Win rates at first-passage times for biased simple random walks

Fuente: arXiv
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Autores principales: Bruss, F. Thomas, Paindaveine, Davy
Formato: Preprint
Publicado: 2025
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author Bruss, F. Thomas
Paindaveine, Davy
author_facet Bruss, F. Thomas
Paindaveine, Davy
contents We study the win rate $R_{N_d}/N_d$ of a biased simple random walk $S_n$ on $\mathbb{Z}$ at the first-passage time $N_d=\inf\{n\ge 0:S_n=d\}$, with $p=P[X_1=+1]\in[1/2,1)$. Using generating-function techniques and integral representations, we derive explicit formulas for the expectation and variance of $R_{N_d}/N_d$ along with monotonicity properties in the threshold $d$ and the bias $p$. We also provide closed-form expressions and use them to design unbiased coin-flipping estimators of $π$ based on first-passage sampling; the resulting schemes illustrate how biasing the coin can dramatically improve both approximation accuracy and computational cost.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21254
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Win rates at first-passage times for biased simple random walks
Bruss, F. Thomas
Paindaveine, Davy
Probability
60G40, 60G50, 60J15, 62L10
We study the win rate $R_{N_d}/N_d$ of a biased simple random walk $S_n$ on $\mathbb{Z}$ at the first-passage time $N_d=\inf\{n\ge 0:S_n=d\}$, with $p=P[X_1=+1]\in[1/2,1)$. Using generating-function techniques and integral representations, we derive explicit formulas for the expectation and variance of $R_{N_d}/N_d$ along with monotonicity properties in the threshold $d$ and the bias $p$. We also provide closed-form expressions and use them to design unbiased coin-flipping estimators of $π$ based on first-passage sampling; the resulting schemes illustrate how biasing the coin can dramatically improve both approximation accuracy and computational cost.
title Win rates at first-passage times for biased simple random walks
topic Probability
60G40, 60G50, 60J15, 62L10
url https://arxiv.org/abs/2512.21254