Matrices

What is Matrices Class 12th: Definition and Key Concepts Explained

By ConceptScroll Team · Published on 19 June 2026 · 5 min read

What is matrices class 12th? In simple terms, a matrix is a rectangular array of numbers arranged in rows and columns. This chapter in Class 12 NCERT Mathematics introduces matrices, their types, operations, and properties essential for CBSE exams.

Understanding the Definition of Matrices in Class 12

A matrix is defined as a rectangular arrangement of numbers, symbols, or expressions in rows and columns. In Class 12 Mathematics, matrices are written within square brackets. For example, a matrix $A$ with $m$ rows and $n$ columns is represented as:

$$ A = \begin{bmatrix} a_{11} & a_{12} & \dots & a_{1n} \\ a_{21} & a_{22} & \dots & a_{2n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{m1} & a_{m2} & \dots & a_{mn} \end{bmatrix} $$

Each element $a_{ij}$ represents the entry in the $i^{th}$ row and $j^{th}$ column. Understanding this layout is crucial for performing matrix operations.

Types of Matrices You Must Know for Class 12 Exams

Matrices are classified based on their size and elements. Here are the common types:

  • Row Matrix: Only one row, multiple columns (e.g., $1 \times n$).
  • Column Matrix: Only one column, multiple rows (e.g., $m \times 1$).
  • Square Matrix: Number of rows equals number of columns ($n \times n$).
  • Zero Matrix: All elements are zero.
  • Identity Matrix: A square matrix with 1's on the main diagonal and 0's elsewhere.
Matrix TypeDescriptionExample
Row MatrixSingle row, multiple columns$[3 \quad 5 \quad 7]$
Column MatrixSingle column, multiple rows$\begin{bmatrix}2 \\ 4 \\ 6\end{bmatrix}$
Square MatrixEqual rows and columns$\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}$
Zero MatrixAll elements zero$\begin{bmatrix}0 & 0 \\ 0 & 0\end{bmatrix}$
Identity MatrixDiagonal elements 1, others 0$I_3 = \begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1\end{bmatrix}$

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Basic Operations on Matrices Explained Simply

Class 12 NCERT Mathematics covers these fundamental matrix operations:

  • Addition: Matrices of the same order can be added by adding corresponding elements.

$$ (A + B)_{ij} = a_{ij} + b_{ij} $$

  • Subtraction: Similar to addition, subtract corresponding elements.
  • Scalar Multiplication: Multiply every element of a matrix by a scalar $k$.
  • Matrix Multiplication: If $A$ is $m \times n$ and $B$ is $n \times p$, the product $AB$ is $m \times p$ where:

$$ (AB)_{ij} = \sum_{k=1}^n a_{ik} b_{kj} $$

Worked Example:

Given:

$$ A = \begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}, \quad B = \begin{bmatrix}5 & 6 \\ 7 & 8\end{bmatrix} $$

Calculate $A + B$ and $AB$.

  • Addition:

$$ A + B = \begin{bmatrix}1+5 & 2+6 \\ 3+7 & 4+8\end{bmatrix} = \begin{bmatrix}6 & 8 \\ 10 & 12\end{bmatrix} $$

  • Multiplication:

$$ AB = \begin{bmatrix}(1)(5)+(2)(7) & (1)(6)+(2)(8) \\ (3)(5)+(4)(7) & (3)(6)+(4)(8)\end{bmatrix} = \begin{bmatrix}19 & 22 \\ 43 & 50\end{bmatrix} $$

Important Properties of Matrices for Class 12 Students

Understanding matrix properties helps in solving problems efficiently. Key properties include:

  • Associative Property:

$$ (A + B) + C = A + (B + C) $$ $$ (AB)C = A(BC) $$

  • Commutative Property:

Addition is commutative: $$ A + B = B + A $$ Multiplication is generally not commutative: $$ AB \neq BA $$

  • Distributive Property:

$$ A(B + C) = AB + AC $$

  • Transpose of a Matrix:

The transpose $A^T$ is formed by swapping rows and columns: $$ (A^T)_{ij} = a_{ji} $$

  • Symmetric and Skew-Symmetric Matrices:
  • Symmetric: $A = A^T$
  • Skew-Symmetric: $A = -A^T$

These properties are often tested in CBSE exams, so practice them well.

Determinant and Inverse of a Matrix: Key Concepts

For square matrices, two important concepts are determinant and inverse.

  • Determinant: A scalar value representing certain properties of a matrix. For a 2x2 matrix:

$$ A = \begin{bmatrix}a & b \\ c & d\end{bmatrix}, \quad \det(A) = ad - bc $$

  • Inverse: A matrix $A^{-1}$ such that:

$$ AA^{-1} = A^{-1}A = I $$

For a 2x2 matrix, if $\det(A) \neq 0$, then:

$$ A^{-1} = \frac{1}{\det(A)} \begin{bmatrix} d & -b \\ -c & a \end{bmatrix} $$

Worked Example:

Find the determinant and inverse of

$$ A = \begin{bmatrix}4 & 7 \\ 2 & 6\end{bmatrix} $$

  • Determinant:

$$ \det(A) = (4)(6) - (7)(2) = 24 - 14 = 10 $$

  • Inverse:

$$ A^{-1} = \frac{1}{10} \begin{bmatrix}6 & -7 \\ -2 & 4\end{bmatrix} = \begin{bmatrix}0.6 & -0.7 \\ -0.2 & 0.4\end{bmatrix} $$

Remember, inverse exists only if determinant is non-zero.

How to Prepare Matrices Chapter for Class 12 NCERT Exams

To score well in the matrices chapter:

  • Understand Concepts: Focus on definitions and properties rather than rote memorization.
  • Practice NCERT Examples: Solve all solved examples carefully.
  • Attempt Exercises: Complete all exercise questions at the end of the chapter.
  • Use Diagrams: Visualize matrices as arrays to understand operations better.
  • Revise Formulas: Keep important formulas handy for quick revision.

Consistent practice and clarity on basic operations will help you excel in CBSE Class 12 Mathematics.

Frequently asked questions

What is a matrix in Class 12 Maths?

A matrix is a rectangular array of numbers arranged in rows and columns used to represent data.

How do you add two matrices?

Add corresponding elements of two matrices of the same order to get their sum.

What is the difference between a square and identity matrix?

A square matrix has equal rows and columns; an identity matrix is a square matrix with 1s on the diagonal and 0s elsewhere.

When does a matrix have an inverse?

A square matrix has an inverse only if its determinant is non-zero.

Is matrix multiplication commutative?

No, matrix multiplication is generally not commutative; $AB$ may not equal $BA$.

Why is learning matrices important for Class 12 exams?

Matrices are fundamental in linear algebra and frequently appear in CBSE Class 12 Mathematics exams.

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