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Question #41050

Difficulty: 8/10 | 🟢 Free

The Question

An experiment has a countably infinite sample space S={E1,E2,E3,… }S = \{E_1, E_2, E_3, \dots\}. The probability of each elementary event EnE_n is given by P(En)=α2n+β⋅3n(3n−1)(3n+1−1)P(E_n) = \frac{\alpha}{2^n} + \frac{\beta \cdot 3^n}{(3^n - 1)(3^{n+1} - 1)} where α\alpha and β\beta are positive constants. If lim⁡n→∞2nP(En)=14\lim_{n \to \infty} 2^n P(E_n) = \frac{1}{4}, then the probability of the event E2E_2 is:

Options

  • A.

    526\frac{5}{26}

  • B.

    5292704\frac{529}{2704}

  • C.

    53416\frac{53}{416}

  • D.

    116\frac{1}{16}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Specialist

Targeted practice for niche, high-difficulty concepts that frequently appear in JEE Advanced exams.

Concepts Behind This Question

Axiomatic Probability Constraints|Infinite GP Convergence|The Telescopic Series Trap

Why This Question Is Tricky

Common Mistakes

This question tests the student's ability to apply the axiomatic probability constraint ∑P(En)=1\sum P(E_n) = 1 to a countably infinite sample space, while navigating the 'Telescopic Series Trap'.

The sequence contains a term that superficially resembles a Geometric Progression due to the exponential components.

Students who blindly apply the infinite GP sum formula to the second term will miscalculate its sum as 39/16039/160 instead of the correct telescopic sum of 1/41/4.

This leads to an incorrect value for β\beta and violates the fundamental probability normalization axiom.

Recognizing the hidden telescopic difference 12(13n−1−13n+1−1)\frac{1}{2}(\frac{1}{3^n-1} - \frac{1}{3^{n+1}-1}) is crucial for finding the correct distribution parameters.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 11
ConceptAxiomatic Probability Constraints
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree