Option A)
Yes the matrix Q is
HELP! please P. The transition matrix for a Markov chain is shown to the right 070...
Consider a Markov Chain on {1,2,3} with the given transition matrix P. Use two methods to find the probability that in the long run, the chain is in state 1. First, raise P to a high power. Then directly compute the steady-state vector. 3 P= 1 3 2 1 1 3 4 Calculate P100 p100 0.20833 0.20833 0.20833 0.58333 0.58333 0.58333 0.20833 0.20833 0.20833 (Type an integer or decimal for each matrix element. Round to five decimal places as needed.)...
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.
Let P be the transition probability matrix of a Markov chain. Show that if, for some positive integer r, Pr has all positive entries, then so does P", for all integers n 2 r
Exercise 5.10. Let P be the transition matrix of a Markov chain (Xt)120 on a finite state space Ω. Show that the following statements are equivalent: (i) P is irreducible and aperiodic (ii) There exists an integer r 0 such that for all i,je Ω, (88) (ii) There exists an integer r 20 such that every entry of Pr is positive.
. For a discrete time Markov chain with transition matrix P (py), explain what is meant by (1) global balance; (ii) local balance; (i) doubly stochastioc; (iv) birth-death Markov chain.
Let P be the n*n transition matrix of a Markov chain with a finite state space S = {1, 2, ..., n}. Show that 7 is the stationary distribution of the Markov chain, i.e., P = , 2hTi = 1 if and only if (I – P+117) = 17 where I is the n*n identity matrix and 17 = [11...1) is a 1 * n row vector with all components being 1.
Let Xn be a discrete Markov chain with transition matrix P .
Show that the
m-step transition probabilities are independent of the past.
Hint: it is clear for m=1, apply mathematical induction on m
Consider the Markov chain X0,X1,X2,... on the state space S = {0,1} with transition matrix P= (a) Show that the process defined by the pair Zn := (Xn−1,Xn), n ≥ 1, is a Markov chain on the state space consisting of four (pair) states: (0,0),(0,1),(1,0),(1,1). (b) Determine the transition probability matrix for the process Zn, n ≥ 1.
Consider a Markov chain with state space S = {1,2,3,4} and transition matrix P = where (a) Draw a directed graph that represents the transition matrix for this Markov chain. (b) Compute the following probabilities: P(starting from state 1, the process reaches state 3 in exactly three-time steps); P(starting from state 1, the process reaches state 3 in exactly four-time steps); P(starting from state 1, the process reaches states higher than state 1 in exactly two-time steps). (c) If the...
A Markov chain has the transition matrix P = 1.4.61 L.7 .3 Suppose that on the initial observation, the chain is in state 1 with probability 2. What is the probability that the system will be in state 1 on the next observation? 0.38 0.60 0.64 0.36 0.56