First Hitting Time of a One-Dimensional Lévy Flight to Small Targets

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Daniel Gomez, Sean D. Lawley
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引用次数: 0

Abstract

SIAM Journal on Applied Mathematics, Volume 84, Issue 3, Page 1140-1162, June 2024.
Abstract. First hitting times (FHTs) describe the time it takes a random “searcher” to find a “target” and are used to study timescales in many applications. FHTs have been well-studied for diffusive search, especially for small targets, which is called the narrow capture or narrow escape problem. In this paper, we study the FHT to small targets for a one-dimensional superdiffusive search described by a Lévy flight. By applying the method of matched asymptotic expansions to a fractional differential equation we obtain an explicit asymptotic expansion for the mean FHT (MFHT). For fractional order [math] (describing a [math]-stable Lévy flight whose squared displacement scales as [math] in time [math]) and targets of radius [math], we show that the MFHT is order one for [math] and diverges as [math] for [math] and [math] for [math]. We then use our asymptotic results to identify the value of [math] which minimizes the average MFHT and find that (a) this optimal value of [math] vanishes for sparse targets and (b) the value [math] (corresponding to an inverse square Lévy search) is optimal in only very specific circumstances. We confirm our results by comparison to both deterministic numerical solutions of the associated fractional differential equation and stochastic simulations.
一维莱维飞行对小目标的首次命中时间
SIAM 应用数学杂志》第 84 卷第 3 期第 1140-1162 页,2024 年 6 月。 摘要首次命中时间(FHTs)描述了随机 "搜索者 "找到 "目标 "所需的时间,在许多应用中被用来研究时间尺度。对于扩散搜索,尤其是小目标的扩散搜索,FHTs 已经得到了很好的研究,这被称为狭小捕获或狭小逃逸问题。本文研究了莱维飞行描述的一维超扩散搜索的小目标 FHT。通过将匹配渐近展开法应用于分数微分方程,我们得到了平均 FHT(MFHT)的显式渐近展开。对于分数阶[math](描述一个[math]稳定的莱维飞行,其位移平方在时间[math]上的缩放为[math])和半径为[math]的目标,我们证明平均全高时对[math]是一阶,对[math]发散为[math],对[math]发散为[math]。然后,我们利用我们的渐近结果确定了能使平均 MFHT 最小化的 [math] 值,并发现:(a) 对于稀疏目标,[math] 的最佳值消失了;(b) [math] 值(对应于反平方莱维搜索)只在非常特殊的情况下才是最佳值。通过与相关分数微分方程的确定性数值解和随机模拟的比较,我们证实了我们的结果。
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
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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