i , j ) t h  element of A and is denoted by a i j .
  • The number of rows is written first and then the number of columns.

For example,

    • [ 3 5 7 2 1 4 ] is a matrix of order 2 × 3             
    • [ 7 3 0 5 4 1 ] is a matrix of order 3 × 2
    • [ x 2 x 5 1 ]  is a matrix of order 2 × 2 .
  • In general, an m × n matrix has the following rectangular array:

or A = [ a i j ] m × n or [ a i j ] m × n  or A = [ a i j ] m × n 1 i m   , 1 j n i , j N .

  • The number of elements is an m × n matrix is equal to mn.
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