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P0,1 = 1 and otherwise Pi,i+1 = p <
0.5, Pi,i−1 = 1 − p > 0.5. In this case, since the chain can
only make a transition (change
of state) of magnitude ±1, we immediately conclude that for each
state i ≥ 0, “the rate
from i to i + 1 equals the rate from i + 1 to i”. This is by the
same elementary reasoning,
7. Define a Markov Chain on S-0,1,2,3,... with transition probabilities Pi,i+1 with 0<p < 1/2. Prove...
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.
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 0, 1,2, 3,...) with transition probabilities i>1 with 0<p<. (a) Is the MC irreducible? (b) For which values of p the...
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?
(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<
Let Xo, X1,... be a Markov chain with transition matrix 1(0 1 0 P 2 0 0 1 for 0< p< 1. Let g be a function defined by g(x) =亻1, if x = 1, if x = 2.3. , Let Yn = g(x,), for n 0. Show that Yo, Xi, is not a Markov chain.
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 a two state Markov chain with one-step transition matrix on the states 1,21, , 0<p+q<2. 91-9 ' Show, by induction or otherwise, that the n-step transition matrix is Ptg -99 Based upon the above equation, what is lim-x P(Xn-2K-1). How about limn→x P(Xn-
1. A Markov chain {X,,n0 with state space S0,1,2 has transition probability matrix 0.1 0.3 0.6 P=10.5 0.2 0.3 0.4 0.2 0.4 If P(X0-0)-P(X0-1) evaluate P[X2< X4]. 0.4 and P 0-2) 0.2. find the distribution of X2 and
Consider a Markov chain with transition matrix where 0< a, b,c <1. Find the stationary distribution.