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arXiv 0903.4254math.DSmath.CAq-bio.PE
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一类具有扩散的比率依赖捕食模型的Turing不稳定性

Turing Instability for a Ratio-Dependent Predator-Prey Model with Diffusion

Shaban Aly, Imbunm Kim, Dongwoo Sheen

摘要:

比率依赖的捕食者-食饵模型越来越受到生态学家的青睐,其中捕食者-食饵相互作用必须考虑捕食搜索过程。本文研究了一类捕食者死亡率既不是常数也不是无界函数,而是随捕食者丰度增加而增加的反应扩散模型平衡解的存在性和稳定性条件.我们分析表明,在一定的临界值的扩散驱动(图灵型)不稳定性发生,即固定的解决方案保持稳定的动力学系统(系统无扩散)。我们还表明,固定的解决方案变得不稳定的系统与扩散和图灵分叉发生:空间非均匀(非常数)的解决方案(结构或图案)出现。给出了一个保持数值解正性和食饵解有界性的数值格式。数值例子也包括在内。

英文摘要:

Ratio-dependent predator-prey models have been increasingly favored by field ecologists where predator-prey interactions have to be taken into account the process of predation search. In this paper we study the conditions of the existence and stability properties of the equilibrium solutions in a reaction-diffusion model in which predator mortality is neither a constant nor an unbounded function, but it is increasing with the predator abundance. We show that analytically at a certain critical value a diffusion driven (Turing type) instability occurs, i.e. the stationary solution stays stable with respect to the kinetic system (the system without diffusion). We also show that the stationary solution becomes unstable with respect to the system with diffusion and that Turing bifurcation takes place: a spatially non-homogenous (non-constant) solution (structure or pattern) arises. A numerical scheme that preserve the positivity of the numerical solutions and the boundedness of prey solution will be presented. Numerical examples are also included.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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