Almost sure behavior of linearly edge-reinforced random walks on the half-line

Masato Takei
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引用次数: 1

Abstract

We study linearly edge-reinforced random walks on $\mathbb{Z}_+$, where each edge $\{x,x+1\}$ has the initial weight $x^{\alpha} \vee 1$, and each time an edge is traversed, its weight is increased by $\Delta$. It is known that the walk is recurrent if and only if $\alpha \leq 1$. The aim of this paper is to study the almost sure behavior of the walk in the recurrent regime. For $\alpha 0$, we obtain a limit theorem which is a counterpart of the law of the iterated logarithm for simple random walks. This reveals that the speed of the walk with $\Delta>0$ is much slower than $\Delta=0$. In the critical case $\alpha=1$, our (almost sure) bounds for the trajectory of the walk shows that there is a phase transition of the speed at $\Delta=2$.
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半线上线性边增强随机漫步的几乎确定行为
我们在$\mathbb{Z}_+$上研究线性边增强随机行走,其中每条边$\{x,x+1\}$具有初始权值$x^{\alpha} \vee 1$,每遍历一条边,其权值增加$\Delta$。众所周知,当且仅当$\alpha \leq 1$时,行走是复发性的。本文的目的是研究在循环状态下行走的几乎确定行为。对于$\alpha 0$,我们得到了一个极限定理,它是简单随机游走的迭代对数定律的对应项。这表明用$\Delta>0$行走的速度比$\Delta=0$慢得多。在临界情况$\alpha=1$中,我们的(几乎确定的)行走轨迹边界表明,在$\Delta=2$处存在速度的相变。
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