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Question 141 of 146

Q.If for a square matrix AA, A.(adjA)=[202500020250002025]A. (\text{adj}A) = \begin{bmatrix} 2025 & 0 & 0 \\ 0 & 2025 & 0 \\ 0 & 0 & 2025 \end{bmatrix}, then the value of ∣A∣+∣adjA∣|A| + |\text{adj}A| is equal to:
(A) 11
(B) 2025+12025+1
(C) (2025)2+45(2025)^2 + 45
(D) 2025+(2025)22025+(2025)^2

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The key idea is that A⋅(adj A)=∣A∣InA \cdot (\text{adj } A) = |A| I_n for any square matrix. Here, the given product equals 2025I32025 I_3, so ∣A∣=2025|A| = 2025. Then ∣adj A∣=∣A∣n−1=20252|\text{adj } A| = |A|^{n-1} = 2025^2, and the sum is 2025+202522025 + 2025^2, matching option (D).

We start with a fundamental property of adjoint matrices. For any square matrix AA of order nn, the product of AA and its adjoint is always a scalar matrix — specifically, the determinant of AA times the identity matrix. That is:

A⋅(adj A)=∣A∣ InA \cdot (\text{adj } A) = |A| \, I_n

This is not a coincidence; it comes from the fact that each entry of A⋅(adj A)A \cdot (\text{adj } A) is the expansion of a determinant along a row (or column), giving ∣A∣|A| on the diagonal and zero elsewhere. This single relation unlocks the entire problem.

Now, look at what we are given:

A⋅(adj A)=[202500020250002025]A \cdot (\text{adj } A) = \begin{bmatrix} 2025 & 0 & 0 \\ 0 & 2025 & 0 \\ 0 & 0 & 2025 \end{bmatrix}

This is clearly 20252025 times the 3×33 \times 3 identity matrix. So we have:

A⋅(adj A)=2025 I3A \cdot (\text{adj } A) = 2025 \, I_3

Comparing this with the formula A⋅(adj A)=∣A∣ I3A \cdot (\text{adj } A) = |A| \, I_3, we immediately see that:

∣A∣=2025|A| = 2025

That is the first piece. Now we need ∣adj A∣|\text{adj } A|.

There is another standard result: for an n×nn \times n matrix AA, the determinant of its adjoint is ∣A∣n−1|A|^{n-1}. Let’s see why this is true.

›Proof

Start from A⋅(adj A)=∣A∣ InA \cdot (\text{adj } A) = |A| \, I_n. Take determinants on both sides:

∣A⋅(adj A)∣=∣∣A∣ In∣|A \cdot (\text{adj } A)| = \big| |A| \, I_n \big|

The left side is ∣A∣⋅∣adj A∣|A| \cdot |\text{adj } A| (since det⁡(XY)=det⁡X⋅det⁡Y\det(XY) = \det X \cdot \det Y). The right side is ∣A∣n|A|^n because the determinant of a scalar matrix cInc I_n is cnc^n. So:

∣A∣⋅∣adj A∣=∣A∣n|A| \cdot |\text{adj } A| = |A|^n

If ∣A∣≠0|A| \neq 0, we can divide both sides by ∣A∣|A| to get:

∣adj A∣=∣A∣n−1|\text{adj } A| = |A|^{n-1} …

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