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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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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