使用稳定随机漫步计算[数学]中一般集合的[数学]里兹容量[数学

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Applied Mathematics Pub Date : 2024-03-01 DOI:10.1137/23m1568077
John P. Nolan, Debra J. Audus, Jack F. Douglas
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引用次数: 0

摘要

SIAM 应用数学杂志》第 84 卷第 2 期第 317-337 页,2024 年 4 月。 摘要。给出了一种计算一般集合[math]的Riesz[math]容量[math]的方法。该方法基于各向同性[math]-稳定运动路径在[math]-维度上的模拟。通常用于模拟布朗运动的熟悉的球上行走方法,被修改为一种新颖的球内行走和球外行走方法,适用于模拟这种广义随机行走 "探测 "区域外部的稳定路径过程。它考虑到了这类随机游走因路径不连续而跳过边界的倾向。这种方法可以高效地模拟从探测集外部发射的稳定路径的命中位置。我们给出了从这些位置计算容量的可靠方法,以及非标准置信区间。对[math]和[math]都不同的代表性集合[math]类型进行了示例计算。
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Computation of Riesz [math]-Capacity [math] of General Sets in [math] Using Stable Random Walks
SIAM Journal on Applied Mathematics, Volume 84, Issue 2, Page 317-337, April 2024.
Abstract. A method for computing the Riesz [math]-capacity, [math], of a general set [math] is given. The method is based on simulations of isotropic [math]-stable motion paths in [math]-dimensions. The familiar walk-on-spheres method, often utilized for simulating Brownian motion, is modified to a novel walk-in-and-out-of-balls method adapted for modeling the stable path process on the exterior of regions “probed” by this type of generalized random walk. It accounts for the propensity of this class of random walk to jump through boundaries because of the path discontinuity. This method allows for the computationally efficient simulation of hitting locations of stable paths launched from the exterior of probed sets. Reliable methods of computing capacity from these locations are given, along with non-standard confidence intervals. Illustrative calculations are performed for representative types of sets [math], where both [math] and [math] are varied.
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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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