Q.Find the inverse of A=2−11−12−11−12 by the adjoint method.
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Concept understanding — Inverse of a Matrix by the Adjoint Method
A square matrix A is non-singular if its determinant |A| ≠ 0 (and singular if |A| = 0); only a non-singular matrix has an inverse. The adjoint adj(A) is the transpose of the matrix of cofactors, and A⁻¹ = (1/|A|)·adj(A). For a 2×2 matrix [[a,b],[c,d]], adj(A) is found by the shortcut of swapping the diagonal entries and negating the off-diagonal entries. For a 3×3 matrix, all nine cofactors must be computed individually before transposing. Every inverse should be checked by verifying AA⁻¹ = I.
For a 3×3 matrix, every cofactor must be computed individually before the adjoint (transpose of the cofactor matrix) can be formed and divided by the determinant.
∣A∣=4=0, and A−1=4131−1131−113.
Expanding along row 1, ∣A∣=2(4−1)−(−1)(−2+1)+1(1−2)=6−1−1=4. All nine cofactors, arranged and transposed, give the adjoint shown; dividing by 4 gives A−1.
Cofactor matrix =31−1131−113. This particular cofactor matrix is symmetric, so its transpose (the adjoint) is identical:
adj(A)=31−1131−113
Step 4 — Inverse
A−1=4131−1131−113
Check (independent recomputation): multiplying A by adj(A) directly, row 1 of A, (2,−1,1), with column 1 of the adjoint, (3,1,−1), gives 2(3)+(−1)(1)+1(−1)=6−1−1=4=∣A∣✓; row 1 with column 2, (1,3,1), gives 2(1)+(−1)(3)+1(1)=2−3+1=0✓ (correctly zero, off the diagonal) — confirming A⋅adj(A)=∣A∣⋅I as required.
✓Final answer
A−1=4131−1131−113
Forgetting the alternating (−1)i+j sign when computing a cofactor (e.g. omitting the minus sign on C12), and forgetting to TRANSPOSE the cofactor matrix before calling it the adjoint.
Same / Similar Concept — real previous-year questions on the same or a closely similar concept, not this exact question.
CBSE 2022Set ANNUAL2 marks
Q.What is a singular matrix ?
›Reveal solutionSolution
Singular matrix: ∣A∣=0, so A−1 does not exist.
A singular matrix is a square matrix whose determinant is zero:
∣A∣=0.
Significance: the inverse of a square matrix is A−1=∣A∣1adj(A). When ∣A∣=0 this is undefined (division by zero), so a singular matrix is non-invertible. A square matrix with ∣A∣=0 is called non-singular and does possess an inverse.
✓Final answer
A singular matrix is a square matrix with determinant ∣A∣=0; it therefore has no inverse.