Define a Markov Chain on S = {0, 1, 2, 3, . . .} with transition probabilities p0,1 = 1, pi,i+1 = 1 − pi,i−1 = p, i ≥ 1 with 0 < p < 1.
(a) Is the MC irreducible?
(b) For which values of p the Markov Chain is reversible?
6. Define a Markov Chain on S- 10, 1,2, 3,...) with transition probabilities Po,1 1, with 0<p<1 (a) Is the MC irreducible? (b) For which values of p the Markov Chain is reversible?
7. Define a Markov Chain on S = {0, 1, 2, 3,·.) with transition probabilities Po,1 1, pi,i+1 = 1-Pi,i-,-p, i 1 with 0<p < 1/2. Prove that the Markov Chain is reversible.
(a) Is the MC irreducible?
(b) For which values of p the Markov Chain is reversible?
6. Define a Markov Chain on S-10,1,2,3,...) with transition probabilities Po,1 pi,i+1 1 -pi,i-1 = p, i i>1 1 = with 0<p<
7. Define a Markov Chain on S-0,1,2,3,... with transition probabilities Pi,i+1 with 0<p < 1/2. Prove that the Markov Chain is reversible.
5. Define a Markov Chain on S {1, 2, 3, …} with transition probabilities pi,i+1- it 1 (a) Is the MC irreducible? (b) Are the states positive recurrent? (c) Find the invariant distribution.
5. Define a Markov Chain on S-1,2,3,..) with transition probabilities Pi i+1 (a) Is the MC irreducible? (b) Are the states positive recurrent? (c) Find the invariant distribution
Consider the Markov chain with state space S = {0,1,2,...} and transition probabilities I p, j=i+1 pſi,j) = { q, j=0 10, otherwise where p,q> 0 and p+q = 1.1 This example was discussed in class a few lectures ago; it counts the lengths of runs of heads in a sequence of independent coin tosses. 1) Show that the chain is irreducible.2 2) Find P.(To =n) for n=1,2,...3 What is the name of this distribution? 3) Is the chain recurrent?...
2. A Markov Chain with a finite number of states is said to be regular if there exists a non negative integer n such that for any i, J E S, Fini > 0 for any n-มิ. (a) Prove that a regular Markov Chain is irreducible. (b) Prove that a regular Markov Chain is aperiodic (c) Prove that if a Markov Chain is irreducible and there exists k E S such that Pk0 then it is regular (d) Find an...
2. A Markov Chain with a finite number of states is said to be regular if there exists a non negative integer n such that for any i, j E S, > 0 for any n 兀 (a) Prove that a regular Markov Chain is irreducible. (b) Prove that a regular Markov Chain is aperiodic. (c) Prove that if a Markov Chain is irreducible and there exists k e S such that Pk>0 then it is regular (d) Find an...
Markov Chains Consider the Markov chain with transition matrix P = [ 0 1 1 0]. 1) Compute several powers of P by hand. What do you notice? 2) Argue that a Markov chain with P as its transition matrix cannot stabilize unless both initial probabilities are 1/2.