An max($1,..., Sn) (a) What value must c take? (b) Explain why {Xn, n = 0, 1, 2,...} is a Markov chain. (c) Write down the transition matrix. (d) Draw the transition diagram and classify the states (aperiodic, transient,

MATLAB: An Introduction with Applications
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1. The random variables §, §1, §2,... are independent and identically distributed with
1/4 and P(§ = j) = c/j for j = 1,2,3. Let X₁ = 0 and
Xn = max(§₁, ..., Èn) for n = 1, 2,....
distribution P(§ = 0)
=
(a) What value must c take?
(b) Explain why {Xn, n = 0, 1, 2,...} is a Markov chain.
(c) Write down the transition matrix.
(d) Draw the transition diagram and classify the states (aperiodic, transient, re-
current, eorgodic, etc).
(e) Calculate P(Xn = 0).
(f) Calculate P(X₁ = 3, X₂ = 1|X₁ = 3).
Transcribed Image Text:1. The random variables §, §1, §2,... are independent and identically distributed with 1/4 and P(§ = j) = c/j for j = 1,2,3. Let X₁ = 0 and Xn = max(§₁, ..., Èn) for n = 1, 2,.... distribution P(§ = 0) = (a) What value must c take? (b) Explain why {Xn, n = 0, 1, 2,...} is a Markov chain. (c) Write down the transition matrix. (d) Draw the transition diagram and classify the states (aperiodic, transient, re- current, eorgodic, etc). (e) Calculate P(Xn = 0). (f) Calculate P(X₁ = 3, X₂ = 1|X₁ = 3).
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