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A maximum problem of stopping time for correlated random walks

Published online by Cambridge University Press:  05 October 2026

Shoou-Ren Hsiau
Affiliation:
Department of Mathematics, National Changhua University of Education, Taiwan
Ting-Yi Tsai*
Affiliation:
Department of Mathematics, National Changhua University of Education, Taiwan
*
Corresponding author: Ting-Yi Tsai; Email: d1222002@mail.ncue.edu.tw
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Abstract

Let $\{X_n\}_{n \geq 1}$ be a Markov chain taking values in $\{1, -1\}$ with transition probabilities

\begin{align*} p = P(X_{n+1} = 1 \,\,|\,\, X_n = 1)\ ,\ q = P(X_{n+1} = -1 \,\,|\,\, X_n = -1). \end{align*}

Define a correlated random walk $(S_n)_{n\ge0} ,S_0=0$ and $S_n=\sum_{i=1}^n X_i,n\ge1$. Let $A$ and $B$ be positive integers, and define a stopping time

\begin{equation*} \tau = \inf \{ n \geq 1 : S_n = A \text{ or } S_n = -B \}. \end{equation*}

Using the martingale approach, Pozdnyakov [4] (Martingale approach to gambler’s ruin problem for correlated random walks. Journal of Applied Probability 62(4): 1594–1606.) derived the expected stopping time $E(\tau)$.

This study investigates the monotonicity of $E(\tau)$ with respect to the parameters $p$ and $q$ under the condition of symmetric boundaries $A = B$. We prove that when $p + q = t$ is fixed, $E(\tau)$ increases as $p$ increases from $0$ to $\frac{t}{2}$, which implies that $E(\tau)$ attains its maximum at $p = q = \frac{t}{2}$.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press.
Figure 0

Figure 1. The surface of $\log(E(\tau)+1)$log(E(τ)+1) for $n=3$n=3.Figure 1 long description.