Transience of simple random walks with linear entropy growth

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY
B. Morris, Hamilton Samraj Santhakumar
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引用次数: 0

Abstract

Using the technique of evolving sets, we explore the connection between entropy growth and transience for simple random walks on connected infinite graphs with bounded degree. In particular we show that for a simple random walk starting at a vertex $x_0$, if the entropy after $n$ steps, $E_n$ is at least $Cn$ where the $C$ is independent of $x_0$, then the random walk is transient. We also give an example which demonstrates that the condition of $C$ being independent of $x_0$ is necessary.
具有线性熵增长的简单随机漫步的暂态性
利用进化集技术,研究了有界度连接无限图上简单随机漫步的熵增长与暂态之间的关系。特别地,我们证明了对于一个从顶点x_0$开始的简单随机漫步,如果$n$步后的熵,$E_n$至少是$Cn$,其中$C$独立于$x_0$,则随机漫步是瞬时的。我们还给出了一个例子,证明了$C$独立于$x_0$的条件是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Communications in Probability
Electronic Communications in Probability 工程技术-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
38
审稿时长
6-12 weeks
期刊介绍: The Electronic Communications in Probability (ECP) publishes short research articles in probability theory. Its sister journal, the Electronic Journal of Probability (EJP), publishes full-length articles in probability theory. Short papers, those less than 12 pages, should be submitted to ECP first. EJP and ECP share the same editorial board, but with different Editors in Chief.
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