Mathematics · Probability

JEE Main 2025 — 29 January, Evening Shift — Question 56

Let A=[aij]\mathrm{A}=\left[\mathrm{a}_{\mathrm{ij}}\right] be a 2×22 \times 2 matrix such that aij∈{0,1}\mathrm{a}_{\mathrm{ij}} \in\{0,1\} for all i and j .

Let the random variable X denote the possible values of the determinant of the matrix AA. Then, the variance of X is:

  1. Option A:

    14\frac{1}{4}

  2. Option B:

    38\frac{3}{8}

    Correct
  3. Option C:

    58\frac{5}{8}

  4. Option D:

    34\frac{3}{4}

Answer: B

Step-by-step solution

Let

A=(abcd),a,b,c,d∈{0,1}.A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}, \quad a,b,c,d \in \{0,1\}.

Let the random variable X=det⁡(A)=ad−bcX = \det(A) = ad - bc.

Count possibilities X=1X = 1 if ad=1ad = 1 and bc=0bc = 0 ⇒\Rightarrow 3 cases X=−1X = -1 if ad=0ad = 0 and bc=1bc = 1 ⇒\Rightarrow 3 cases X=0X = 0 otherwise ⇒\Rightarrow 10 cases

Total matrices: 24=162^4 = 16.

Hence, the probabilities are:

P(X=1)=316,P(X=−1)=316,P(X=0)=1016=58.P(X=1) = \frac{3}{16}, \quad P(X=-1) = \frac{3}{16}, \quad P(X=0) = \frac{10}{16} = \frac{5}{8}.

Compute expectation and variance

E(X)=1⋅316+(−1)⋅316+0⋅1016=0E(X) = 1\cdot \frac{3}{16} + (-1)\cdot \frac{3}{16} + 0 \cdot \frac{10}{16} = 0 E(X2)=12⋅316+(−1)2⋅316+02⋅1016=616=38E(X^2) = 1^2 \cdot \frac{3}{16} + (-1)^2 \cdot \frac{3}{16} + 0^2 \cdot \frac{10}{16} = \frac{6}{16} = \frac{3}{8} 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)=38\boxed{\operatorname{Var}(X) = \frac{3}{8}}
Solution figure

Answer key and solution verified before publishing.

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Exam
JEE Main 2025
Subject
Mathematics
Chapter
Probability
Topic
Mean, variance, expected values of distributions
Let A = [ a ij ] be a 2 × 2 matrix such that a ij in\ 0,1\ for all i… | JEE Main 2025 PYQ with Solution · DhiX AI