5. (15%) Consider a Markov chain with the N +1 states 0, 1, ..., N and transition probabilities Pij (9) (1 – 7;)N-;, o
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5. (15%) Consider a Markov chain with the N +1 states 0, 1, ..., N and transition probabilities Pij (9) (1 – 7;)N-;, o
5. (15%) Consider a Markov chain with the N +1 states 0, 1, ..., N and transition probabilities Pij (9) (1 – 7;)N-;, o<i,j<N, TT where e 1- e-2ai/N Ti = 0 <i<N, a > 0. -2a 1 - Note that 0 and N are absorbing states.
= (a). Verify that exp(-2aXt) is a martingale (or, equivalently, prove the identity E (exp(-2aX++1) |X+) = exp(-2aX+)], where Xų is the state at time t (t = 0,1, 2...). (b). Prove that the probability Pn(k) of absorption into state N starting at state k is given by 1 -2ak - e Pn(k) = - e -2aN