Study on Turing Patterns of Gray-Scott Model via Amplitude Equation

被引:6
|
作者
Xie, Wen-Xian [1 ]
Cao, Shu-Ping [1 ]
Cai, Li [2 ]
Zhang, Xiao-Xuan [1 ]
机构
[1] Northwestern Polytech Univ, Dept Appl Math, Xian 710129, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, NPU UoG Int Cooperat Lab Computat & Applicat Card, Xian 710129, Shaanxi, Peoples R China
来源
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2020年 / 30卷 / 08期
基金
中国国家自然科学基金;
关键词
Gray-Scott model; amplitude equation; feedback time delay; Turing pattern selection; reaction-diffusion equation; EXPRESSION TIME DELAYS; CROSS-DIFFUSION; DYNAMICS;
D O I
10.1142/S0218127420501217
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, the amplitude equations of a Gray-Scott model without (or with) the feedback time delay are derived based on weakly nonlinear method, by which the selection of Turing patterns for this model can be theoretically determined. As a result, the effects of the diffusion coefficient ratio and the time delay factor on the Turing pattern can be investigated as the main purpose of this paper. If one of the diffusion coefficients is chosen as the bifurcation control parameter in the procedure of the amplitude equation at first, it is proved that the first-order bifurcation of the Turing patterns is only determined by the diffusion coefficient ratio and independent of the concrete value of each diffusion coefficient once the parameters of the reaction terms are fixed as the appropriate constants in the regions of Turing patterns. Furthermore, the feedback time delay factor has no effect on the first-order bifurcation of the Turing patterns, but affects the morphological characteristics of the Turing patterns, especially in the case of large ratio of the diffusion coefficients. With time increasing, the feedback time delay factor can postpone the formation of the Turing patterns and cause the oscillations of Turing patterns at each spatial position. By implementing the numerical calculations for this model, the various Turing patterns with different values of the diffusion coefficient ratios are presented, which really verify the dependence of the diffusion coefficient ratio and independence of the feedback time delay on the first-order bifurcation of the Turing patterns.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Control of spatiotemporal patterns in the Gray-Scott model
    Kyrychko, Y. N.
    Blyuss, K. B.
    Hogan, S. J.
    Schoell, E.
    CHAOS, 2009, 19 (04)
  • [2] An HOC Approach for Patterns Using Gray-Scott Model
    Kalita, Jiten C.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016), 2017, 1863
  • [3] Turing Instability and Dynamic Bifurcation for the One-Dimensional Gray-Scott Model
    Choi, Yuncherl
    Ha, Taeyoung
    Han, Jongmin
    Kim, Sewoong
    Lee, Doo Seok
    STUDIES IN APPLIED MATHEMATICS, 2025, 154 (01)
  • [4] Standing wave-like patterns in the Gray-Scott model
    Berenstein, Igal
    CHAOS, 2015, 25 (06)
  • [5] On pattern formation in the Gray-Scott model
    Rui PENG & Ming-xin WANG Institute of Nonlinear Complex Systems
    Science in China(Series A:Mathematics), 2007, (03) : 377 - 386
  • [6] On pattern formation in the Gray-Scott model
    Peng, Rui
    Wang, Ming-xin
    SCIENCE IN CHINA SERIES A-MATHEMATICS, 2007, 50 (03): : 377 - 386
  • [7] On pattern formation in the Gray-Scott model
    Rui Peng
    Ming-xin Wang
    Science in China Series A: Mathematics, 2007, 50 : 377 - 386
  • [8] Velocity-Amplitude Relationship in the Gray-Scott Autowave Model in Isolated Conditions
    Tokarev, Alexey A.
    ACS OMEGA, 2019, 4 (11): : 14430 - 14438
  • [9] Generative complexity of Gray-Scott model
    Adamatzky, Andrew
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2018, 56 : 457 - 466
  • [10] Pattern formation in the Gray-Scott model
    McGough, JS
    Riley, K
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2004, 5 (01) : 105 - 121