The question
If for a square matrix A A A ,
A . ( adj A ) = [ 2025 0 0 0 2025 0 0 0 2025 ] , \begin{aligned} &A.(\operatorname{adj} A) \\ &= \begin{bmatrix} 2025 & 0 & 0 \\ 0 & 2025 & 0 \\ 0 & 0 & 2025 \end{bmatrix}, \end{aligned} A . ( adj A ) = 2025 0 0 0 2025 0 0 0 2025 ,
then the value of ∣ A ∣ + ∣ adj A ∣ |A| + |\operatorname{adj} A| ∣ A ∣ + ∣ adj A ∣ is equal to:
(A) 1 1 1
(B) 2025 + 1 2025 + 1 2025 + 1
(C) ( 2025 ) 2 + 45 (2025)^2 + 45 ( 2025 ) 2 + 45
(D) 2025 + ( 2025 ) 2 2025 + (2025)^2 2025 + ( 2025 ) 2
Exam answer Show all explanations
For a square matrix A A A of order n n n , A ( adj A ) = ∣ A ∣ I n A\,(\operatorname{adj} A) = |A|\,I_n A ( adj A ) = ∣ A ∣ I n .
Why?
This is the basic property of the adjoint. Each diagonal entry of A ( adj A ) A\,(\operatorname{adj} A) A ( adj A ) is a row of A A A times the cofactors of that same row, which is the expansion of ∣ A ∣ |A| ∣ A ∣ . Each other entry uses the cofactors of a different row, and that sum is always 0.
The given matrix has 2025 on the diagonal and 0 elsewhere, so
A ( adj A ) = 2025 I 3 A\,(\operatorname{adj} A) = 2025\,I_3 A ( adj A ) = 2025 I 3
Why?
Taking 2025 out of every entry leaves 1 on the diagonal and 0 elsewhere, which is the identity matrix I 3 I_3 I 3 . So A A A is of order n = 3 n = 3 n = 3 .
[ 2025 0 0 0 2025 0 0 0 2025 ] = 2025 [ 1 0 0 0 1 0 0 0 1 ] = 2025 I 3 \begin{aligned} &\begin{bmatrix} 2025 & 0 & 0 \\ 0 & 2025 & 0 \\ 0 & 0 & 2025 \end{bmatrix} \\ &= 2025\begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} \\ &= 2025\,I_3 \end{aligned} 2025 0 0 0 2025 0 0 0 2025 = 2025 1 0 0 0 1 0 0 0 1 = 2025 I 3
Now A ( adj A ) = ∣ A ∣ I 3 A\,(\operatorname{adj} A) = |A|\,I_3 A ( adj A ) = ∣ A ∣ I 3 and also A ( adj A ) = 2025 I 3 A\,(\operatorname{adj} A) = 2025\,I_3 A ( adj A ) = 2025 I 3 . The numbers in front of I 3 I_3 I 3 must match, so ∣ A ∣ = 2025 |A| = 2025 ∣ A ∣ = 2025 .
Comparing with ∣ A ∣ I 3 |A|\,I_3 ∣ A ∣ I 3 , ∣ A ∣ = 2025 |A| = 2025 ∣ A ∣ = 2025 .
Using ∣ adj A ∣ = ∣ A ∣ n − 1 |\operatorname{adj} A| = |A|^{n - 1} ∣ adj A ∣ = ∣ A ∣ n − 1 with n = 3 n = 3 n = 3 ,
∣ adj A ∣ = ∣ A ∣ 3 − 1 = ( 2025 ) 2 |\operatorname{adj} A| = |A|^{3 - 1} = (2025)^2 ∣ adj A ∣ = ∣ A ∣ 3 − 1 = ( 2025 ) 2
Why?
Where the rule comes from: take determinants of both sides of A ( adj A ) = ∣ A ∣ I 3 A\,(\operatorname{adj} A) = |A|\,I_3 A ( adj A ) = ∣ A ∣ I 3 . Since ∣ k I 3 ∣ = k 3 |kI_3| = k^3 ∣ k I 3 ∣ = k 3 ,
∣ A ( adj A ) ∣ = ∣ ∣ A ∣ I 3 ∣ ∣ A ∣ ∣ adj A ∣ = ∣ A ∣ 3 \begin{aligned} |A\,(\operatorname{adj} A)| &= \big|\,|A|\,I_3\big| \\ |A|\,|\operatorname{adj} A| &= |A|^3 \end{aligned} ∣ A ( adj A ) ∣ ∣ A ∣ ∣ adj A ∣ = ∣ A ∣ I 3 = ∣ A ∣ 3
Here ∣ A ∣ = 2025 ≠ 0 |A| = 2025 \ne 0 ∣ A ∣ = 2025 = 0 , so we may divide by ∣ A ∣ |A| ∣ A ∣ . That leaves ∣ adj A ∣ = ∣ A ∣ 2 |\operatorname{adj} A| = |A|^2 ∣ adj A ∣ = ∣ A ∣ 2 .
∣ adj A ∣ = ∣ A ∣ 3 ∣ A ∣ = ∣ A ∣ 2 = ( 2025 ) 2 \begin{aligned} |\operatorname{adj} A| &= \frac{|A|^3}{|A|} = |A|^2 \\ &= (2025)^2 \end{aligned} ∣ adj A ∣ = ∣ A ∣ ∣ A ∣ 3 = ∣ A ∣ 2 = ( 2025 ) 2
Watch out: the power is n − 1 = 2 n - 1 = 2 n − 1 = 2 , not n = 3 n = 3 n = 3 .
∴ ∣ A ∣ + ∣ adj A ∣ = 2025 + ( 2025 ) 2 \begin{aligned} \therefore\ &|A| + |\operatorname{adj} A| \\ &= 2025 + (2025)^2 \end{aligned} ∴ ∣ A ∣ + ∣ adj A ∣ = 2025 + ( 2025 ) 2
Answer: (D) 2025 + ( 2025 ) 2 2025 + (2025)^2 2025 + ( 2025 ) 2