3. The transition matrix for a three-state Markov chain is 0 ||1 0 r llo q p+r Р P = q Where p, q> 0, r≥ 0 and p + q + r = 1 a. Draw the directed graph of the chain. b. Is the set {2,3} closed? Why or why not? c. Find the expression for Pn). Then verify that state 1 is positive recurrent. d. Show that the process has a unique stationary probability distribution = (1₁, 1₂, 13) tr

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.7: Applications
Problem 9EQ
icon
Related questions
Question
3. The transition matrix for a three-state Markov chain is
E
10 0
9 r
lo q p+1
P =
J
Where p, q > 0, r ≥ 0 and p + q + r = 1
a. Draw the directed graph of the chain.
b. Is the set {2,3} closed? Why or why not?
c. Find the expression for P). Then verify that state 1 is positive recurrent.
d. Show that the process has a unique stationary probability distribution =
(1₁, 1₂, 13).
Transcribed Image Text:3. The transition matrix for a three-state Markov chain is E 10 0 9 r lo q p+1 P = J Where p, q > 0, r ≥ 0 and p + q + r = 1 a. Draw the directed graph of the chain. b. Is the set {2,3} closed? Why or why not? c. Find the expression for P). Then verify that state 1 is positive recurrent. d. Show that the process has a unique stationary probability distribution = (1₁, 1₂, 13).
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question

what is the solution

Solution
Bartleby Expert
SEE SOLUTION