相互作用复制因子动力学中的持久性和中立性。

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2025-01-03 DOI:10.1007/s00285-024-02174-w
Leonardo Videla, Mauricio Tejo, Cristóbal Quiñinao, Pablo A Marquet, Rolando Rebolledo
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引用次数: 0

摘要

我们研究了具有平均场相互作用的服从复制器类随机动力学的实体集合的大时间行为,作为原始生态的模型。我们证明了一类相关McKean-Vlasov动力学的混沌传播性质,并建立了n复制子系统的强持久性和不变量分布的存在性条件。特别是,我们的结果表明,与典型的中性生态模型不同,适应度等效不需要假设,而是作为系统持续存在的条件。此外,中立性与唯一的狄利克雷不变概率测度相关联。我们用一些简单的案例研究来说明我们的发现,提供数值结果,并根据生态学中的中性理论讨论我们的结论。
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Persistence and neutrality in interacting replicator dynamics.

We study the large-time behavior of an ensemble of entities obeying replicator-like stochastic dynamics with mean-field interactions as a model for a primordial ecology. We prove the propagation-of-chaos property and establish conditions for the strong persistence of the N-replicator system and the existence of invariant distributions for a class of associated McKean-Vlasov dynamics. In particular, our results show that, unlike typical models of neutral ecology, fitness equivalence does not need to be assumed but emerges as a condition for the persistence of the system. Further, neutrality is associated with a unique Dirichlet invariant probability measure. We illustrate our findings with some simple case studies, provide numerical results, and discuss our conclusions in the light of Neutral Theory in ecology.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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