Stripe patterns for Gierer–Meinhard model in spatially varying thin domains

IF 2.9 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2025-02-01 Epub Date: 2024-12-10 DOI:10.1016/j.physd.2024.134480
Leila Mohammadi , Theodore Kolokolnikov , David Iron , Tamara A. Franz-Odendaal
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Abstract

We explore pattern formation for the GM model on thin domains. If the domain is sufficiently thin, the pattern consists of stripes which are nearly one-dimensional. We analyze patterns consisting of one, two or many stripes. We find that a single stripe can be located either at the thickest or thinnest part of the channel, depending on the choice of parameters. In the limit of many stripes, we derive an effective pattern density description of the equilibrium state. The effective density is easily computable as a solution of a first order ODE subject to an integral constraint. Depending on problem parameters, the resulting pattern can be either global spanning the entire domain, or can be clustered near either thickest or thinnest part of the domain. In addition, instability thresholds are derived from the continuum density limit of many stripes. Full two-dimensional numerical simulations are performed and are shown to be in agreement with the asymptotic results.
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空间变化薄域中Gierer-Meinhard模型的条纹模式
我们探索了GM模型在薄域上的模式形成。如果区域足够薄,图案由几乎是一维的条纹组成。我们分析由一条、两条或多条条纹组成的图案。我们发现,根据参数的选择,单个条纹可以位于通道的最厚或最薄的部分。在多条纹的限制下,我们导出了平衡态的有效图案密度描述。有效密度作为一阶ODE在积分约束下的解很容易计算。根据问题参数的不同,生成的模式可以是跨整个域的全局模式,也可以聚集在域的最厚或最薄部分附近。此外,不稳定阈值由许多条纹的连续密度极限导出。进行了完整的二维数值模拟,结果与渐近结果一致。
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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