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An Evolutionary Model that Satisfies Detailed Balance
Methodology and Computing in Applied Probability ( IF 1.0 ) Pub Date : 2020-11-09 , DOI: 10.1007/s11009-020-09835-5
Jüri Lember , Chris Watkins

We propose a class of evolution models that involves an arbitrary exchangeable process as the breeding process and different selection schemes. In those models, a new genome is born according to the breeding process, and after that a genome is removed according to the selection scheme that involves fitness. Thus, the population size remains constant. The process evolves according to a Markov chain, and, unlike in many other existing models, the stationary distribution – so called mutation-selection equilibrium – can easily found and studied. As a special case our model contains a (sub) class of Moran models. The behaviour of the stationary distribution when the population size increases is our main object of interest. Several phase-transition theorems are proved.



中文翻译:

满足详细平衡的进化模型

我们提出了一类进化模型,其中涉及作为育种过程和不同选择方案的任意可交换过程。在那些模型中,根据育种过程出生了一个新的基因组,然后根据涉及适应性的选择方案删除了​​一个基因组。因此,人口规模保持不变。该过程根据马尔可夫链演化,并且与许多其他现有模型不同,可以容易地发现和研究平稳分布(即所谓的突变选择平衡)。作为特殊情况,我们的模型包含Moran模型的(子)类。当人口规模增加时,平稳分布的行为是我们关注的主要对象。证明了几个相变定理。

更新日期:2020-11-09
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