Question: Exercise 6.1. Prove identity (6.5). Hint. Make the necessary changes in the proof of Theorem 2.12.Pu(Xo = y) = u(y) and Pr(Xo = x) =

Exercise 6.1. Prove identity (6.5). Hint. MakeExercise 6.1. Prove identity (6.5). Hint. MakeExercise 6.1. Prove identity (6.5). Hint. Make
Exercise 6.1. Prove identity (6.5). Hint. Make the necessary changes in the proof of Theorem 2.12.Pu(Xo = y) = u(y) and Pr(Xo = x) = 1 for states x, y. The formula for the finite- dimensional distributions of a continuous-time Markov chain in terms of the initial distribution and the transition probability function is entirely analogous to formula (2.23) of discrete-time chains: for 0 = So m 2 0 and all states Im, . . . . In ES, P(Xm = Im, Xm+1 = Im+1, . . ., Xn = In) (2.23) n-1 = P(Xm = Im 1 P(Ik, Xk+1 ). k=m

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