1. Consider an Ehrenfest chain with 6 particles.
(a) Write down the transition matrix and draw the transition diagram. (b) If the chain starts with 3 particles in the left partition, write down the state distribution at the first time step. (c) Find the stationary distribution using the detailed balance condition.
1. Consider an Ehrenfest chain with 6 particles. (a) Write down the transition matrix and draw the transition diagram. (...
Consider an Ehrenfest chain with 6 particles. (a) Write down the transition matrix and draw the transition diagram. b) If the chain starts with 3 particles in the left partition, write down the state distribution at the first time step. (c) Find the stationary distribution using the detailed balance condi tion Consider an Ehrenfest chain with 6 particles. (a) Write down the transition matrix and draw the transition diagram. b) If the chain starts with 3 particles in the left...
Consider the Markov chain with the following transition diagram. 1 0.5 0.5 0.5 0.5 0.5 2 3 0.5 (a) Write down the transition matrix of the Markov chain (b) Compute the two step transition matrix of the Markov chain 2 if the initial state distribution for 2 marks (c) What is the state distribution T2 for t t 0 is To(0.1, 0.5, 0.4)7? [3 marks (d) What is the average time 1.1 for the chain to return to state 1?...
Q.4 [8 marks] Consider the Markov chain with the following transition diagram 1 0.5 0.5 0.5 0.5 0.5 2 3 0.5 (a) Write down the transition matrix of the Markov chain 1 marks 2 marks (b) Compute the two step transition matrix of the Markov chain (c) What is the state distribution T2 for t = 2 if the initial state distribution for 2 marks t 0 is o (0.1, 0.5, 0.4)T? 3 marks (d) What is the average time...
Consider the following Markov chain with the following transition diagram on states (1,2,3 2 1/3 1 1/4 2 3 s this Markov chain irreducible? 1 marks (a) (b) Find the probability of the Markov chain to move to state 3 after two time steps, providing it starts in state 2 [3 marks 14 Find the stationary distribution of this Markov chain [4 marks (c) (d) Is the stationary distribution also a limiting distribution for this Markov chain? Explain your answer...
P is the (one-step) transition probability matrix of a Markov chain with state space {0, 1, 2, 3, 4 0.5 0.0 0.5 0.0 0.0 0.25 0.5 0.25 0.0 0.0 P=10.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 0.5 0.0 0.0 0.0 0.5 0.5/ (a) Draw a transition diagram. (b) Suppose the chain starts at time 0 in state 2. That is, Xo 2. Find E Xi (c)Suppose the chain starts at time 0 in any of the states with...
1. Consider a Markov chain (X) where X E(1.2,3), with state transition matrix 1/2 1/3 1/6 0 1/4 (a) (6 points) Sketch the associated state transition diagram (b) (10 points) Suppose the Markov chain starts in state 1. What is the probability that it is in state 3 after two steps? (c) (10 points) Caleulate the steady-state distribution (s) for states 1, 2, and 3, respee- tively 1. Consider a Markov chain (X) where X E(1.2,3), with state transition matrix...
Consider the Markov chain with state space {0, 1,2} and transition matrix(a) Suppose Xo-0. Find the probability that X2 = 2. (b) Find the stationary distribution of the Markov chain
6. In the Markov Chain (MC) shown in Fig. 2, the two transitions out of any given state take place with equal probability (i.e., probability equal to ). (a) Write down a probability transition matrix P for this MC (b) Identify a stationary distribution q for this MC [Note: Any solution togTP-d with all qí 0, įs termed as a stationary distribution. j (e) Identify if possible, a steady-state probability vector z for the MC. Figure 2: A four-state Markov...
Consider a Markov chain with transition matrix where 0< a, b,c <1. Find the stationary distribution.
2. (10 points) Consider a continuous-time Markov chain with the transition rate matrix -4 2 2 Q 34 1 5 0 -5 (a) What is the expected amount of time spent in each state? (b) What is the transition probability matrix of the embedded discrete-time Markov chain? (c) Is this continuous-time Markov chain irreducible? (d) Compute the stationary distribution for the continuous-time Markov chain and the em- bedded discrete-time Markov chain and compare the two 2. (10 points) Consider a...