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Mathematics, 04.08.2020 17:01 DarinKing2005
A Markov chain has 3 possible states: A, B, and C. Every hour, it makes a transition to a different state. From state A, transitions to states B and C are equally likely. From state B, transitions to states A and C are equally likely. From state C, it always makes a transition to state A.
(a) If the initial distribution for states A, B, and C is P0 = ( 1/3 , 1/3 , 1/3 ), find the distribution of X2
(b) Find the steady state distribution by solving πP = π.
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A Markov chain has 3 possible states: A, B, and C. Every hour, it makes a transition to a different...
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