Q.If A=111343334, then verify that AadjA=∣A∣I. Also find A−1.
Concept understanding — Adjoint Matrix Property
The Adjoint Matrix and Its Central Property
You have a square matrix A and want to find A−1. There is a clean route through the adjoint (or adjugate) of A — a matrix built from the cofactors of A that has a beautiful relationship with A itself.
The intuition
For a 2×2 matrix you already know the inverse:
A=(acbd),A−1=ad−bc1(d−c−ba).
That second matrix, (d−c−ba), is exactly adj(A). The adjoint is the object you multiply by 1/det(A) to recover the inverse.
In Indian exam usage, "adjoint" always means the adjugate — the transpose of the cofactor matrix — not the Hermitian conjugate.
Building the adjoint
For each entry aij of an n×n matrix, the cofactor is
Cij=(−1)i+jMij,
where Mij is the minor (the determinant left after deleting row i and column j). Collect the cofactors into the cofactor matrix, then transpose:
adj(A)=[Cij]T,
so the (i,j) entry of adj(A) is Cji.
The central property
A⋅adj(A)=adj(A)⋅A=det(A)In.
Why? The (i,i) entry of Aadj(A) is ai1Ci1+⋯+ainCin — precisely the expansion of det(A) along row i. An off-diagonal (i,j) entry is the expansion of a determinant with two equal rows, which is 0.
Consequences
- If det(A)=0: A−1=det(A)1adj(A).
- If det(A)=0: A⋅adj(A)=O, so the adjoint annihilates A.
- Order fact: det(adj(A))=det(A)n−1.
The adjoint is the transpose of the cofactor matrix, not the cofactor matrix itself. Forgetting the transpose (which swaps the off-diagonal cofactors) is the most common slip.
For A=(1324), the cofactors give adj(A)=(4−3−21), and indeed Aadj(A)=(−200−2)=(−2)I2=det(A)I2.
The Adjoint Matrix Property connecting A · adj(A) to det(A)·I is central to the CBSE Class 12 Determinants chapter, where it forms the standard route to computing a matrix inverse using the adjoint method — a topic frequently listed under "adjoint and inverse of a matrix important questions" for board exams. This identity also underpins the matrix method for solving simultaneous linear equations, tested in both CBSE boards and JEE Main.
This checks the identity A(adjA)=∣A∣I and uses it to invert A.
Determinant. Expanding along column 1,
∣A∣=1(16−9)−1(12−9)+1(9−12)=7−3−3=1.
Adjoint. The cofactor matrix is 7−3−3−110−101, so its transpose is
adjA=7−1−1−310−301.
Verify. A(adjA)=1113433347−1−1−310−301=100010001=1⋅I=∣A∣I. ✓
Inverse. Since ∣A∣=1, A−1=∣A∣1adjA=adjA.
A(adjA)=∣A∣I is verified, and A−1=7−1−1−310−301.
∣A∣=1, and adjA=7−1−1−310−301. Multiplying A(adjA) gives I=∣A∣I, so A−1=adjA.
Why the identity holds
For any square matrix, A(adjA)=∣A∣I. Each diagonal entry of the product is the expansion of ∣A∣ along a row, while each off-diagonal entry is the expansion of a determinant with two equal rows, which is 0. When ∣A∣=0 this gives A−1=∣A∣1adjA.
Step 1 — Determinant
A=111343334.
Expanding along column 1,
∣A∣=14334−13334+13433=1(7)−1(3)+1(−3)=1.
Step 2 — Cofactors
C11=7, C12=−1, C13=−1,C21=−3, C22=1, C23=0,C31=−3, C32=0, C33=1.
So the cofactor matrix is 7−3−3−110−101.
Step 3 — Adjoint (transpose the cofactors)
adjA=7−1−1−310−301.
Step 4 — Verify A(adjA)=∣A∣I
Multiplying row by column, for example row 1: 1(7)+3(−1)+3(−1)=1, 1(−3)+3(1)+3(0)=0, 1(−3)+3(0)+3(1)=0. Carrying this through all rows,
A(adjA)=100010001=1⋅I=∣A∣I.
The identity is verified.
Step 5 — Inverse
Since ∣A∣=1=0,
A−1=∣A∣1adjA=adjA=7−1−1−310−301.
A(adjA)=∣A∣I holds, and A−1=7−1−1−310−301.
Method: Verifying A⋅adj(A)=∣A∣I and Extracting the Inverse
This method both proves the central adjoint identity for a specific matrix and uses it to find the matrix's inverse — the standard "adjoint method" for a 3×3 (or larger) matrix.
Steps
Step 1: Compute the determinant ∣A∣
Expand along whichever row or column is most convenient. If ∣A∣=0, stop here — the matrix has no inverse and A⋅adj(A) will equal the zero matrix instead.
Step 2: Compute every cofactor Cij
For each of the nine positions, delete the row and column, evaluate the 2×2 minor, and attach the checkerboard sign.
Step 3: Transpose the cofactor matrix to get adj(A)
adj(A)=[Cij]T
This transpose step is easy to forget — double check that the off-diagonal cofactors have been swapped, not left in place.
Step 4: Multiply A⋅adj(A) and confirm it equals ∣A∣I
Carry out the full 3×3 matrix multiplication. Every diagonal entry of the product should come out equal to ∣A∣, and every off-diagonal entry should come out exactly 0 — that's the identity being verified.
Step 5: Extract the inverse
Once verified,
A−1=∣A∣1adj(A).
If ∣A∣=1, the inverse is simply the adjoint itself, with no further scaling needed.
This method is the general-purpose route to inverting any 3×3 matrix with a nonzero determinant, and doubles as the standard "prove the identity" exam question when the verification itself is asked for.
Common Mistakes
Mistake 1: A sign error in one of the nine cofactors, going undetected until the verification fails
Why it's wrong: with nine separate 2×2 minors and their signs to track, a single slip throws off both the adjoint and the final inverse. Correct approach: use the identity A⋅adj(A)=∣A∣I itself as a check — if the off-diagonal entries of the product aren't exactly zero, a cofactor was computed incorrectly and needs to be re-derived.
Mistake 2: Forgetting to divide by ∣A∣ when forming A−1 (or not realizing division is still a required step when ∣A∣=1)
Why it's wrong: the formula A−1=∣A∣1adj(A) always needs that division step written explicitly — skipping it because ∣A∣ happens to equal 1 here can build a bad habit that produces wrong answers whenever ∣A∣=1 in a later problem. Correct approach: always write the division step explicitly, even when it doesn't change any numbers.
- KEAM 2025Set eng-2025-04234 marksMCQQ.Let A be a 3×3 matrix and let B=3A. If ∣A∣=5, then the value of ∣3A∣∣adj B∣ is equal to (A) 27 (B) 125 (C) 25 (D) 135 (E) 81
›Reveal solutionSolution
With |B| = 135, |adj B| = 135^2, so |adj B|/|3A| = 135.
Concept and Intuition
For an n x n matrix, |adj B| = |B|^(n-1); here n = 3 so it is |B|^2. Also |3A| = 3^3 |A| = |B|. The ratio collapses to |B|.
Step-by-Step Solution
- |B| = |3A| = 3^3 * |A| = 27 * 5 = 135.
- |adj B| = |B|^(3-1) = 135^2.
- |adj B| / |3A| = 135^2 / 135 = 135.
Common Mistakes
- Using |adj B| = |B|^n instead of |B|^(n-1), or forgetting |3A| = 3^3|A|.
✓Final answerThe correct option is (D) — 135.
ANSWER: D
- KEAM 2025Set eng-2025-04274 marksMCQQ.Let A be a square matrix of order 3 and ∣A∣=9. Then ∣adj(adjA)∣= (A) 6561 (B) 6564 (C) 6569 (D) 8187 (E) 8164
›Reveal solutionSolution
∣adj(adjA)∣=∣A∣(n−1)2; with n=3, ∣A∣=9 this is 94=6561.
For an n×n matrix, ∣adjA∣=∣A∣n−1. Applying twice,
∣adj(adjA)∣=(∣adjA∣)n−1=(∣A∣n−1)n−1=∣A∣(n−1)2.
With n=3 and ∣A∣=9:
∣A∣(3−1)2=94=6561.
✓Final answerThe correct option is (A).
- KEAM 2025Set eng-2025-04284 marksMCQQ.If A=10012011−2 then ∣adj(adjA)∣ is equal to (A) 16 (B) 256 (C) 128 (D) -256 (E) -16
›Reveal solutionSolution
For an n×n matrix, ∣adj(adjA)∣=∣A∣(n−1)2. Here n=3, ∣A∣=−4, so (−4)4=256.
A is upper triangular, so ∣A∣=1⋅2⋅(−2)=−4.
Using ∣adjA∣=∣A∣n−1 twice, for n=3:
∣adj(adjA)∣=∣A∣(n−1)2=∣A∣4=(−4)4=256.
✓Final answerThe correct option is (B).
- KEAM 2024Set eng-2024-06074 marksMCQQ.Let A be a 3×3 matrix with ∣A∣=7. If B=3A, then the value of ∣B∣∣adjA∣ is equal to (A) 37 (B) 97 (C) 949 (D) 277 (E) 2749
›Reveal solutionSolution
Use ∣kA∣=kn∣A∣ and ∣adjA∣=∣A∣n−1 for n=3.
With n=3 and ∣A∣=7: ∣B∣=∣3A∣=33∣A∣=27⋅7=189, and ∣adjA∣=∣A∣n−1=72=49. Therefore ∣B∣∣adjA∣=18949=277.
✓Final answerThe correct option is (D).
- KEAM 2024Set eng-2024-06084 marksMCQQ.If A=[3275], then A2(adjA) is (A) I (B) 4I (C) 2A (D) 3A (E) A
›Reveal solutionSolution
Use A(adjA)=(detA)I with detA=1.
For A=[3275], detA=15−14=1.
The fundamental identity is A(adjA)=(detA)I=1⋅I=I.
Therefore
A2(adjA)=A[A(adjA)]=A⋅I=A.
✓Final answerThe correct option is (E).
- KEAM 2024Set eng-2024-06094 marksMCQQ.If B=112α34334 is the adjoint of 3×3 matrix A and ∣A∣=4, then the value of α is (A) 4 (B) 7 (C) 9 (D) 11 (E) 13
›Reveal solutionSolution
Since B=adjA for a 3×3 matrix, ∣B∣=∣A∣2=16; solving 2α−6=16 gives α=11.
For an n×n matrix, ∣adjA∣=∣A∣n−1. With n=3 and ∣A∣=4, ∣B∣=42=16.
Compute detB for B=112α34334:
detB=1(3⋅4−3⋅4)−α(1⋅4−3⋅2)+3(1⋅4−3⋅2)=0−α(−2)+3(−2)=2α−6.
Set 2α−6=16⇒2α=22⇒α=11.
✓Final answerThe correct option is (D).
- KEAM 2023Set eng-2023-P2-B24 marksMCQQ.Let A be an invertible matrix of size 4×4 with complex entries. If the determinant of adj (A) is 5, then the number of possible value of determinant of A is (A) 1 (B) 4 (C) 6 (D) 3 (E) 2
›Reveal solutionSolution
det(adj A) = det(A)³ = 5 has 3 complex cube-root solutions for det(A).
Concept and Intuition
For an n×n matrix, det(adj A) = (det A)^(n−1). With complex entries det(A) may be any complex number satisfying the resulting equation.
Step-by-Step Solution
- n = 4, so det(adj A) = det(A)^(4−1) = det(A)³.
- det(A)³ = 5.
- Over ℂ, z³ = 5 has exactly 3 distinct cube roots.
- So det(A) has 3 possible values.
Common Mistakes
- Using exponent n instead of n−1.
✓Final answerThe correct option is (D) — 3.
ANSWER: D
- KEAM 2023Set eng-2023-P2-B24 marksMCQQ.If A=[5a3−b2] and A⋅adjA=AAT, then which of the following statements is true (A) 5a−b=−5 (B) 5a+b=10 (C) det(A)<0 (D) A is symmetric (E) det(A)≥0
›Reveal solutionSolution
The condition forces det(A) = 13, which is ≥ 0.
Concept and Intuition
A·adj(A) = det(A)·I always, so the condition A·adj A = AA^T means AA^T = det(A)·I. This requires the off-diagonal of AA^T to vanish and the diagonal to equal det(A).
Step-by-Step Solution
- A = [[5a, −b],[3, 2]]. AA^T = [[25a²+b², 15a−2b],[15a−2b, 13]].
- det(A)·I = [[10a+3b, 0],[0, 10a+3b]].
- Off-diagonal: 15a − 2b = 0 ⇒ b = 7.5a.
- Lower-right: 13 = det(A) = 10a + 3b ⇒ 32.5a = 13 ⇒ a = 0.4, b = 3.
- Check 25a²+b² = 4 + 9 = 13 ✓. So det(A) = 13 ≥ 0.
Common Mistakes
- Testing options like 5a−b or 5a+b without solving; only det(A) ≥ 0 holds (13).
✓Final answerThe correct option is (E) — det(A) ≥ 0.
ANSWER: E
- KEAM 2023Set eng-2023-P2-B24 marksMCQQ.Suppose A=a1a2a3b1b2b3c1c2c3 is an adjoint of the matrix 111343334. The value of b1a2a1+b2+c3 is (A) 0 (B) 3 (C) 1 (D) 2 (E) 4
›Reveal solutionSolution
The adjoint has trace 9 and b1·a2 = 3, so the ratio is 3.
Concept and Intuition
Compute the adjoint of the given matrix (transpose of the cofactor matrix); then read off the required diagonal sum and specific off-diagonal entries.
Step-by-Step Solution
- For M = [[1,3,3],[1,4,3],[1,3,4]], det(M) = 1.
- Cofactors give adj(M) = [[7,−3,−3],[−1,1,0],[−1,0,1]].
- a1 = 7, b2 = 1, c3 = 1 ⇒ a1+b2+c3 = 9 (trace).
- b1 = −3, a2 = −1 ⇒ b1·a2 = 3.
- Ratio = 9/3 = 3.
Common Mistakes
- Forgetting adjoint is the transpose of the cofactor matrix.
✓Final answerThe correct option is (B) — 3.
ANSWER: B
- KEAM 2022Set eng-2022-P2-B14 marksMCQQ.Let A=211110−2−13 and let B=∣A∣adj(A). Then ∣B∣= (A) 256 (B) 64 (C) 512 (D) 1024 (E) 128
›Reveal solutionSolution
∣B∣=1024.
Concept and Intuition
For an n×n matrix, ∣kM∣=kn∣M∣ and ∣adj(A)∣=∣A∣n−1.
Step-by-Step Solution
- Compute ∣A∣=2(1⋅3−(−1)⋅0)−1(1⋅3−(−1)⋅1)+(−2)(1⋅0−1⋅1).
- =2(3)−1(4)+(−2)(−1)=6−4+2=4.
- B=∣A∣adj(A)=4adj(A), so ∣B∣=43∣adj(A)∣ (since n=3).
- ∣adj(A)∣=∣A∣n−1=42=16.
- ∣B∣=64×16=1024.
Common Mistakes
- Forgetting the scalar factor kn with n=3.
- Using ∣adj(A)∣=∣A∣ instead of ∣A∣n−1.
✓Final answerThe correct option is (D) — 1024.
ANSWER: D
- KEAM 2022Set eng-2022-P2-B14 marksMCQQ.If A is non-singular matrix and if A−1=21[−102−41], then adj(A)= (A) [−12−410] (B) [10−24−1] (C) [1−24−10] (D) [−102−41] (E) [−110−42]
›Reveal solutionSolution
adj(A)=[10−24−1].
Concept and Intuition
Since A−1=∣A∣adj(A), we have adj(A)=∣A∣A−1; find ∣A∣ from ∣A−1∣=1/∣A∣.
Step-by-Step Solution
- A−1=21[−102−41].
- ∣A−1∣=(21)2((−10)(1)−(−4)(2))=41(−10+8)=−21.
- ∣A∣=∣A−1∣1=−2.
- adj(A)=∣A∣A−1=−2⋅21[−102−41]=−[−102−41]=[10−24−1].
Common Mistakes
- Forgetting the (1/2)2 factor when computing ∣A−1∣.
- Sign error making ∣A∣=+2.
✓Final answerThe correct option is (B) — [10−24−1].
ANSWER: B
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