1. (a) Consider a discrete-time Markov chain X = {X₂ : n = N} with a transition matrix 0 2/3 1/3 M = 1/3 0 2/3 1/4 3/4 0 (1) i. Draw the transition diagram of X. ii. Is the Markov chain irreducible and positive recurrent? Justify your arguments. iii. Determine the stationary distribution л of X from the equation лM = π. (b) Let X = {X: t≥ 0} be a time-homogeneous Markov process with state-space $ = {1, 2, 3}. The average time X spends in each state 1, 2 and 3 is given respectively by 1/6, 1/2 and 1/3 unit of time. The probability P(XT j|X₁ = i) of making an immediate jump from state i to state j, with (i, j) = S, is given by the matrix M (1) in the question 1(a) above. Note that T refers to the jump time of the Markov process. = i. Find the corresponding intensity matrix Q of the Markov process. ii. Find the average time it takes the process to move from states 1 and 2 to state 3.
1. (a) Consider a discrete-time Markov chain X = {X₂ : n = N} with a transition matrix 0 2/3 1/3 M = 1/3 0 2/3 1/4 3/4 0 (1) i. Draw the transition diagram of X. ii. Is the Markov chain irreducible and positive recurrent? Justify your arguments. iii. Determine the stationary distribution л of X from the equation лM = π. (b) Let X = {X: t≥ 0} be a time-homogeneous Markov process with state-space $ = {1, 2, 3}. The average time X spends in each state 1, 2 and 3 is given respectively by 1/6, 1/2 and 1/3 unit of time. The probability P(XT j|X₁ = i) of making an immediate jump from state i to state j, with (i, j) = S, is given by the matrix M (1) in the question 1(a) above. Note that T refers to the jump time of the Markov process. = i. Find the corresponding intensity matrix Q of the Markov process. ii. Find the average time it takes the process to move from states 1 and 2 to state 3.
MATLAB: An Introduction with Applications
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![1. (a) Consider a discrete-time Markov chain X = {X₂ : n = N} with a transition matrix
0
2/3 1/3
M =
1/3 0 2/3
1/4 3/4 0
(1)
i. Draw the transition diagram of X.
ii. Is the Markov chain irreducible and positive recurrent? Justify your arguments.
iii. Determine the stationary distribution л of X from the equation лM = π.
(b) Let X = {X: t≥ 0} be a time-homogeneous Markov process with state-space $ = {1, 2, 3}.
The average time X spends in each state 1, 2 and 3 is given respectively by 1/6, 1/2 and
1/3 unit of time. The probability P(XT j|X₁ = i) of making an immediate jump from
state i to state j, with (i, j) = S, is given by the matrix M (1) in the question 1(a) above.
Note that T refers to the jump time of the Markov process.
=
i. Find the corresponding intensity matrix Q of the Markov process.
ii. Find the average time it takes the process to move from states 1 and 2 to state 3.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fba18de34-fc06-47a6-b1ea-c54726b84874%2Fb33cb3f2-99b9-4a06-b305-879c161d7df7%2Fa12gqb_processed.png&w=3840&q=75)
Transcribed Image Text:1. (a) Consider a discrete-time Markov chain X = {X₂ : n = N} with a transition matrix
0
2/3 1/3
M =
1/3 0 2/3
1/4 3/4 0
(1)
i. Draw the transition diagram of X.
ii. Is the Markov chain irreducible and positive recurrent? Justify your arguments.
iii. Determine the stationary distribution л of X from the equation лM = π.
(b) Let X = {X: t≥ 0} be a time-homogeneous Markov process with state-space $ = {1, 2, 3}.
The average time X spends in each state 1, 2 and 3 is given respectively by 1/6, 1/2 and
1/3 unit of time. The probability P(XT j|X₁ = i) of making an immediate jump from
state i to state j, with (i, j) = S, is given by the matrix M (1) in the question 1(a) above.
Note that T refers to the jump time of the Markov process.
=
i. Find the corresponding intensity matrix Q of the Markov process.
ii. Find the average time it takes the process to move from states 1 and 2 to state 3.
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