(1) P(Xo = 1, X₁ = 1, X₂ = 0); 2 (2) P(X₁ = 1, X₂ = 2|Xo = 2); 2 (3) P(X3 = 0, X4 = 0, X5 = 2|X2 = 1);
(1) P(Xo = 1, X₁ = 1, X₂ = 0); 2 (2) P(X₁ = 1, X₂ = 2|Xo = 2); 2 (3) P(X3 = 0, X4 = 0, X5 = 2|X2 = 1);
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 47E: Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.
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Transcribed Image Text:A Markov chain X₁, X₁, X₂ ... on states 0, 1, 2 has the
transition probability matrix
1
2
0.2 0.5
0.1
0.4
2 1 0.5 0.2
0.3
and initial distribution Po = P(Xo = 0) = 0.2, P₁ =
1) = 0.3, and p2 = P(Xo = 2) = 0.5. Determine
the following probabilities:
P(Xo
=
0
0 1 0.3
P = 10.5
(1) P(Xo = 1, X₁ = 1, X₂ = 0);
(2) P(X₁ = 1, X₂ = 2|Xo = 2);
(3) P(X3 = 0, X4 = 0, X5 = 2|X₂ = 1);
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