Variation of Gambler's ruin problem

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SUMMARY

The discussion focuses on a variation of the Gambler's Ruin problem, where the gambler plays until either going bankrupt or placing a specified number of bets, 'n'. The probability of bankruptcy before reaching 'n' bets is denoted as P_{hn}, which follows a 2-dimensional recursion relation: P_{hn} = αP_{(h+1,n-1)} + (1-α)P_{(h-1,n-1)}, where α represents the probability of winning a bet. Boundary conditions are established as P_{0n} = 1 (bankrupt) and P_{h0} = 0 (no bets left). The solution to this variation is more complex than the traditional Gambler's Ruin problem, as detailed in the referenced academic paper.

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LAHLH
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Hi,

In the usual Gambler's ruin problem one calculates the probability of reaching some target balance N before going broke, given that one starts with holdings of 'h', and given that on each bet he either increases or decreases his balance by +/-1. See http://www.mathpages.com/home/kmath084/kmath084.htm for an excellent discussion.

I'd like to do something similar to this but slightly different, instead of assuming the gambler plays indefinitely until he reaches target balance N or goes bankrupt, I'd like assume the gambler plays until he either goes bankrupt, or has placed 'n' bets (as opposed to reaching some target balance N).

For example, the gambler starts with 100, he plans to play until he either goes bankrupt or has placed n=45 bets at which point he will stop. What's the probability the he will go bankupt before having placed these 45 bets? (each bet will raise or lower his balance by +/-1)
 
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I *think* if P_{hn} is the probability of going bankrupt given current holdings of 'h' and given the gambler has 'n' bets to place. Must obey the 2-dimensional recursion relation:

P_{hn}=\alpha P_{(h+1,n-1)}+(1-\alpha)P_{(h-1,n-1)} where \alpha is the probability of a bet winning. The boundary conditions would then be P_{0n}=1 (already bankrupt), and P_{h0}= 0 (for nonzero h, given that no bets left, no chance of bankruptcy).

I have no clue how to obtain the solution of this though.
 
I found the answer here if anyone is interested: http://www.math.ucdavis.edu/~blakehunter/Masters.pdf it's called the "Gambler's ruin in finite time"...turned out to be a much more complicated calc than I had imagined..
 
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