b)
P(X1 = 2 , X2 = 2 , X3 = 1 |X0 = 1) = P12*P22*P21
= 0.4 * 0.75*0.25
= 0.075
c)
P^n when n tend to infinity =
0.2439
0.39024 0.36585
0.2439
0.39024 0.36585
0.2439
0.39024 0.36585
Let (X.) be a Marko chain with the state space (1.2,3) and transition proba- bility matrix...
10. Consider the Marko chain (X0,.) with state space (0,1,2,3,4) and transition matris 0.2 0. 0.4 0.3 0 01 0.4 0 0.2 0.3 P 0.3 0 0. 0.4 0.2 0.4 0.3 0.2 0.1 0 0.2 0.3 0. 0.4 Find P(X-3, X-4No 3)
3.1.4 The random variables ξ1.ξ2 are independent and with the common proba- bility mass function k= 0 1 2 3 Prk)0.1 0.3 0.2 0.4 Set Xo 0, and let x, max(ξι, . . . , ξη} be the largest ξ observed to date. Deter- mine the transition probability matrix for the Markov chain (Xn).
1. A Markov chain (x,, n 2 01 with state space S (0,1,2,3,4,5] has transition proba- bility matrix Γα β/2 01-α 0 0 0 0 1/32/3_ββ/2 β/2 β/2 1/2 0 0 0 0 (a) Determine the equivalence classes of communicating states for any possible choice of the three parameters α, β and γ; (b) In all cases, determine if the states in each class are recurrent or transient and find their period (or determine that they are aperiodic)
Let Xn be a Markov chain with state space {0, 1, 2}, and transition probability matrix and initial distribution π = (0.2, 0.5, 0.3). Calculate P(X1 = 2) and P(X3 = 2|X0 = 0) 0.3 0.1 0.6 p0.4 0.4 0.2 0.1 0.7 0.2
Let Xn be a Markov chain with state space {0,1,2}, the initial
probability vector and one step transition matrix
a. Compute.
b. Compute.
3. Let X be a Markov chain with state space {0,1,2}, the initial probability vector - and one step transition matrix pt 0 Compute P-1, X, = 0, x, - 2), P(X, = 0) b. Compute P( -1| X, = 2), P(X, = 0 | X, = 1) _ a.
3. Let X be a Markov chain...
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
Xn is a Markov Chain with state-space E = {0, 1, 2}, and transition matrix 0.4 0.2 0.4 P = 0.6 0.3 0.1 0.5 0.3 0.2 And initial probability vector a = [0.2, 0.3, 0.5] Find E[X0] =
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...
Let fX(t)) be a Markov chain with state space (o, 1) and consider the state transition matrix 1-? Suppose P(X(0) 0) 0.4 and P(X(0-1) 0.6. Calculate (in terms of ? and ?), (a) (2 pts) P(X(4) 1) (b) (2 pts) Elg(X(4), where g(0) 1 and g(1) 2 You can use that