4. Suppose that Joe is playing the following version of the gambler's ruin problem. He starts with $50, and plays the game (in which he wins or loses $1 with probability 1/2-1/2) until he reaches $200 or loses all his money. Whenever he loses all his money, he goes to his bank, borrows $50 again and starts playing again. If he reaches $200 then he stops playing forever. (a) Model the game as a Markov chain, describing the transition probability function. (b) Is it true that with probability one Joe will stop playing at some point? (I.e. that he will hit $200.)

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4. Suppose that Joe is playing the following version of the gambler's ruin problem. He starts
with $50, and plays the game (in which he wins or loses $1 with probability 1/2 - 1/2)
until he reaches $200 or loses all his money. Whenever he loses all his money, he goes to
his bank, borrows $50 again and starts playing again. If he reaches $200 then he stops
playing forever.
(a) Model the game as a Markov chain, describing the transition probability function.
(b) Is it true that with probability one Joe will stop playing at some point? (I.e. that
he will hit $200.)
Transcribed Image Text:4. Suppose that Joe is playing the following version of the gambler's ruin problem. He starts with $50, and plays the game (in which he wins or loses $1 with probability 1/2 - 1/2) until he reaches $200 or loses all his money. Whenever he loses all his money, he goes to his bank, borrows $50 again and starts playing again. If he reaches $200 then he stops playing forever. (a) Model the game as a Markov chain, describing the transition probability function. (b) Is it true that with probability one Joe will stop playing at some point? (I.e. that he will hit $200.)
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