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Singularity of Lotka-Volterra models under unfoldings

机译:展开的Lotka-Volterra模型的奇点

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In this paper, we classify the singularity of a Lotka-Volterra competitive model with a Gaussian competition function and non-Gaussian carrying capacity functions. These functions need not be completely different to affect adaptive dynamics of the model. For instance, it will be seen how ostensibly similar models can actually give rise to quite different behaviors due to their properties under unfolding. The use of Gaussian-like carrying capacity functions can also show the sensitivity of the model to assumptions on the carrying capacity function's shapes. The classification is achieved using singularity theory of fitness functions under dimorphism equivalence. We also investigate the effect of the presence of unfolding and bifurcation parameters on the evolution of the system near its singular points. Particularly, we study the adaptive dynamics of the system near the singularity by focusing on ESS and CvSS types, and dimorphisms. Mutual invasibility plots are used to show regions of coexistence.
机译:在本文中,我们将Lotka-Volterra竞争模式的奇点分类为高斯竞争功能和非高斯承载能力功能。这些功能不需要完全不同,以影响模型的自适应动态。例如,可以看出,由于其在展开下的属性,如何使方面相似的模型实际上可以产生相当不同的行为。使用高斯携带能力功能也可以显示模型对承载能力功能的形状的假设的灵敏度。通过在二维分子等值下使用健身功能的奇异性理论来实现分类。我们还研究了在其奇点附近系统的演变上存在展开和分叉参数的影响。特别是,我们通过专注于ESS和CVSS类型和二形态来研究奇点附近系统的自适应动态。相互侵犯性地块用于显示共存区域。

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