The random variables , $1, 2,... are independent and identically distributed with distribution P( = 0) = 1/4 and P(§ = j) = c/j for j = 1,2,3. Let Xo = 0 and Xn = max($₁,..., En) for n = 1, 2,.... (a) What value must c take? (b) Explain why {Xn, n = 0, 1, 2,...} is a Markov chain. (c) Write down the transition matrix.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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The random variables §, 1, $2,... are independent and identically distributed with
distribution P(§ = 0) = 1/4 and P(§ = j) = c/j for j = 1,2,3. Let X₁ = 0 and
Xn = max(§₁,..., En) for n = 1, 2, ....
(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(X4 = 3, X₂ = 1|X₁ = 3).
Transcribed Image Text:The random variables §, 1, $2,... are independent and identically distributed with distribution P(§ = 0) = 1/4 and P(§ = j) = c/j for j = 1,2,3. Let X₁ = 0 and Xn = max(§₁,..., En) for n = 1, 2, .... (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(X4 = 3, X₂ = 1|X₁ = 3).
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