Consider a process {Xn, n = 0,1, ... }, which takes on the values 0,1, or...
(Sheldon Ross) Consider a process {X,, п : 0, 1, . ( 1, 2, 31, suppose ..1, which takes on the values aij n even, Pj nodd, where j-1 for i = 1, 2, 3. Is {X, | n > 0} a Markov chain ? If not, show how by enlarging the state space, we may transform it into a Markov chain (Sheldon Ross) Consider a process {X,, п : 0, 1, . ( 1, 2, 31, suppose ..1, which...
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.
Q5. Consider a Markov chain {Xn|n ≥ 0} with state space S = {0, 1, · · · } and transition matrix (pij ). Find (in terms QA for appropriate A) P{ max 0≤k≤n Xk ≤ m|X0 = i} . Q6. (Flexible Manufacturing System). Consider a machine which can produce three types of parts. Let Xn denote the state of the machine in the nth time period [n, n + 1) which takes values in {0, 1, 2, 3}. Here...
Let X0,X1,... be a Markov chain whose state space is Z (the integers). Recall the Markov property: P(Xn = in | X0 = i0,X1 = i1,...,Xn−1 = in−1) = P(Xn = in | Xn−1 = in−1), ∀n, ∀it. Does the following always hold: P(Xn ≥0|X0 ≥0,X1 ≥0,...,Xn−1 ≥0)=P(Xn ≥0|Xn−1 ≥0) ? (Prove if “yes”, provide a counterexample if “no”) Let Xo,Xi, be a Markov chain whose state space is Z (the integers). Recall the Markov property: P(X,-'n l Xo-io, Xi...
Let p E [0,1] with pメ, and let (Xn)n=o b l e the Markov chain on with initia [0,1] given by distribution δο and transition matrix 11: Z Z ify=x-1 p 0 otherwise. Use the strong law of large numbers to show that each state is transient. Hint: consider another Markov chain with additional structure but with the same distribution and transition matrix Let p E [0,1] with pメ, and let (Xn)n=o b l e the Markov chain on with...
5. Let X n 2 0} be a Markov chain with state space S = {0,1,2,...}. Suppose P{Xn+1 = 0|X,p = 0 3/4, P{Xn+1 = 1\Xn, P{Xn+1 = i - 1|X, 0 1/4 and for i > 0, P{X+1 = i + 1|X2 = i} i} 3/4. Compute the long run probabilities for this Markov chain = 1/4 and =
2. The Markov chain (Xn, n = 0,1, 2, ...) has state space S = {1, 2, 3, 4, 5} and transition matrix (0.2 0.8 0 0 0 0.3 0.7 0 0 0 P= 0 0.3 0.5 0.1 0.1 0.3 0 0.1 0.4 0.2 1 0 0 0 0 1 ) (a) Draw the transition diagram for this Markov chain.
1. Consider a time-homogeneous Markov chain X)n, such that P= 2 a) Calculate p12(2) b) Assuming Xo 1 (with probability 1), find the probability that Xn will reach state 2 before it reaches state 4 c) Find msz. d) Is the chain periodic? Irreducible? e) Find the stationary distribution f Approximate the probability that X0 1 g) Find the mean recurrence time for state 1
Consider the process E here Xn is the outcome of a die on the nth roll at XnEN is a Markov chain. (b) Determine the state space S and the transition matrix P (with, as usual, reasoning Consider the process E here Xn is the outcome of a die on the nth roll at XnEN is a Markov chain. (b) Determine the state space S and the transition matrix P (with, as usual, reasoning
Suppose that {Xn} is a Markov chain with state space S = {1, 2}, transition matrix (1/5 4/5 2/5 3/5), and initial distribution P (X0 = 1) = 3/4 and P (X0 = 2) = 1/4. Compute the following: (a) P(X3 =1|X1 =2) (b) P(X3 =1|X2 =1,X1 =1,X0 =2) (c) P(X2 =2) (d) P(X0 =1,X2 =1) (15 points) Suppose that {Xn} is a Markov chain with state space S = 1,2), transition matrix and initial distribution P(X0-1-3/4 and P(Xo,-2-1/4. Compute...