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Question #41815

Difficulty: 8/10 | 🟢 Free

The Question

Let BB be a 3×33 \times 3 matrix such that B2=IB^2 = I, B≠IB \neq I, and B≠−IB \neq -I. Let A=12(I−B)A = \frac{1}{2}(I - B). The probability of success of an event is given by p=det⁡(A)p = \det(A). A trial is repeated 216216 times independently. Let XX be the number of successes, and let λ=P(X≥1)\lambda = P(X \ge 1). If P(x)=det⁡(A−xI)P(x) = \det(A - x I) and Q(x)=det⁡(B−xI)Q(x) = \det(B - x I), find the value of P(λ)+(Q(λ))2P(\lambda) + (Q(\lambda))^2.

Options

  • A.

    0

  • B.

    1

  • C.

    2

  • D.

    4

Check Your Answer

Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Monster

Ultra-high difficulty questions designed to test your limit, stamina, and deep conceptual understanding.

Concepts Behind This Question

Binomial Distribution Tail-Ends|Characteristic Equation|Idempotent and Involutory Properties

Why This Question Is Tricky

Common Mistakes

This question creates a 'Lethal Collision' between matrix transformations and probability.

The primary trap lies in the involutory-to-idempotent transformation A=12(I−B)A = \frac{1}{2}(I - B).

Students often attempt to calculate det⁡(A)\det(A) algebraically or assume a non-zero probability, leading them into a computationally impossible binomial tail-end summation for n=216n=216.

The conceptual bypass requires recognizing that since B≠−IB \neq -I, AA must have at least one eigenvalue of 0, making p=det⁡(A)=0p = \det(A) = 0.

Consequently, the binomial distribution collapses, yielding λ=0\lambda = 0.

The final trap tests the property det⁡(B)2=det⁡(B2)=det⁡(I)=1\det(B)^2 = \det(B^2) = \det(I) = 1, rewarding spectral analysis over brute force.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 12
ConceptBinomial Distribution Tail-Ends
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree