Discreteness-induced spatial chaos versus fluctuation-induced spatial order in stochastic Turing pattern formation

Fuente: arXiv
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Main Authors: Yanagisawa, Yusuke, Sasa, Shin-ichi
Format: Preprint
Published: 2025
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author Yanagisawa, Yusuke
Sasa, Shin-ichi
author_facet Yanagisawa, Yusuke
Sasa, Shin-ichi
contents We investigate Turing pattern formation in a stochastic reaction-diffusion model defined on $N$ lattice sites, where each lattice site is associated with a reaction vessel of volume $Ω$. We focus on a regime where spatial discreteness plays a crucial role, namely when the characteristic length of patterns is comparable to the lattice spacing. In this setting, we compare two different limiting procedures and show that they lead to qualitatively different outcomes. If we first take the deterministic limit $Ω\to \infty$ and then the long-time limit $t \to \infty$, the stationary solutions of the corresponding spatially discrete deterministic equations become spatially chaotic in the limit $N\to\infty$. In contrast, if we first take the limit $t \to \infty$ and then take an appropriate limit of $Ω\to \infty$ and $N\to\infty$, the resulting patterns are spatially periodic.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10500
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Discreteness-induced spatial chaos versus fluctuation-induced spatial order in stochastic Turing pattern formation
Yanagisawa, Yusuke
Sasa, Shin-ichi
Statistical Mechanics
We investigate Turing pattern formation in a stochastic reaction-diffusion model defined on $N$ lattice sites, where each lattice site is associated with a reaction vessel of volume $Ω$. We focus on a regime where spatial discreteness plays a crucial role, namely when the characteristic length of patterns is comparable to the lattice spacing. In this setting, we compare two different limiting procedures and show that they lead to qualitatively different outcomes. If we first take the deterministic limit $Ω\to \infty$ and then the long-time limit $t \to \infty$, the stationary solutions of the corresponding spatially discrete deterministic equations become spatially chaotic in the limit $N\to\infty$. In contrast, if we first take the limit $t \to \infty$ and then take an appropriate limit of $Ω\to \infty$ and $N\to\infty$, the resulting patterns are spatially periodic.
title Discreteness-induced spatial chaos versus fluctuation-induced spatial order in stochastic Turing pattern formation
topic Statistical Mechanics
url https://arxiv.org/abs/2512.10500