A criteria for a state being recurrent in CTMC
Suppose X(t) is a CTMC (continuous-time Markov chain) where the state space is at most countable. Let P(t) denote its transition probability matrix at time t.
Prove that a state i is recurrent if and only if the integral
int_0^infty P_{ii}(t)=infty
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Consider a time reversible CTMC with state space S, generator Q, and ing proba- biles P. Let A be...
CTMC - Continuous Time Markov Chains
Consider a time reversible CTMC with state space S, generator Q, and ing proba- biles P. Let A be a fixed subset of S, and modify the CTMC so that all infinitesimal jump rates from states in A to states not in A are multiplied by a fixed factor c > 0. Show that this modified CTMC is still time reversible, by constructing from Pi solutions to the detailed balancee
Consider a time reversible...
Suppose Xn is a Markov chain on the state space S with transition probability p. Let...
Suppose Xn is a Markov chain on the state space S with transition probability p. Let Yn be an independent copy of the Markov chain with transition probability p, and define Zn := (Xn, Yn). a) Prove that Zn is a Markov chain on the state space S_hat := S × S with transition probability p_hat : S_hat × S_hat → [0, 1] given by p_hat((x1, y1), (x2, y2)) := p(x1, x2)p(y1, y2). b) Prove that if π is a...
Let Xn be a Markov chain with state space {0,1,2}, the initial probability vector and one step transition matrix a. Co...
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...
-1,2,3,4,5,63 and transition matrix Consider a discrete time Markov chain with state space S 0.8 0 0 0.2 0 0 0 0.5 00 0.50 0 0 0.3 0.4 0.2 0.1 0.1 0 0 0.9 0 0 0 0.2 0 0 0.8 0 0.1 0 0.4 0 0 0.5 (a) Dr...
-1,2,3,4,5,63 and transition matrix Consider a discrete time Markov chain with state space S 0.8 0 0 0.2 0 0 0 0.5 00 0.50 0 0 0.3 0.4 0.2 0.1 0.1 0 0 0.9 0 0 0 0.2 0 0 0.8 0 0.1 0 0.4 0 0 0.5 (a) Draw the transition probability graph associated to this Markov chain. (b) It is known that 1 is a recurrent state. Identify all other recurrent states. (c) How many recurrence classes are...
P is the (one-step) transition probability matrix of a Markov chain with state space {0, 1, 2, 3,...
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...
Let P be the n*n transition matrix of a Markov chain with a finite state space...
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 fX(t)) be a Markov chain with state space (o, 1) and consider the state transition...
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
1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose...
1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose pii > 0. Let T =min{n 21: X i} be the exit time from state i. Show that T has a geometric distribution with respect to the conditional probability P
1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose pii > 0. Let T =min{n 21: X i} be the exit time from state i. Show that...
6. Suppose Xn is a two-state Markov chain with transition probabilities (Xn, Xn+1), n = 0,...
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.
Consider the Markov chain with state space {0, 1,2} and 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
CTMC - Continuous Time Markov Chains
Consider a time reversible CTMC with state space S, generator Q, and ing proba- biles P. Let A be a fixed subset of S, and modify the CTMC so that all infinitesimal jump rates from states in A to states not in A are multiplied by a fixed factor c > 0. Show that this modified CTMC is still time reversible, by constructing from Pi solutions to the detailed balancee
Consider a time reversible...
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...
-1,2,3,4,5,63 and transition matrix Consider a discrete time Markov chain with state space S 0.8 0 0 0.2 0 0 0 0.5 00 0.50 0 0 0.3 0.4 0.2 0.1 0.1 0 0 0.9 0 0 0 0.2 0 0 0.8 0 0.1 0 0.4 0 0 0.5 (a) Draw the transition probability graph associated to this Markov chain. (b) It is known that 1 is a recurrent state. Identify all other recurrent states. (c) How many recurrence classes are...
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...
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 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
1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose pii > 0. Let T =min{n 21: X i} be the exit time from state i. Show that T has a geometric distribution with respect to the conditional probability P
1. Exit times. Let X be a discrete-time Markov chain (with discrete state space) and suppose pii > 0. Let T =min{n 21: X i} be the exit time from state i. Show that...
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.
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