Hopf bifurcation in delayed nutrient-microorganism model with network structure.

IF 2.7 4区 数学 Q3 ECOLOGY
Mengxin Chen, Qianqian Zheng, Ranchao Wu, Liping Chen
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引用次数: 0

Abstract

In this paper, we introduce and deal with the delayed nutrient-microorganism model with a random network structure. By employing time delay τ as the main critical value of the Hopf bifurcation, we investigate the direction of the Hopf bifurcation of such a random network nutrient-microorganism model. Noticing that the results of the direction of the Hopf bifurcation in a random network model are rare, we thus try to use the method of multiple time scales (MTS) to derive amplitude equation and determine the direction of the Hopf bifurcation. It is showed that the delayed random network nutrient-microorganism model can exhibit a supercritical or subcritical Hopf bifurcation. Numerical experiments are performed to verify the validity of the theoretical analysis.

具有网络结构的延迟营养-微生物模型的Hopf分岔。
本文介绍并处理了具有随机网络结构的延迟营养物-微生物模型。采用时滞τ作为Hopf分岔的主要临界值,研究了这种随机网络营养-微生物模型的Hopf分岔方向。注意到随机网络模型中Hopf分岔方向的结果很少,因此我们尝试使用多时间尺度(MTS)方法推导振幅方程并确定Hopf分岔的方向。结果表明,时滞随机网络营养-微生物模型会出现超临界或亚临界Hopf分岔。通过数值实验验证了理论分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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