2. Markov Chain States Consider a Markov chain on the state space S = {1,2,3,4,...} with the following transition matrix: 1/2 1/2 0 0 0 2/3 0 1/3 0 0 3/4 0 0 1/4 0 P = 4/5 0 0 0 1/5 5/6 0 0 0 0 That is, Pij = i/(i + 1) if j = 1, Pij = 1/(i + 1) if j = i + 1, and Pij = 0 otherwise. (a) Classify all states of the Markov chain (transient, recurrent) (b) Determine if the Markov chain is irreducible.
2. Markov Chain States Consider a Markov chain on the state space S = {1,2,3,4,...} with the following transition matrix: 1/2 1/2 0 0 0 2/3 0 1/3 0 0 3/4 0 0 1/4 0 P = 4/5 0 0 0 1/5 5/6 0 0 0 0 That is, Pij = i/(i + 1) if j = 1, Pij = 1/(i + 1) if j = i + 1, and Pij = 0 otherwise. (a) Classify all states of the Markov chain (transient, recurrent) (b) Determine if the Markov chain is irreducible.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![2.
Markov Chain States
Consider a Markov chain on the state space S = {1,2,3,4,...} with the following transition
matrix:
1/2 1/2 0
0
0
2/3
0 1/3 0
0
3/4
0 0
1/4
0
P =
4/5
0 0
0 1/5
5/6
0 0 0 0
That is, Pij = i/(i + 1) if j = 1, Pij
=
1/(i + 1) if j = i + 1, and Pij
=
0 otherwise.
(a) Classify all states of the Markov chain (transient, recurrent)
(b) Determine if the Markov chain is irreducible.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F05295cc1-71f0-4e3b-b6f8-2c1731c6d617%2F3fd1624c-3c37-4c0a-a54b-3606b834d9f2%2Fpn264i_processed.png&w=3840&q=75)
Transcribed Image Text:2.
Markov Chain States
Consider a Markov chain on the state space S = {1,2,3,4,...} with the following transition
matrix:
1/2 1/2 0
0
0
2/3
0 1/3 0
0
3/4
0 0
1/4
0
P =
4/5
0 0
0 1/5
5/6
0 0 0 0
That is, Pij = i/(i + 1) if j = 1, Pij
=
1/(i + 1) if j = i + 1, and Pij
=
0 otherwise.
(a) Classify all states of the Markov chain (transient, recurrent)
(b) Determine if the Markov chain is irreducible.
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