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Question #41034

Difficulty: 8/10 | 🟢 Free

The Question

A system has two states, S1S_1 and S2S_2. It can undergo two types of transition protocols, XX and YY. Under protocol XX, a system in S1S_1 transitions to S2S_2 with probability 12\frac{1}{2} and remains in S1S_1 with probability 12\frac{1}{2}. A system in S2S_2 remains in S2S_2 with probability 11. Under protocol YY, a system in S1S_1 remains in S1S_1 with probability 11. A system in S2S_2 transitions to S1S_1 with probability 12\frac{1}{2} and remains in S2S_2 with probability 12\frac{1}{2}. A fair coin is tossed. If it shows Heads, the system undergoes the sequence of protocols X,Y,X,YX, Y, X, Y in that order. If it shows Tails, the system undergoes the sequence X,X,Y,YX, X, Y, Y in that order. Given that the system initially starts in state S1S_1 and is found to be in state S1S_1 after the four protocols are completed, what is the probability that the coin showed Heads?

Options

  • A.

    1124\frac{11}{24}

  • B.

    12\frac{1}{2}

  • C.

    1324\frac{13}{24}

  • D.

    1116\frac{11}{16}

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Correct Answer

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Explanation

How the Examiner Thinks

Monster

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

Concepts Behind This Question

Conditional Probability Foundations|Independent vs Disjoint Events|Matrix Multiplication Non-Commutativity

Why This Question Is Tricky

Common Mistakes

This question tests the intersection of conditional probability (Bayes' Theorem) and Markov chain state transitions, specifically targeting the non-commutativity of matrix multiplication.

Students often erroneously assume that the sequence of independent operations commutes, leading to the fatal algebraic trap (MXMY)2=MX2MY2(M_X M_Y)^2 = M_X^2 M_Y^2.

If a student falls for this, they will calculate identical probabilities for both sequences, resulting in a conditional probability of 1/2.

The problem rigorously evaluates whether the candidate respects the strict ordering of transition matrices in multi-step stochastic processes.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 11
ConceptConditional Probability Foundations
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree