曲面上图灵图案动力学的弱非线性分析。

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Ryosuke Nishide, Shuji Ishihara
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引用次数: 0

摘要

曲面上的图案动力学是普遍存在的。虽然表面形貌对图案动力学的影响已经引起了很大的兴趣,但对表面几何形状和拓扑结构在图案动力学中的作用的理解有限。最近,我们报道了平面上的静态模式可以成为曲面上的传播模式[物理学]。[j].生物工程学报,2002,23(4):559 - 559。通过分析轴对称表面上的反应扩散方程,确定了图案传播开始的条件。然而,这种分析受到模式以恒定速度传播的假设的限制。在这里,我们使用弱非线性分析来研究由表面曲率驱动的模式传播,从而能够更全面地解决上述问题。分析揭示了与我们之前的结果相似的模式传播的一致条件,并进一步预测了除了模式传播之外的丰富动态,如周期性和混沌行为,可以根据表面几何形状产生。该研究为研究表面与图案动力学之间的关系提供了新的视角,并为控制表面上的图案动力学提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weakly nonlinear analysis of Turing pattern dynamics on curved surfaces.

Pattern dynamics on curved surfaces are ubiquitous. Although the effect of surface topography on pattern dynamics has gained much interest, there is a limited understanding of the roles of surface geometry and topology in pattern dynamics. Recently, we reported that a static pattern on a flat plane can become a propagating pattern on a curved surface [Phys. Rev. Lett. 128, 224101 (2022)10.1103/PhysRevLett.128.224101]. By examining reaction-diffusion equations on axisymmetric surfaces, certain conditions for the onset of pattern propagation were determined. However, this analysis was limited by the assumption that the pattern propagates at a constant speed. Here, we investigate the pattern propagation driven by surface curvature using weakly nonlinear analysis, which enables a more comprehensive approach to the aforementioned problem. The analysis reveals consistent conditions of the pattern propagation similar to our previous results, and further predicts that rich dynamics other than pattern propagation, such as periodic and chaotic behaviors, can arise depending on the surface geometry. This study provides a perspective on the relationship between surfaces and pattern dynamics and a basis for controlling pattern dynamics on surfaces.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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