Random Walks and the Meeting Time for Trees

Consider a random walk on a tree $G=(V,E)$. For $v,w \in V$, let the hitting time $H(v,w)$ denote the expected number of steps required for the random walk started at $v$ to reach $w$, and let $π_v = \mathrm{deg}(v)/2|E|$ denote the stationary distribution for the random walk. We characterize the extremal tree structures for the meeting time $T_{\mathrm{meet}}(G) = \max_{w \in V} \sum_{v \in V} π_v H(v,w)$. For fixed order $n$ and diameter $d$, the meeting time is maximized by the broom graph. The meeting time is minimized by the balanced double broom graph, or a slight variant, depending on the relative parities of $n$ and $d$.

Publication Details

Journal
ArXiv.org
Published
2025-08-04
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

Random Walks and the Meeting Time for Trees

ArXiv.org
Stochastic processes and statistical mechanics
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Random Walks and the Meeting Time for Trees

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Abstract

Consider a random walk on a tree $G=(V,E)$. For $v,w \in V$, let the hitting time $H(v,w)$ denote the expected number of steps required for the random walk started at $v$ to reach $w$, and let $π_v = \mathrm{deg}(v)/2|E|$ denote the stationary distribution for the random walk. We characterize the extremal tree structures for the meeting time $T_{\mathrm{meet}}(G) = \max_{w \in V} \sum_{v \in V} π_v H(v,w)$. For fixed order $n$ and diameter $d$, the meeting time is maximized by the broom graph. The meeting time is minimized by the balanced double broom graph, or a slight variant, depending on the relative parities of $n$ and $d$.

ArXiv.org
Openalex Percentile: Top 43%
Stochastic processes and statistical mechanics
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Random Walks and the Meeting Time for Trees · ArXiv.org (2025) | TGRS Research Map | TGRS