One-Dimensional Short-Range Nearest-Neighbor Interaction and Its Nonlinear Diffusion Limit

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Michael Fischer, Laura Kanzler, Christian Schmeiser
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引用次数: 0

Abstract

SIAM Journal on Applied Mathematics, Volume 84, Issue 1, Page 1-18, February 2024.
Abstract. Repulsion between individuals within a finite radius is encountered in numerous applications, including cell exclusion, i.e., avoidance of overlapping cells, bird flocks, or microscopic pedestrian models. We define such individual-based particle dynamics in one spatial dimension with minimal assumptions of the repulsion force [math] as well as their external velocity [math] and prove their characteristic properties. Moreover, we are able to perform a rigorous limit from the microscopic to the macroscopic scale, where we could recover the finite interaction radius as a density threshold. Specific choices for the repulsion force [math] lead to well-known nonlinear diffusion equations on the macroscopic scale, as, e.g., the porous medium equation. At both scaling levels, numerical simulations are presented and compared to underline the analytical results.
一维短程近邻相互作用及其非线性扩散极限
SIAM 应用数学杂志》第 84 卷第 1 期第 1-18 页,2024 年 2 月。 摘要有限半径内个体间的排斥在许多应用中都会遇到,包括细胞排斥(即避免重叠细胞)、鸟群或微观行人模型。我们以最小的斥力假设[数学]及其外部速度假设[数学],在一个空间维度上定义了这种基于个体的粒子动力学,并证明了它们的特征特性。此外,我们还能从微观尺度对宏观尺度进行严格的限制,从而恢复作为密度阈值的有限相互作用半径。斥力的特定选择[math]导致了宏观尺度上著名的非线性扩散方程,如多孔介质方程。在这两个尺度上,我们都进行了数值模拟和比较,以强调分析结果。
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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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