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.
Original language | English |
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Pages (from-to) | 1327-1352 |
Number of pages | 26 |
Journal | Advances in Applied Mathematics and Mechanics |
Volume | 12 |
Issue number | 6 |
Early online date | Sept 2020 |
DOIs | |
Publication status | Published - Dec 2020 |
Scopus Subject Areas
- Mechanical Engineering
- Applied Mathematics
User-Defined Keywords
- Gierer-Meinhardt model
- Meshless method
- Pattern formation
- Spatially varying parameter