Alan and Betty play a series of games with Alan winning each game independently with probability p = 0.6. The overall winner is the first player to win two games in a row. Define a Markov chain to model the above problem.
Alan and Betty play a series of games with Alan winning each game independently with probability p = 0.6. The overall winner is the first player to win two games in a row. Define a Markov chain to model the above problem.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 47E: Explain how you can determine the steady state matrix X of an absorbing Markov chain by inspection.
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Question
Alan and Betty play a series of games with Alan winning each game independently with probability p = 0.6. The overall winner is the first player to win two games in a row.
Define a Markov chain to model the above problem.
Expert Solution
Step 1
Given information:
P(Win) = 0.60
P(Loss) = 1 - P(Win)
P(Loss) = 1 - 0.60
P(Loss) = 0.40
Three state Markov model can be defined for the given scenario:
State 1: Zero wins
State 2: Wins (When previous round was lost)
State 3: Wins (When previous round was Won)
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