A Markov chain (left{X_{0}, X_{1}, ldots ight}) has state space (mathbf{Z}={0,1,2,3}) and transition matrix [mathbf{P}=left(begin{array}{llll} 0.1 &
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A Markov chain \(\left\{X_{0}, X_{1}, \ldots\right\}\) has state space \(\mathbf{Z}=\{0,1,2,3\}\) and transition matrix
\[\mathbf{P}=\left(\begin{array}{llll} 0.1 & 0.2 & 0.4 & 0.3 \\ 0.2 & 0.3 & 0.1 & 0.4 \\ 0.4 & 0.1 & 0.3 & 0.2 \\ 0.3 & 0.4 & 0.2 & 0.1 \end{array}\right)\]
(1) Draw the corresponding transition graph.
(2) Determine the stationary distribution of this Markov chain.
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Related Book For
Applied Probability And Stochastic Processes
ISBN: 9780367658496
2nd Edition
Authors: Frank Beichelt
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