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1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose pii > 0. Let T =min{n 21: X i} b

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Answer #1

X_n is a discrete times Markov chain with p_{ii} >0. We have to show that T minn 1 Xni} is a geometric random variable.

Now P(T k) P(X =i for <k, Xk i)

P(Xi, X = i, . .. , Xk-1 = i, X i)

=P(XkiXk-1 )P(X-1 iXk_2 = i)... P(X1 Xi) By Markov property

= (1 -Pii)P. .. Pi = (1 - Pii)P 22

P(T k) (1 - Pi P.

This is the distribution of a geometric random variable with win probability Pi.

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