Find Inverse of a 2×2 Matrix

easy CBSE JEE-MAIN CBSE 2024 Board Exam 4 min read

Question

Given matrix A=(3152)A = \begin{pmatrix} 3 & 1 \\ 5 & 2 \end{pmatrix}, find A1A^{-1}. Also state the condition under which the inverse does not exist.


Solution — Step by Step

Before anything else, we calculate the determinant. If A=0|A| = 0, we stop — the inverse simply doesn’t exist.

A=(3)(2)(1)(5)=65=1|A| = (3)(2) - (1)(5) = 6 - 5 = 1

Since A=10|A| = 1 \neq 0, we’re good to proceed.

For a 2×2 matrix (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix}, the cofactors follow a fixed sign pattern (++)\begin{pmatrix} + & - \\ - & + \end{pmatrix}.

C11=+2,C12=5,C21=1,C22=+3C_{11} = +2, \quad C_{12} = -5, \quad C_{21} = -1, \quad C_{22} = +3

Cofactor matrix =(2513)= \begin{pmatrix} 2 & -5 \\ -1 & 3 \end{pmatrix}

The adjoint (or adjugate) is the transpose of the cofactor matrix — rows become columns.

adj(A)=(2153)\text{adj}(A) = \begin{pmatrix} 2 & -1 \\ -5 & 3 \end{pmatrix}
A1=1Aadj(A)=11(2153)A^{-1} = \frac{1}{|A|} \cdot \text{adj}(A) = \frac{1}{1} \begin{pmatrix} 2 & -1 \\ -5 & 3 \end{pmatrix} A1=(2153)\boxed{A^{-1} = \begin{pmatrix} 2 & -1 \\ -5 & 3 \end{pmatrix}} (3152)(2153)=(653+310105+6)=(1001)\begin{pmatrix} 3 & 1 \\ 5 & 2 \end{pmatrix} \begin{pmatrix} 2 & -1 \\ -5 & 3 \end{pmatrix} = \begin{pmatrix} 6-5 & -3+3 \\ 10-10 & -5+6 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} ✓

Always spend 20 seconds on this verification in board exams — it’s a free error check.


Why This Works

The formula A1=1Aadj(A)A^{-1} = \frac{1}{|A|} \cdot \text{adj}(A) comes from a deeper identity: Aadj(A)=AIA \cdot \text{adj}(A) = |A| \cdot I. Dividing both sides by A|A| gives us the inverse. This is why A=0|A| = 0 breaks everything — we’d be dividing by zero.

For a 2×2 matrix, there’s actually a pattern worth memorising: swap the diagonal elements, negate the off-diagonal elements, then divide by the determinant. So (abcd)1=1adbc(dbca)\begin{pmatrix} a & b \\ c & d \end{pmatrix}^{-1} = \frac{1}{ad-bc}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}. This bypasses the cofactor step entirely for 2×2.

The condition for non-existence — A=0|A| = 0 — means the matrix is singular. Geometrically, a singular matrix collapses 2D space onto a line, and you can’t “undo” that collapse.


Alternative Method

For 2×2 specifically, use the shortcut formula directly:

A=(3152)    A1=1(3)(2)(1)(5)(2153)A = \begin{pmatrix} 3 & 1 \\ 5 & 2 \end{pmatrix} \implies A^{-1} = \frac{1}{(3)(2)-(1)(5)} \begin{pmatrix} 2 & -1 \\ -5 & 3 \end{pmatrix}

Pattern: swap the main diagonal (323 \leftrightarrow 2), negate the anti-diagonal (111 \to -1, 555 \to -5), divide by determinant.

In CBSE 2024, a 2×2 inverse question appeared for 3 marks. Using this shortcut saves roughly 2 minutes versus the full cofactor method. For 3×3 matrices though, there’s no shortcut — you must go through all 9 cofactors.


Common Mistake

The most frequent error: forgetting to transpose when writing the adjoint. Students compute the cofactor matrix correctly, then write it directly as the adjoint. The adjoint is the transpose of the cofactor matrix — rows and columns must be swapped. In this problem, the cofactor matrix has 5-5 in position (1,2), but the adjoint has 5-5 in position (2,1). Mixing these up gives a wrong inverse that won’t satisfy AA1=IAA^{-1} = I, which is exactly why verification matters.

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