Equation 12.12
Example 12.38
Let $ N (t): t ≥ 0 % be a Poisson process with rate λ. Then $ N (t): t ≥ 0 % is a stochastic process with state space S = {0, 1, 2,...}, with the property that upon entering a state i, it will remain there for an exponential amount of time with mean 1/λ and then will move to state i + 1 with probability 1. Hence $ N (t): t ≥ 0 % is a continuous-time Markov chain with νi = λ for all i ∈ S, pi(i+1)= 1; pij= 0, if j ,= i + 1. Furthermore, for all t, s > 0,
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