The gambler's ruin problem is a classical entry point into the random walk theory. For the simple symmetric random walk, explicit expressions for hitting probabilities can be derived. For more general step distributions, however, the analysis is challenging. This study explores the problem in three settings: the simple symmetric random walk, the spread-out (bounded-step) model, and the mean-zero finite-variance case.

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