Tail distributions of cover times of once-reinforced random walks

Fuente: arXiv
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Main Authors: Huang, Xiangyu, Liu, Yong, Xiang, Kainan
Format: Preprint
Published: 2025
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author Huang, Xiangyu
Liu, Yong
Xiang, Kainan
author_facet Huang, Xiangyu
Liu, Yong
Xiang, Kainan
contents We consider the tail distribution of the edge cover time of a specific non-Markov process, $δ$ once-reinforced random walk, on finite connected graphs, whose transition probability is proportional to weights of edges. Here the weights are $1$ on edges not traversed and $δ\in(0,\infty)$ otherwise. In detail, we show that its tail distribution decays exponentially, and obtain a phase transition of the exponential integrability of the edge cover time with critical exponent $α_c^1(δ)$, which has a variational representation and some interesting analytic properties including $α_c^1(0+)$ reflecting the graph structures.
format Preprint
id arxiv_https___arxiv_org_abs_2505_05284
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tail distributions of cover times of once-reinforced random walks
Huang, Xiangyu
Liu, Yong
Xiang, Kainan
Probability
We consider the tail distribution of the edge cover time of a specific non-Markov process, $δ$ once-reinforced random walk, on finite connected graphs, whose transition probability is proportional to weights of edges. Here the weights are $1$ on edges not traversed and $δ\in(0,\infty)$ otherwise. In detail, we show that its tail distribution decays exponentially, and obtain a phase transition of the exponential integrability of the edge cover time with critical exponent $α_c^1(δ)$, which has a variational representation and some interesting analytic properties including $α_c^1(0+)$ reflecting the graph structures.
title Tail distributions of cover times of once-reinforced random walks
topic Probability
url https://arxiv.org/abs/2505.05284