Asymptotic expansions for random walks conditioned to stay positive

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Authors: Denis Eduardovich Denisov, Alexander E. Tarasov, Vitali Wachtel
Cited by: 1
References: 14

Abstract

We consider a one-dimensional random walk Sn with i.i.d. increments with zero mean and finite variance. We derive asymptotic expansions for the tail distribution P(τx>n) of the first passage times τx:=inf{n≥1:x+Sn≤0}, x≥0. We also derive asymptotic expansion for local probabilities P(Sn=x,τ0>n). Studying the asymptotic expansions we obtain a sequence of discrete polyharmonic functions and obtain analogues of renewal theorem for them.

Fields of Study & Subjects

Stochastic processes and statistical mechanics Random Matrices and Applications Probability and Risk Models

Publication details

Journal / source
Electronic Journal of Probability
Publisher
Institute of Mathematical Statistics
Volume
31
Issue
none
Publication date
1 January 2026
Language
EN