4.6 Article

Control of diffusion-driven pattern formation behind a wave of competency

期刊

PHYSICA D-NONLINEAR PHENOMENA
卷 438, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.physd.2022.133297

关键词

Turing pattern; Diffusion-driven instability; Pattern formation; Wave of competency; Partial differential equations

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) [PGSD3-5355 84-2019]
  2. Royal Society

向作者/读者索取更多资源

This study investigates pattern formation behind a wave of competency using Turing's diffusion-driven instability model. The results show that wave speed has an impact on pattern formation, with slower speeds leading to peak splittings and higher speeds resulting in peak insertions. In two spatial dimensions, different wave speeds lead to the formation of perpendicular or parallel stripes.
In certain biological contexts, such as the plumage patterns of birds and stripes on certain species of fishes, pattern formation takes place behind a so-called wave of competency . Currently, the effects of a wave of competency on the patterning outcome are not well-understood. In this study, we use Turing's diffusion-driven instability model to study pattern formation behind a wave of competency, under a range of wave speeds. Numerical simulations show that in one spatial dimension a slower wave speed drives a sequence of peak splittings in the pattern, whereas a higher wave speed leads to peak insertions. In two spatial dimensions, we observe stripes that are either perpendicular or parallel to the moving boundary under slow or fast wave speeds, respectively. We argue that there is a correspondence between the one-and two-dimensional phenomena, and hypothesize that (as others have) pattern formation behind a wave of competency can account for the pattern organization observed in many biological systems.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据