

How to Find the Inverse of a Matrix (Stepwise for Students)
The concept of Inverse Matrix plays a key role in mathematics and is widely applicable to both real-life situations and exam scenarios. From solving systems of equations to data science and cryptography, knowing how to find and use the inverse of a matrix is a fundamental Maths tool taught from class 11 onwards. You’ll see the inverse matrix in CBSE, ICSE, JEE, and Olympiad exams—so mastering it is crucial for scoring full marks!
What Is Inverse Matrix?
An inverse matrix is a special type of square matrix that, when multiplied with the original matrix, results in the identity matrix. More formally, if A is a square matrix and there exists another matrix A-1 such that:
A × A-1 = A-1 × A = I
then A-1 is called the inverse of matrix A. The inverse matrix exists only if A is non-singular (its determinant is not zero). You’ll find this concept applied in algebra, physics, and computer graphics (adjugate matrix, row operations, etc).
Key Formula for Inverse Matrix
Here’s the standard formula for finding the inverse of a square matrix A:
Inverse(A) = \( \mathbf{A}^{-1} = \frac{1}{|A|} \times \text{adj}(A) \), provided |A| ≠ 0
For a 2x2 Matrix:
Matrix | Inverse Formula |
---|---|
A = [[a, b], [c, d]] | \( \mathbf{A}^{-1} = \frac{1}{ad-bc} \begin{bmatrix} d & -b \\ -c & a \end{bmatrix} \), if \(ad-bc \neq 0\) |
For a 3x3 Matrix: Use the adjugate (cofactor and transpose), then divide by the determinant.
Cross-Disciplinary Usage
Inverse matrix is not only useful in Maths but also plays an important role in Physics (solving simultaneous equations), Computer Science (image processing, cryptography), and daily logical reasoning. Students preparing for JEE or NEET will see its relevance in various questions on linear algebra and equations.
Step-by-Step Illustration
Example: Find the inverse of A = [[2, 3], [1, 4]]
1. Find the determinant: |A| = (2 × 4) - (3 × 1) = 8 - 3 = 52. Write the formula:
3. Calculate each element:
You can check your answer by multiplying the original matrix and its inverse to get the identity matrix.
Speed Trick or Vedic Shortcut
Here’s a quick shortcut for inverse of a 2x2 matrix:
- Swap the numbers on the main diagonal (top-left & bottom-right).
- Change the signs of the other two (off-diagonal) elements.
- Divide every element by the determinant.
Example: Matrix [[a, b], [c, d]], Inverse = (1/(ad-bc)) × [[d, -b], [-c, a]]
This shortcut is super helpful for last-minute exam checks! Vedantu’s live classes teach more matrix tricks for competitive exams.
Try These Yourself
- Find the inverse of A = [[3, 2], [7, 5]] using the shortcut formula.
- Determine if matrix [[1, 2], [2, 4]] has an inverse.
- Use elementary row operations to find the inverse of [[2, 1], [5, 3]].
Frequent Errors and Misunderstandings
- Forgetting that only square matrices (same rows and columns) can have inverses.
- Not checking the determinant—if it’s zero, the matrix doesn’t have an inverse!
- Mixing up the order in matrix multiplication. (A × A-1 = I, but A-1 × A = I too, only if square and invertible.)
Relation to Other Concepts
The idea of inverse matrix connects closely with topics such as Determinant, and Matrix Multiplication. Mastering this helps with understanding solutions of systems of equations and advanced linear algebra topics in future chapters. Also, see the Types of Matrices to recognize when an inverse is possible.
Classroom Tip
A helpful way to remember the 2x2 inverse formula: “Swap, Sign, and Divide.” Swap diagonal, change signs of off-diagonal, then divide by determinant. Vedantu’s teachers often use this memory trick in live batches to make exams easy!
We explored Inverse Matrix—from definition, formula, stepwise examples, frequent mistakes, and connection to key Maths concepts. Keep practicing with Vedantu’s expert-curated materials to boost your understanding and score full marks with confidence!
Determinant of a 3x3 Matrix | Matrix Multiplication |
FAQs on Inverse Matrix Explained with Formula, Steps & Examples
1. What is an inverse matrix and when does it exist?
An inverse matrix, denoted as A⁻¹, is a special square matrix that, when multiplied by the original matrix A, yields the identity matrix (I). The relationship is A × A⁻¹ = A⁻¹ × A = I. A key condition for an inverse to exist is that the matrix must be non-singular, which means its determinant must not be zero (|A| ≠ 0).
2. What is the general formula used to find the inverse of a matrix?
The standard formula for finding the inverse of any square matrix A is: A⁻¹ = (1/|A|) × adj(A). In this formula, |A| represents the determinant of the matrix, and adj(A) is the adjugate (or adjoint) of the matrix. This formula directly shows that the inverse is undefined if the determinant is zero.
3. What are the main steps to calculate the inverse of a 3x3 matrix?
To find the inverse of a 3x3 matrix, you follow a systematic process as per the CBSE syllabus for the 2025-26 session:
- Step 1: Calculate the Determinant: First, find the determinant of the matrix. If it is zero, the inverse does not exist, and the process stops.
- Step 2: Find the Matrix of Minors: For each element, calculate the determinant of the 2x2 matrix that remains after removing the element's row and column.
- Step 3: Create the Matrix of Cofactors: Apply the checkerboard pattern of signs (+, -, +, -, etc.) to the matrix of minors.
- Step 4: Find the Adjugate (Adjoint): Transpose the matrix of cofactors by swapping its rows and columns.
- Step 5: Calculate the Inverse: Multiply this adjugate matrix by the reciprocal of the determinant (1/|A|).
4. Why is the determinant crucial for finding a matrix's inverse?
The determinant is crucial because it indicates whether a unique inverse exists. The formula for the inverse, A⁻¹ = (1/|A|) × adj(A), involves dividing by the determinant. If the determinant |A| is zero, this division is impossible, meaning the matrix is singular and has no inverse. Geometrically, a zero determinant implies that the matrix collapses space into a lower dimension (e.g., a plane into a line), a transformation that cannot be reversed.
5. What are some important real-world applications of the inverse matrix concept?
The inverse matrix is a fundamental tool used in various fields beyond mathematics. Key applications include:
- Solving Systems of Linear Equations: It provides a direct method to solve equations of the form Ax = b, where the solution is x = A⁻¹b.
- Computer Graphics: Used for 3D transformations like rotating, scaling, and translating objects, and then reversing those actions.
- Cryptography: Employed in certain algorithms to encrypt and decrypt messages by transforming data blocks.
- Engineering and Physics: Applied in structural analysis, electrical circuits, and quantum mechanics to solve complex systems of interdependent equations.
6. Is there a shortcut to find the inverse of a 2x2 matrix?
Yes, there is a very efficient shortcut for a 2x2 matrix. For a matrix A = [[a, b], [c, d]], the inverse is calculated as: A⁻¹ = (1 / (ad - bc)) × [[d, -b], [-c, a]]. The term (ad - bc) is the determinant. This simple method involves swapping the elements on the main diagonal, changing the signs of the off-diagonal elements, and then dividing the entire new matrix by the determinant.
7. What is the key difference between the transpose and the inverse of a matrix?
The transpose and inverse are two distinct matrix operations with different purposes. The transpose of a matrix (Aᵀ) is found by simply swapping its rows and columns. It's a structural rearrangement. In contrast, the inverse of a matrix (A⁻¹) is a functional operator that 'undoes' the effect of the original matrix through multiplication (A × A⁻¹ = I). Finding the inverse is a more complex calculation involving the determinant and adjugate, and it only exists for non-singular square matrices.

















