Question 1 A Markov process has two states A and B with transition graph below. a) Write in the two missing probabilities. (b) Suppose the system is in state A initially. Use a tree diagram to find t...
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...
6. Suppose Xn is a two-state Markov chain with transition probabilities (Xn, Xn+1), n = 0, 1, 2, Write down the state space of the Markov chain Zo, Zi, . . . and determine the transition probability matrix.
An absorbing Markov Chain has 5 states where states #1 and #2 are absorbing states and the following transition probabilities are known: p3,2=0.1, p3, 3=0.4, p3,5=0.5 p4,1=0.1, p4,3=0.5, p4,4=0.4 p5,1=0.3, p5,2=0.2, p5,4=0.3, p5,5 = 0.2 (a) Let T denote the transition matrix. Compute T3. Find the probability that if you start in state #3 you will be in state #5 after 3 steps. (b) Compute the matrix N = (I - Q)-1. Find the expected value for the number of...
11. Consider a Markov process with transition matrix State 1 State 2 State 1 0.2 0.11 State 2 0.8 0.9 (a) What does the entry 0.2 represent? (b) What does the entry 0.1 represent? (c) If the system is in state 1 initially, what is the probability that it will be in state 2 at the next observation? (d) If the system has a 50% chance of being in state 1 initially, what is the probability that it will be...
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...
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...
1. Consider a two-state Markov chain. Suppose that we have two states of the weather: sunny or cloudy. If today is sunny, the probability of being sunny tomorrow is . If today is cloudy, the probability of being cloudy tomorrow is also (a) Write the matrix A of transition probabilities for this Markov chain. (b) If the probability of being sunny today is , what is the probability of being sunny tomorrow? (c) If the probability of being sunny today...
Question 4t Write the correct values in the boxes. For this question, working is not required and will not be mar For parts (a) - (e), consider the Markov process with transition diagram at right and steady state vector SA (a) When p 0.2 and-0.3 the value of sA is b) When p 0.6 and SA 0.6 the value of g is Hint: In a steady state, the probability that a step is a switch from state B to state.A...
T is the transition matrix for a 4-state absorbing Markov Chain. State 1 and state #2 are absorbing states. 1 0 00 0 0 0.45 0.05 0.5 1 0 0 0.15 0 0.5 0.35 Use the standard methods for absorbing Markov Chains to find the matrices N (I Q)1 and BNR. Answer the following questions based on these matrices. (Give your answers correct to 2 decimal places.) a If you start n state #3, what is the expected number of...
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...