Bifurcation analysis in a diffusive predator–prey system with Michaelis–Menten-type predator harvesting

被引:0
|
作者
Qiannan Song
Ruizhi Yang
Chunrui Zhang
Leiyu Tang
机构
[1] Northeast Forestry University,Department of Mathematics
[2] Shandong University of Science and Technology,College of Mathematics and Systems Science
来源
Advances in Difference Equations | / 2018卷
关键词
Prey–predator; diffusion; Turing instability; Hopf bifurcation; 34K18; 35B32;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we consider a modified predator–prey model with Michaelis–Menten-type predator harvesting and diffusion term. We give sufficient conditions to ensure that the coexisting equilibrium is asymptotically stable by analyzing the distribution of characteristic roots. We also study the Turing instability of the coexisting equilibrium. In addition, we use the natural growth rate r1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$r_{1}$\end{document} of the prey as a parameter and carry on Hopf bifurcation analysis including the existence of Hopf bifurcation, bifurcation direction, and the stability of the bifurcating periodic solution by the theory of normal form and center manifold method. Our results suggest that the diffusion term is important for the study of the predator–prey model, since it can induce Turing instability and spatially inhomogeneous periodic solutions. The natural growth rate r1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$r_{1}$\end{document} of the prey can also affect the stability of positive equilibrium and induce Hopf bifurcation.
引用
收藏
相关论文
共 50 条
  • [31] Bifurcation and Turing pattern formation in a diffusive ratio-dependent predator-prey model with predator harvesting
    Gao, Xiaoyan
    Ishag, Sadia
    Fu, Shengmao
    Li, Wanjun
    Wang, Weiming
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2020, 51
  • [32] Stability and bifurcation of a reaction-diffusion predator-prey model with non-local delay and Michaelis-Menten-type prey-harvesting
    Zhang, Xuebing
    Zhao, Hongyong
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2016, 93 (09) : 1447 - 1469
  • [33] Hopf bifurcation and optimal control in a diffusive predator-prey system with time delay and prey harvesting
    Chang, Xiaoyuan
    Wei, Junjie
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2012, 17 (04): : 379 - 409
  • [34] Bifurcation analysis of a diffusive ratio-dependent predator-prey model
    Song, Yongli
    Zou, Xingfu
    NONLINEAR DYNAMICS, 2014, 78 (01) : 49 - 70
  • [35] Stability and bifurcation of a delayed diffusive predator-prey system with food-limited and nonlinear harvesting
    Sun, Guangxun
    Dai, Binxiang
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2020, 17 (04) : 3520 - 3552
  • [36] HOPF BIFURCATION IN A DIFFUSIVE PREDATOR-PREY MODEL WITH HERD BEHAVIOR AND PREY HARVESTING
    Jiang, Heping
    Tang, Xiaosong
    JOURNAL OF APPLIED ANALYSIS AND COMPUTATION, 2019, 9 (02): : 671 - 690
  • [37] Hopf bifurcation analysis in a delayed diffusive predator-prey system with nonlocal competition and generalist predator
    Nie, Chenxuan
    Jin, Dan
    Yang, Ruizhi
    AIMS MATHEMATICS, 2022, 7 (07): : 13344 - 13360
  • [38] HOPF BIFURCATION ANALYSIS FOR A DELAYED PREDATOR-PREY SYSTEM WITH A PREY REFUGE AND SELECTIVE HARVESTING
    Peng, Miao
    Zhang, Zhengdi
    Wang, Xuedi
    Liu, Xiuyu
    JOURNAL OF APPLIED ANALYSIS AND COMPUTATION, 2018, 8 (03): : 982 - 997
  • [39] Bifurcation analysis of a Leslie-type predator-prey system with prey harvesting and group defense
    Zhang, Yongxin
    Luo, Jianfeng
    FRONTIERS IN PHYSICS, 2024, 12
  • [40] Bifurcation analysis of a diffusive predator-prey system with a herd behavior and quadratic mortality
    Xu, Zhou
    Song, Yongli
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2015, 38 (14) : 2994 - 3006