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Matrices and Determinants question

2025 · 29 Jan · Shift 2 · Q27
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Matrices and Determinants question

2025 · 29 Jan · Shift 2 · Q27

JEE MainMathematicsMatrices and DeterminantsMCQ+4 / −1
Let A=[aij]A = [a_{ij}]A=[aij​] be a 2×22 \times 22×2 matrix such that aij∈{0,1}a_{ij} \in \{0, 1\}aij​∈{0,1} for all iii and jjj. Let the random variable XXX denote the possible values of the determinant of the matrix AAA. Then, the variance of XXX is:
  1. A
    58\frac{5}{8}85​
  2. B
    14\frac{1}{4}41​
  3. C
    34\frac{3}{4}43​
  4. D
    38\frac{3}{8}83​
View written solutionFree

Correct answer: D

  1. Form of the matrix

Let

A=(abcd),A=\begin{pmatrix} a & b \\ c & d \end{pmatrix},A=(ac​bd​),

where each entry is either 000 or 111.

So there are total

24=162^4=1624=16

possible matrices, all equally likely.

The determinant is

X=det⁡(A)=ad−bc.X=\det(A)=ad-bc.X=det(A)=ad−bc.

Since a,b,c,d∈{0,1}a,b,c,d\in\{0,1\}a,b,c,d∈{0,1}, both adadad and bcbcbc can only be 000 or 111. Hence possible values of XXX are:

X∈{−1,0,1}.X\in\{-1,0,1\}.X∈{−1,0,1}.
  1. Count matrices for each determinant value

We count the number of matrices giving each value.

Case 1: X=1X=1X=1

We need

ad=1andbc=0.ad=1 \quad \text{and} \quad bc=0.ad=1andbc=0.

Now ad=1ad=1ad=1 implies

a=1, d=1.a=1,\ d=1.a=1, d=1.

Also bc=0bc=0bc=0 means (b,c)≠(1,1)(b,c)\neq(1,1)(b,c)=(1,1), so possible pairs are:

(0,0),(0,1),(1,0).(0,0), (0,1), (1,0).(0,0),(0,1),(1,0).

Thus number of matrices with determinant 111 is

3.3.3.

Case 2: X=−1X=-1X=−1

We need

ad=0andbc=1.ad=0 \quad \text{and} \quad bc=1.ad=0andbc=1.

Now bc=1bc=1bc=1 implies

b=1, c=1.b=1,\ c=1.b=1, c=1.

Also ad=0ad=0ad=0 means (a,d)≠(1,1)(a,d)\neq(1,1)(a,d)=(1,1), so possible pairs are:

(0,0),(0,1),(1,0).(0,0), (0,1), (1,0).(0,0),(0,1),(1,0).

Thus number of matrices with determinant −1-1−1 is

3.3.3.

Case 3: X=0X=0X=0

Remaining matrices:

16−3−3=10.16-3-3=10.16−3−3=10.

So number of matrices with determinant 000 is

10.10.10.

Therefore,

P(X=1)=316,P(X=−1)=316,P(X=0)=1016=58.P(X=1)=\frac{3}{16},\qquad P(X=-1)=\frac{3}{16},\qquad P(X=0)=\frac{10}{16}=\frac{5}{8}.P(X=1)=163​,P(X=−1)=163​,P(X=0)=1610​=85​.
  1. Find the mean E[X]E[X]E[X]
E[X]=1⋅316+(−1)⋅316+0⋅1016=0.E[X]=1\cdot \frac{3}{16}+(-1)\cdot \frac{3}{16}+0\cdot \frac{10}{16}=0.E[X]=1⋅163​+(−1)⋅163​+0⋅1610​=0.
  1. Find E[X2]E[X^2]E[X2]

Since X2=1X^2=1X2=1 when X=±1X=\pm 1X=±1, and X2=0X^2=0X2=0 when X=0X=0X=0,

E[X2]=1⋅316+1⋅316+0⋅1016=616=38.E[X^2]=1\cdot \frac{3}{16}+1\cdot \frac{3}{16}+0\cdot \frac{10}{16}=\frac{6}{16}=\frac{3}{8}.E[X2]=1⋅163​+1⋅163​+0⋅1610​=166​=83​.
  1. Variance
Var⁡(X)=E[X2]−(E[X])2=38−0=38.\operatorname{Var}(X)=E[X^2]-(E[X])^2=\frac{3}{8}-0=\frac{3}{8}.Var(X)=E[X2]−(E[X])2=83​−0=83​.
  1. Option check

The variance is

38.\boxed{\frac{3}{8}}.83​​.

So the correct option is:

D: 38\frac{3}{8}83​

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