Consider Markov chain with states (1, 2, 3, 4) and suppose that transitions happen once a day. Tran- sition matrix P is given by Note that p4= p² = P = 0.2 0 0.7 1 0.51 0.08 0.3 0.12) 0.73 0.18 0.09 0.09 0.31 0.23 0.26 0.31 0.2 0.3 0.1 0.4 /0.4355 0.1602 0.2502 0.2094 0.5496 0.1385 0.2676 0.1677 0.4686 0.219 0.2123 0.2625 0.432 0.213 0.153 0.242 0.3 0.1 0.4 0 0.9 0.1 0.2 0.1 0 0 0 0 , p3 . = , P = 0.432 0.213 0.153 0.242) 0.299 0.237 0.244 0.319 0.554 0.145 0.264 0.173 0.51 0.08 0.3 0.12 /0.47164 0.18069 0.21275 0.21524 0.46494 0.2184 0.20637 0.26045 0.50483 0.18304 0.26519 0.23057 0.4355 0.1602 0.2502 0.2094 i. Suppose that on Monday the system was observed to be in state 1, what is the probability that it will be in state 4 on Wednesday? ii. Suppose that on Monday the system was observed to be in state 1 and on Tuesday in state 2. What is the probability that it will be in state 3 on Friday? iii. Suppose that on Monday the system was observed to be in state 1, what is the probability that it will stay in that state until Friday? iv. Suppose that on Monday the system has 60% chance of being in state 1 and 40% chance of being in state 2. What is the probability that it will be in state 3 on Wednesday?

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Chapter2: Second-order Linear Odes
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Consider Markov chain with states (1, 2, 3, 4) and suppose that transitions happen once a day. Tran-
sition matrix P is given by
Note that
p4
p²=
P =
0.2 0.3 0.1 0.4
0 0 0.9 0.1
0.7
0.2
0.1 0
1
0
0 0
0.51
0.08
0.3
0.12)
0.73 0.18 0.09 0.09
0.31 0.23 0.26 0.31
0.3 0.1 0.4
0.2
0.4355 0.1602 0.2502 0.2094
0.5496 0.1385 0.2676 0.1677
0.4686 0.219 0.2123 0.2625
0.432 0.213 0.153 0.242
, p3 .
p5
/0.432 0.213 0.153 0.242\
0.299 0.237 0.244 0.319
0.554 0.145 0.264 0.173
0.51 0.08 0.3 0.12
0.47164 0.18069 0.21275 0.21524)
0.46494 0.2184 0.20637 0.26045
0.50483 0.18304 0.26519 0.23057
0.4355 0.1602 0.2502 0.2094
i. Suppose that on Monday the system was observed to be in state 1, what is the probability that
it will be in state 4 on Wednesday?
ii. Suppose that on Monday the system was observed to be in state 1 and on Tuesday in state 2.
What is the probability that it will be in state 3 on Friday?
iii. Suppose that on Monday the system was observed to be in state 1, what is the probability that
it will stay in that state until Friday?
iv. Suppose that on Monday the system has 60% chance of being in state 1 and 40% chance of
being in state 2. What is the probability that it will be in state 3 on Wednesday?
Transcribed Image Text:Consider Markov chain with states (1, 2, 3, 4) and suppose that transitions happen once a day. Tran- sition matrix P is given by Note that p4 p²= P = 0.2 0.3 0.1 0.4 0 0 0.9 0.1 0.7 0.2 0.1 0 1 0 0 0 0.51 0.08 0.3 0.12) 0.73 0.18 0.09 0.09 0.31 0.23 0.26 0.31 0.3 0.1 0.4 0.2 0.4355 0.1602 0.2502 0.2094 0.5496 0.1385 0.2676 0.1677 0.4686 0.219 0.2123 0.2625 0.432 0.213 0.153 0.242 , p3 . p5 /0.432 0.213 0.153 0.242\ 0.299 0.237 0.244 0.319 0.554 0.145 0.264 0.173 0.51 0.08 0.3 0.12 0.47164 0.18069 0.21275 0.21524) 0.46494 0.2184 0.20637 0.26045 0.50483 0.18304 0.26519 0.23057 0.4355 0.1602 0.2502 0.2094 i. Suppose that on Monday the system was observed to be in state 1, what is the probability that it will be in state 4 on Wednesday? ii. Suppose that on Monday the system was observed to be in state 1 and on Tuesday in state 2. What is the probability that it will be in state 3 on Friday? iii. Suppose that on Monday the system was observed to be in state 1, what is the probability that it will stay in that state until Friday? iv. Suppose that on Monday the system has 60% chance of being in state 1 and 40% chance of being in state 2. What is the probability that it will be in state 3 on Wednesday?
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