In Theorem 3, we required that all elements of the transition matrix P be strictly positive, that is, 0 < Pij < 1. a) Show that a Markov chain with transition matrix 0 0 1/4 1/2 1/4 00 1 P has more than one stationary distributions. b) Using R and the code provided on find the matrix that Pn converges to, as n→∞, and verify that it is not a matrix with identical rows, i.e. not in the form Theorem 3 predicts.

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[6] In Theorem 3, we required that all elements of the transition matrix P be strictly
positive, that is, 0 < Pij < 1.
a) Show that a Markov chain with transition matrix
1 0 0
P= 1/4 1/2 1/4
0 1
[/
0
has more than one stationary distributions.
b) Using R and the code provided on find the matrix that P" converges to, as
n→ ∞, and verify that it is not a matrix with identical rows, i.e. not in the
form Theorem 3 predicts.
Transcribed Image Text:[6] In Theorem 3, we required that all elements of the transition matrix P be strictly positive, that is, 0 < Pij < 1. a) Show that a Markov chain with transition matrix 1 0 0 P= 1/4 1/2 1/4 0 1 [/ 0 has more than one stationary distributions. b) Using R and the code provided on find the matrix that P" converges to, as n→ ∞, and verify that it is not a matrix with identical rows, i.e. not in the form Theorem 3 predicts.
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