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Motivated by bacterial chemotaxis and multi-species ecological interactions in heterogeneous environments, we study a general one-dimensional reaction-cross-diffusion system in the presence of spatial heterogeneity in both transport and…

斑图形成与孤子 · 物理学 2023-03-08 Eamonn A. Gaffney , Andrew L. Krause , Philip K. Maini , Chenyuan Wang

The study of pattern-forming instabilities in reaction-diffusion systems on growing or otherwise time-dependent domains arises in a variety of settings, including applications in developmental biology, spatial ecology, and experimental…

斑图形成与孤子 · 物理学 2022-07-11 Robert A. Van Gorder , Václav Klika , Andrew L. Krause

Turing patterns in reaction-diffusion (RD) systems have classically been studied only in RD systems which do not explicitly depend on independent variables such as space. In practise, many systems for which Turing patterning is important…

偏微分方程分析 · 数学 2023-01-23 Jacob C. Vandenberg , Mark B. Flegg

The study of pattern emergence together with exploration of the exemplar Turing model is enjoying a renaissance both from theoretical and experimental perspective. Here, we implement a stability analysis of spatially dependent reaction…

斑图形成与孤子 · 物理学 2019-11-06 Michal Kozák , Eamonn A Gaffney , Václav Klika

Symmetry-breaking instabilities play an important role in understanding the mechanisms underlying the diversity of patterns observed in nature, such as in Turing's reaction--diffusion theory, which connects cellular signalling and transport…

斑图形成与孤子 · 物理学 2023-12-25 Andrew L. Krause , Eamonn A. Gaffney , Thomas Jun Jewell , Václav Klika , Benjamin J. Walker

Several mechanisms have been proposed to explain the spontaneous generation of self-organized patterns, hypothesised to play a role in the formation of many of the magnificent patterns observed in Nature. In several cases of interest, the…

斑图形成与孤子 · 物理学 2025-10-22 Riccardo Muolo , Malbor Asllani , Duccio Fanelli , Philip K. Maini , Timoteo Carletti

The Turing instability is a paradigmatic route to patterns formation in reaction-diffusion systems. Following a diffusion-driven instability, homogeneous fixed points can become unstable when subject to external perturbation. As a…

斑图形成与孤子 · 物理学 2015-09-02 Joseph D. Challenger , Raffaella Burioni , Duccio Fanelli

Reaction-diffusion processes across layered media arise in several scientific domains such as pattern-forming E. coli on agar substrates, epidermal-mesenchymal coupling in development, and symmetry-breaking in cell polarisation. We develop…

Mechanisms of pattern formation---of which the Turing instability is an archetype---constitute an important class of dynamical processes occurring in biological, ecological and chemical systems. Recently, it has been shown that the Turing…

无序系统与神经网络 · 物理学 2019-06-19 Sayat Mimar , Mariamo Mussa Juane , Juyong Park , Alberto P. Munuzuri , Gourab Ghoshal

Spontaneous pattern formation in homogeneous systems is ubiquitous in nature. Although Turing demonstrated that spatial patterns can emerge in reaction-diffusion (RD) systems when the homogeneous state becomes linearly unstable, it remains…

生物物理 · 物理学 2024-08-20 Shuonan Wu , Bing Yu , Yuhai Tu , Lei Zhang

The aim of this paper is to contribute to the understanding of the pattern formation phenomenon in reaction-diffusion equations coupled with ordinary differential equations. Such systems of equations arise, for example, from modeling of…

偏微分方程分析 · 数学 2016-07-15 Anna Marciniak-Czochra , Grzegorz Karch , Kanako Suzuki

Turing instabilities for a two species reaction-diffusion systems is studied under anisotropic diffusion. More specifically, the diffusion constants which characterize the ability of the species to relocate in space are direction sensitive.…

Spatial and temporal pattern formation in reaction-diffusion systems is typically studied with two or more equations, as scalar reaction-diffusion equations confined to convex domains do not admit stable inhomogeneous states in time or…

斑图形成与孤子 · 物理学 2026-05-07 N. Mahashri , Andrew L. Krause , M. Chandru , Thomas E. Woolley

The emergence of stable disordered patterns in reactive system on spatially homogenous substrate is studied in the context of vegetation patterns in the semi-arid climatic zone. It is shown that reaction-diffusion systems that allow for…

斑图形成与孤子 · 物理学 2009-11-11 Alon Manor , Nadav M. Shnerb

We study pattern-forming instabilities in reaction-advection-diffusion systems. We develop an approach based on Lyapunov-Bloch exponents to figure out the impact of a spatially periodic mixing flow on the stability of a spatially…

斑图形成与孤子 · 物理学 2010-11-15 A. V. Straube , A. Pikovsky

We study the onset of spatial instabilities in reaction networks where the spatially homogeneous system admits a steady state parameterization. We formulate a sufficient condition -- based on the signs of the constant and leading…

动力系统 · 数学 2026-05-18 Carsten Conradi , Maya Mincheva , Hannes Uecker

Spatial distribution of the human population is distinctly heterogeneous, e.g. showing significant difference in the population density between urban and rural areas. In the historical perspective, i.e. on the timescale of centuries, the…

适应与自组织系统 · 物理学 2022-08-30 Anna Zincenko , Sergei Petrovskii , Vitaly Volpert

Turing instability in activator-inhibitor systems provides a paradigm of nonequilibrium pattern formation; it has been extensively investigated for biological and chemical processes. Turing pattern formation should furthermore be possible…

适应与自组织系统 · 物理学 2010-05-13 Hiroya Nakao , Alexander S. Mikhailov

Reaction-diffusion processes on networked systems have received mounting attention in the past two decades, and the corresponding theory of network dynamics has been continuously enriched with the advancement of network science. Recently,…

斑图形成与孤子 · 物理学 2025-04-30 Junyuan Shi , Linhe Zhu

In this paper, the Turing instability in reaction-diffusion models defined on complex networks is studied. Here, we focus on three types of models which generate complex networks, i.e. the Erd\H{o}s-R\'enyi, the Watts-Strogatz, and the…

斑图形成与孤子 · 物理学 2016-04-22 Yusuke Ide , Hirofumi Izuhara , Takuya Machida
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