中国物理B ›› 2011, Vol. 20 ›› Issue (7): 74702-074702.doi: 10.1088/1674-1056/20/7/074702

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Turing pattern selection in a reaction–diffusion epidemic model

王玮明1, 刘厚业1, 蔡永丽1, 李镇清2   

  1. (1)College of Mathematics and Information Science, Wenzhou University, Wenzhou 325035, China; (2)State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
  • 收稿日期:2011-01-08 修回日期:2011-02-25 出版日期:2011-07-15 发布日期:2011-07-15
  • 基金资助:
    Project supported by the Natural Science Foundation of Zhejiang Province of China (Grant No. Y7080041).

Turing pattern selection in a reaction–diffusion epidemic model

Wang Wei-Ming(王玮明)a)†, Liu Hou-Ye(刘厚业)a), Cai Yong-Li (蔡永丽)a), and Li Zhen-Qing (李镇清)b)   

  1. a College of Mathematics and Information Science, Wenzhou University, Wenzhou 325035, China; b State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
  • Received:2011-01-08 Revised:2011-02-25 Online:2011-07-15 Published:2011-07-15
  • Supported by:
    Project supported by the Natural Science Foundation of Zhejiang Province of China (Grant No. Y7080041).

摘要: We present Turing pattern selection in a reaction—diffusion epidemic model under zero-flux boundary conditions. The value of this study is twofold. First, it establishes the amplitude equations for the excited modes, which determines the stability of amplitudes towards uniform and inhomogeneous perturbations. Second, it illustrates all five categories of Turing patterns close to the onset of Turing bifurcation via numerical simulations which indicates that the model dynamics exhibits complex pattern replication: on increasing the control parameter v, the sequence “H0 hexagons → H0-hexagon-stripe mixtures → stripes → Hπ-hexagon-stripe mixtures → Hπ hexagons” is observed. This may enrich the pattern dynamics in a diffusive epidemic model.

关键词: epidemic model, pattern selection, amplitude equations, Turing instability

Abstract: We present Turing pattern selection in a reaction--diffusion epidemic model under zero-flux  boundary conditions. The value of this study is twofold. First, it establishes the amplitude equations for  the excited modes, which determines the stability of amplitudes towards uniform and inhomogeneous  perturbations. Second, it illustrates all five categories of Turing patterns close to the onset of Turing  bifurcation via numerical simulations which indicates that the model dynamics exhibits complex pattern  replication: on increasing the control parameter $\nu$, the sequence ``$H_0$ hexagons $\rightarrow$  $H_0$-hexagon-stripe mixtures $\rightarrow$ stripes $\rightarrow$ $H_{\pi}$-hexagon-stripe mixtures  $\rightarrow$ $H_{\pi}$ hexagons" is observed. This may enrich the pattern dynamics in a diffusive epidemic model.

Key words: epidemic model, pattern selection, amplitude equations, Turing instability

中图分类号:  (Pattern selection; pattern formation)

  • 47.54.-r
87.23.Cc (Population dynamics and ecological pattern formation) 89.75.Kd (Patterns)