Matrices: Step-by-Step Worked Examples (4)

easy 2 min read

Question

If A=(2134)A = \begin{pmatrix} 2 & 1 \\ 3 & 4 \end{pmatrix}, find A1A^{-1} using the cofactor method, and verify by computing AA1A \cdot A^{-1}. CBSE 2024 boards 4-mark.

Solution — Step by Step

det(A)=(2)(4)(1)(3)=83=5\det(A) = (2)(4) - (1)(3) = 8 - 3 = 5

Since det(A)0\det(A) \neq 0, AA is invertible.

For a 2×22 \times 2 matrix (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix}, the cofactor matrix is (dcba)\begin{pmatrix} d & -c \\ -b & a \end{pmatrix}.

cof(A)=(4312)\text{cof}(A) = \begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}

adj(A)=cof(A)T=(4132)\text{adj}(A) = \text{cof}(A)^T = \begin{pmatrix} 4 & -1 \\ -3 & 2 \end{pmatrix}

A1=1det(A)adj(A)=15(4132)=(4/51/53/52/5)A^{-1} = \frac{1}{\det(A)} \cdot \text{adj}(A) = \frac{1}{5}\begin{pmatrix} 4 & -1 \\ -3 & 2 \end{pmatrix} = \begin{pmatrix} 4/5 & -1/5 \\ -3/5 & 2/5 \end{pmatrix}

Verification: AA1=(2134)15(4132)=15(5005)=IA \cdot A^{-1} = \begin{pmatrix} 2 & 1 \\ 3 & 4 \end{pmatrix} \cdot \dfrac{1}{5}\begin{pmatrix} 4 & -1 \\ -3 & 2 \end{pmatrix} = \dfrac{1}{5}\begin{pmatrix} 5 & 0 \\ 0 & 5 \end{pmatrix} = I. ✓

Why This Works

The formula A1=1det(A)adj(A)A^{-1} = \dfrac{1}{\det(A)} \text{adj}(A) comes from the matrix identity Aadj(A)=det(A)IA \cdot \text{adj}(A) = \det(A) \cdot I. So dividing the adjugate by the determinant gives the inverse.

For 2×2 matrices, there’s a memorable shortcut: swap the diagonal entries, negate the off-diagonal entries, divide by the determinant. That’s exactly what cofactor + transpose does for the 2×2 case.

Alternative Method

For 2×2, the direct formula is unbeatable:

(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}

Memorise this. It saves 60 seconds on JEE Main MCQs and gives the answer in 5 seconds.

The biggest matrix-inverse mistake: forgetting to transpose the cofactor matrix. The cofactor matrix and the adjugate differ by a transpose. For 2×2 matrices, the transpose effect is just swapping the off-diagonal entries — easy to miss.

Always verify your inverse by multiplying AA1A \cdot A^{-1}. If you don’t get the identity matrix, you have an arithmetic error somewhere. Takes 30 seconds, catches 90% of mistakes.

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