Analysis and Simulation of a Nonlocal Gray–Scott Model

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Applied Mathematics Pub Date : 2024-05-06 DOI:10.1137/22m1542441
Loic Cappanera, Gabriela Jaramillo, Cory Ward
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Abstract

SIAM Journal on Applied Mathematics, Volume 84, Issue 3, Page 856-889, June 2024.
Abstract. The Gray–Scott model is a set of reaction-diffusion equations that describes chemical systems far from equilibrium. Interest in this model stems from its ability to generate spatio-temporal structures, including pulses, spots, stripes, and self-replicating patterns. We consider an extension of this model in which the spread of the different chemicals is assumed to be nonlocal and can thus be represented by an integral operator. In particular, we focus on the case of strictly positive, symmetric, [math] convolution kernels that have a finite second moment. Modeling the equations on a finite interval, we prove the existence of small-time weak solutions in the case of nonlocal Dirichlet and Neumann boundary constraints. We then use this result to develop a finite element numerical scheme that helps us explore the effects of nonlocal diffusion on the formation of pulse solutions.
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非局部格雷-斯科特模型的分析与模拟
SIAM 应用数学杂志》第 84 卷第 3 期第 856-889 页,2024 年 6 月。摘要格雷-斯科特模型是一组描述远离平衡的化学系统的反应-扩散方程。人们之所以对该模型感兴趣,是因为它能够产生时空结构,包括脉冲、斑点、条纹和自我复制模式。我们考虑对这一模型进行扩展,假定不同化学物质的扩散是非局部的,因此可以用积分算子来表示。我们尤其关注具有有限第二矩的严格正对称[数学]卷积核的情况。将方程建模在有限区间上,我们证明了在非局部 Dirichlet 和 Neumann 边界约束的情况下,小时间弱解的存在性。然后,我们利用这一结果开发了一种有限元数值方案,帮助我们探索非局部扩散对脉冲解形成的影响。
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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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