Let X₁, be the Markov chain with state space Z and transition probability P2,2+1 = P₁ P2,2-1 = 1- P₁ where p > 1/2. Assume X₁ = 0. (a) Let Y= min{Xo, X₁,...}. What is the distribution of Y? (b) For positive integer k, let T = why e(k) = ke(1). min{n: X₂ = k} and let e(k)= E[T]. Explain (c) Find e(1). Hint: part (b) might be helpful. (d) Use (c) to give another proof that e(1) = ∞o if p = 1/2.
Let X₁, be the Markov chain with state space Z and transition probability P2,2+1 = P₁ P2,2-1 = 1- P₁ where p > 1/2. Assume X₁ = 0. (a) Let Y= min{Xo, X₁,...}. What is the distribution of Y? (b) For positive integer k, let T = why e(k) = ke(1). min{n: X₂ = k} and let e(k)= E[T]. Explain (c) Find e(1). Hint: part (b) might be helpful. (d) Use (c) to give another proof that e(1) = ∞o if p = 1/2.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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