Show that the vector (pi=left(pi_{1}=alpha, pi_{2}=beta, pi_{3}=gamma ight)), determined in example 8.6 , is a stationary initial
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Show that the vector \(\pi=\left(\pi_{1}=\alpha, \pi_{2}=\beta, \pi_{3}=\gamma\right)\), determined in example 8.6 , is a stationary initial distribution with regard to a Markov chain which has the one-step transition matrix (8.22) (page 349).
Data from 8.22
Data from Example 8.6
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Related Book For
Applied Probability And Stochastic Processes
ISBN: 9780367658496
2nd Edition
Authors: Frank Beichelt
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