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arXiv 1704.05940cond-mat.stat-mech
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半无限直线上随机游动和Lévy飞行的生存概率

Survival Probability of Random Walks and Lévy Flights on a Semi-Infinite Line

Satya N. Majumdar, Philippe Mounaix, Gregory Schehr

摘要:

考虑一维随机游动(RW),其跳跃分布为连续对称分布,$f(η)$,特征为Lévy指数$μ\in (0,2]$,它包括标准随机游动($μ=2$)和Lévy飞行($0<μ<2$).我们研究了生存概率$q(x_0,n)$,它表示RW在步骤$n$之前保持非负的概率,最初从$x_0 \geq 0$开始。我们主要关注的是大$n$的$q(x_0,n)$的$x_0$依赖性。我们发现,$q(x_0,n)$显示两个不同的制度,$x_0$变化:(一)$x_0= O(1)$(“量子制度”),跳跃过程的离散性显着改变的标准标度行为的$q(x_0,n)$和(ii)为$x_0 = O(n^{1/μ})$(“经典制度”)的离散时间的过程是无关紧要的,一个恢复的标准标度行为(为$μ=2$,这对应于标准的布朗标度极限)。本文的目的是研究如何准确的交叉在$q(x_0,n)$之间发生的量子和经典政权,增加$x_0$。

英文摘要:

We consider a one-dimensional random walk (RW) with a continuous and symmetric jump distribution, $f(η)$, characterized by a Lévy index $μ\in (0,2]$, which includes standard random walks ($μ=2$) and Lévy flights ($0<μ<2$). We study the survival probability, $q(x_0,n)$, representing the probability that the RW stays non-negative up to step $n$, starting initially at $x_0 \geq 0$. Our main focus is on the $x_0$-dependence of $q(x_0,n)$ for large $n$. We show that $q(x_0,n)$ displays two distinct regimes as $x_0$ varies: (i) for $x_0= O(1)$ ("quantum regime"), the discreteness of the jump process significantly alters the standard scaling behavior of $q(x_0,n)$ and (ii) for $x_0 = O(n^{1/μ})$ ("classical regime") the discrete-time nature of the process is irrelevant and one recovers the standard scaling behavior (for $μ=2$ this corresponds to the standard Brownian scaling limit). The purpose of this paper is to study how precisely the crossover in $q(x_0,n)$ occurs between the quantum and the classical regime as one increases $x_0$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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