3. A discrete Markov model has state space equal to E = {0,1, 2}. The transition probabilities p are independent of a and recorded in the matrix P defined below. .7 .2 .1 P .1 .6 .3 1 Assume that Lynn is in state 0 at time 0, and that i = .04. (a.) Determine the probability that Lynn is in state 0 at time 3. (b.) Determine the probability that Lynn transitions from state 1 at time 3 to state 2 at time 4.

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3. A discrete Markov model has state space equal to E
{0, 1, 2}. The
transition probabilities p are independent of r and recorded in the matrix
P defined below.
.7 .2
.1
P =
.1
.6 .3
1
Assume that Lynn is in state 0 at time 0, and that i = .04.
(a.) Determine the probability that Lynn is in state 0 at time 3.
(b.) Determine the probability that Lynn transitions from state 1 at
time 3 to state 2 at time 4.
Transcribed Image Text:3. A discrete Markov model has state space equal to E {0, 1, 2}. The transition probabilities p are independent of r and recorded in the matrix P defined below. .7 .2 .1 P = .1 .6 .3 1 Assume that Lynn is in state 0 at time 0, and that i = .04. (a.) Determine the probability that Lynn is in state 0 at time 3. (b.) Determine the probability that Lynn transitions from state 1 at time 3 to state 2 at time 4.
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