Question

Consider a Markov chain with state space {1,2,3} and transition matrix. P= .4 .2 .4 .6...

Consider a Markov chain with state space {1,2,3} and transition matrix.

P=

.4 .2 .4
.6 0 .4
.2 .5 .3

What is the probability in the long run that the chain is in state 1? Solve this problem two different ways: 1) by raising the matrix to a higher power; and 2) by directly computing the invariant probability vector as a left eigenvector.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the Markov chain with the state space {1,2,3} and transition matrix P= .2 .4 .4...
Consider the Markov chain with the state space {1,2,3} and transition matrix P= .2 .4 .4 .1 .5 .4 .6 .3 .1 What is the probability in the long run that the chain is in state 1? Solve this problem two different ways: 1) by raising the matrix to a higher power; and 2) by directly computing the invariant probability vector as a left eigenvector.
asasap Consider the Markov chain with state space {1, 2, 3} and transition matrix  ...
asasap Consider the Markov chain with state space {1, 2, 3} and transition matrix   1 2 1 4 1 4 0 1 0 1 4 0 3 4   Find the periodicity of the states. \ Let {Xn|n ≥ 0} be a finite state Markov chain. prove or disprove that all states are positive recurren
Xn is a Markov Chain with state-space E = {0, 1, 2}, and transition matrix 0.4...
Xn is a Markov Chain with state-space E = {0, 1, 2}, and transition matrix 0.4 0.2     ? P = 0.6 0.3    ? 0.5 0.3    ? And initial probability vector a = [0.2, 0.3, ?] a) What are the missing values (?) in the transition matrix an initial vector? b) P(X1 = 0) = c) P(X1 = 0|X0 = 2) = d) P(X22 = 1|X20 = 2) = e) E[X0] = For the Markov Chain with state-space, initial vector, and...
urgent Consider the Markov chain with state space {0, 1, 2, 3, 4} and transition probability...
urgent Consider the Markov chain with state space {0, 1, 2, 3, 4} and transition probability matrix (pij ) given   2 3 1 3 0 0 0 1 3 2 3 0 0 0 0 1 4 1 4 1 4 1 4 0 0 1 2 1 2 0 0 0 0 0 1   Find all the closed communicating classes Consider the Markov chain with state space {1, 2, 3} and transition matrix  ...
The transition probability matrix of a Markov chain {Xn }, n = 1,2,3……. having 3 states...
The transition probability matrix of a Markov chain {Xn }, n = 1,2,3……. having 3 states 1, 2, 3 is P = 0.1 0.5 0.4 0.6 0.2 0.2 0.3 0.4 0.3 * and the initial distribution is P(0) = (0.7, 0.2,0.1) Find: i. P { X3 =2, X2 =3, X1 = 3, X0 = 2} ii. P { X3 =3, X2 =1, X1 = 2, X0 = 1} iii. P{X2 = 3}
Let the markov chain consisting of states 0,1,2,3 have the transition probability matrix P = [0,0,1/2,1/2;...
Let the markov chain consisting of states 0,1,2,3 have the transition probability matrix P = [0,0,1/2,1/2; 1,0,0,0; 0,1,0,0; 0,1,0,0] Determine which state are recurrent and which are transient
Let {??,?=0,1,2,…} be a Markov chain with the state space ?={0,1,2,3,…}. The transition probabilities are defined...
Let {??,?=0,1,2,…} be a Markov chain with the state space ?={0,1,2,3,…}. The transition probabilities are defined as follows: ?0,0=1, ??,?+1=? and ??,?−1=1−?, for ?≥1. In addition, suppose that 12<?<1. For an arbitrary state d such that ?∈?,?≠0, compute ?(??>0 ??? ??? ?≥1 |?0=?).
Given the probability transition matrix of a Markov chain X(n) with states 1, 2 and 3:...
Given the probability transition matrix of a Markov chain X(n) with states 1, 2 and 3: X = [{0.2,0.4,0.4}, {0.3,0.3,0.4}, {0.2,0.6,0.2}] find P(X(10)=2|X(9)=3).
Let {Xn|n ≥ 0} is a Markov chain with state space S = {0, 1, 2,...
Let {Xn|n ≥ 0} is a Markov chain with state space S = {0, 1, 2, 3}, X0 = 0, and transition probability matrix (pij ) given by   2 3 1 3 0 0 1 3 2 3 0 0 0 1 4 1 4 1 2 0 0 1 2 1 2   Let τ0 = min{n ≥ 1 : Xn = 0} and B = {Xτ0 = 0}. Compute P(Xτ0+2 = 2|B). . Classify all...
Markov Chain Transition Matrix for a three state system. 1 - Machine 1: 2- Machine 2:...
Markov Chain Transition Matrix for a three state system. 1 - Machine 1: 2- Machine 2: 3- Inspection 1 2 3 1 0.05 0 .95 2 0 0.05 .95 3 .485 .485 .03 A. For a part starting at Machine 1, determine the average number of visits this part has to each state. (mean time until absorption, I believe) B. 1-1, 2-2, & 3-3 represent BAD units (stays at state). If a batch of 1000 units is started on Machine...