Mathematics · Matrices

JEE Main 2026 — 22 January, Evening Shift — Question 9

If X=[xyz]X =\begin{bmatrix}x \\y \\z\end{bmatrix} is a solution of the system of equations AX=BAX = B where $ \operatorname{adj}(A) =

4 & 2 & 2 \\ -5 & 0 & 5 \\ 1 & -2 & 3 \end{bmatrix}$$ $ and $ B = $$\begin{bmatrix} 4 \\ 0 \\ 2 \end{bmatrix}$$ $ then $ |x+y+z| $ is equal to :
  1. Option A:

    33

  2. Option B:

    32\frac{3}{2}

  3. Option C:

    11

  4. Option D:

    22

    Correct

Answer: D

Step-by-step solution

Given adj(A)=[422−5051−23]\text{adj}(A) = \begin{bmatrix} 4 & 2 & 2 \\ -5 & 0 & 5 \\ 1 & -2 & 3 \end{bmatrix} and B=[402]B = \begin{bmatrix} 4 \\ 0 \\ 2 \end{bmatrix}. We know A−1=adj(A)∣A∣A^{-1} = \frac{\text{adj}(A)}{|A|}. First, find ∣adj(A)∣=∣A∣n−1|\text{adj}(A)| = |A|^{n-1} where n=3n=3, so ∣adj(A)∣=∣A∣2|\text{adj}(A)| = |A|^2. Compute ∣adj(A)∣=4(0⋅3−5⋅(−2))−2((−5)⋅3−5⋅1)+2((−5)⋅(−2)−0⋅1)|\text{adj}(A)| = 4(0\cdot3 - 5\cdot(-2)) - 2((-5)\cdot3 - 5\cdot1) + 2((-5)\cdot(-2) - 0\cdot1). =4(0+10)−2(−15−5)+2(10−0)=40−2(−20)+20=40+40+20=100= 4(0+10) - 2(-15-5) + 2(10-0) = 40 - 2(-20) + 20 = 40 + 40 + 20 = 100. Thus ∣A∣2=100⇒∣A∣=±10|A|^2 = 100 \Rightarrow |A| = \pm 10. Now X=A−1B=adj(A)∣A∣B=±110[422−5051−23][402]X = A^{-1}B = \frac{\text{adj}(A)}{|A|} B = \pm \frac{1}{10} \begin{bmatrix} 4 & 2 & 2 \\ -5 & 0 & 5 \\ 1 & -2 & 3 \end{bmatrix} \begin{bmatrix} 4 \\ 0 \\ 2 \end{bmatrix}. Compute product: [4⋅4+2⋅0+2⋅2−5⋅4+0⋅0+5⋅21⋅4+(−2)⋅0+3⋅2]=[16+0+4−20+0+104+0+6]=[20−1010]\begin{bmatrix} 4\cdot4 + 2\cdot0 + 2\cdot2 \\ -5\cdot4 + 0\cdot0 + 5\cdot2 \\ 1\cdot4 + (-2)\cdot0 + 3\cdot2 \end{bmatrix} = \begin{bmatrix} 16+0+4 \\ -20+0+10 \\ 4+0+6 \end{bmatrix} = \begin{bmatrix} 20 \\ -10 \\ 10 \end{bmatrix}. Thus X=±110[20−1010]=±[2−11]X = \pm \frac{1}{10} \begin{bmatrix} 20 \\ -10 \\ 10 \end{bmatrix} = \pm \begin{bmatrix} 2 \\ -1 \\ 1 \end{bmatrix}. Hence x+y+z=±(2−1+1)=±2x+y+z = \pm (2-1+1) = \pm 2,

so ∣x+y+z∣=2|x+y+z| = 2.

Answer key and solution verified before publishing.

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Exam
JEE Main 2026
Subject
Mathematics
Chapter
Matrices
Topic
solving System of Linear Equations using Matrices