Complex Pattern Formations by Spatial Varying Parameters

Complex Pattern Formations by Spatial Varying Parameters

Year:    2020

Author:    Siqing Li, Leevan Ling

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 6 : pp. 1327–1352

Abstract

Pattern formations by Gierer-Meinhardt (GM) activator-inhibitor model are considered in this paper. By linear analysis, critical value of bifurcation parameter can be evaluated to ensure Turing instability. Numerical simulations are tested by using second order semi-implicit backward difference methods for time discretization and the meshless Kansa method for spatially discretization. We numerically show the convergence of our algorithm. Pattern transitions in irregular domains are shown. We also provide various parameter settings on some irregular domains for different patterns appeared in nature. To further simulate patterns in reality, we construct different kinds of animal type domains and obtain desired patterns by applying proposed parameter settings.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2018-0266

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 6 : pp. 1327–1352

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    26

Keywords:    Gierer-Meinhardt model pattern formation meshless method spatially varying parameter.

Author Details

Siqing Li

Leevan Ling

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