Bernstein duality revisited: frequency-dependent selection, coordinated mutation and opposing environments

Fernando Cordero, Sebastian Hummel, Grégoire Véchambre
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Abstract

Population models usually come in pairs; one process describes forward evolution (e.g. type composition) and the other describes backward evolution (e.g. lines of descent). These processes are often linked by a formal relationship known as duality. Ideally, one of the two processes is easier to analyze, and the duality relation is so simple that properties of the more involved process can be inferred from the simpler one. This is the case when the forward process admits a moment dual. Unfortunately, moment duality seems to be the exception rather than the rule. Various approaches have been used to analyze models in the absence of a moment dual, one of them is based on Bernstein duality and another one on Siegmund duality. As a rule of thumb, the first approach seems to work well whenever the ancestral processes are positive recurrent; the second one, in contrast, works well in situations where the ancestral structures can grow to infinity (in size). The second approach was recently used to provide a full characterization of the long-term behavior of a broad class of $\Lambda$-Wright--Fisher processes subject to frequency-dependent selection and opposing environments. In this paper, we use the first approach to complete the picture, i.e. we describe the long-term behavior of a different class of $\Lambda$-Wright--Fisher processes, which covers many of the cases that were not covered by the aforementioned result (the two classes intersect, but none is a proper subset of the other one). Moreover, we extend the notion of Bernstein duality to cases with (single and coordinated) mutations {and environmental selection}, and we use it to show ergodic properties of the process.
伯恩斯坦二元论再探:频率依赖性选择、协调突变和对立环境
种群模型通常是成对的;一个过程描述前向进化(如类型组成),另一个过程描述后向进化(如世系)。这些过程通常通过一种被称为对偶性的形式关系联系在一起。理想情况下,这两个过程中的一个更容易分析,而且对偶关系非常简单,以至于可以从较简单的过程中推断出较复杂过程的属性。如果前向过程具有时刻对偶性,就会出现这种情况。遗憾的是,时刻对偶似乎是例外而非规则。在没有矩对偶的情况下,人们采用了多种方法来分析模型,其中一种是基于伯恩斯坦对偶性,另一种是基于西格蒙德对偶性。根据经验,第一种方法在祖先过程是正向循环的情况下似乎很有效;相反,第二种方法在祖先结构可以增长到无穷大的情况下很有效。第二种方法最近被用于全面描述国外一类$\Lambda$-Wright-Fisher过程的长期行为,该过程受到频率依赖性选择和对立环境的影响。在本文中,我们使用第一种方法来完成这一描述,即我们描述了另一类$\Lambda$-Wright--Fisher过程的长期行为,它涵盖了上述结果没有涵盖的许多情况(这两类过程有交叉,但没有一类是另一类的适当子集)。
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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