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📐 Mathematics  ·  Probability  ·  JEE

In a Markov chain, the transition probability P(i,j) represents:

Answer: P(Xn+1 = j | Xn = i) - depends only on current state.

  • A P(Xn = j), the marginal probability of being in state j at time n
  • B P(Xn+1 = j | Xn = i) - depends only on current state
  • C P(Xn+1 = j | all past), conditioning on the entire observed history
  • D P(Xi = i) × P(Xj = j), the product of two unrelated marginal probabilities

Correct answer: B. P(Xn+1 = j | Xn = i) - depends only on current state

Explanation: Markov property (memorylessness): P(Xₙ₊₁=j | Xₙ=i, Xₙ₋₁=iₙ₋₁, …) = P(Xₙ₊₁=j | Xₙ=i) = P(i,j). Only the current state i matters; the full history is irrelevant. The matrix of all P(i,j) is the transition matrix.

UABA and BA onlyB onlyOutside both circles: complement of (A union B)

Venn diagram of the universal set U with events A and B, showing the intersection (A and B), the parts unique to each event, and the complement region outside both.

Concept context

Chance, events, conditional probability, and Bayes theorem

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