DUALITY AND FIXATION IN Ξ-WRIGHT-FISHER PROCESSES WITH FREQUENCY-DEPENDENT SELECTION

• 成果类型: Article
• 署名作者: Casanova, Adrian Gonzalez; Spano, Dario
• 署名单位: Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; University of Warwick
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/17-AAP1305
• 发表日期: 2018
• 页码: 250-284
• 关键词: FLEMING-VIOT PROCESS; genealogy

摘要

A two-types, discrete-time population model with finite, constant size is constructed, allowing for a general form of frequency-dependent selection and skewed offspring distribution. Selection is defined based on the idea that individuals first choose a (random) number of potential parents from the previous generation and then, from the selected pool, they inherit the type of the fittest parent. The probability distribution function of the number of potential parents per individual thus parametrises entirely the selection mechanism. Using sampling-and moment-duality, weak convergence is then proved both for the allele frequency process of the selectively weak type and for the population's ancestral process. The scaling limits are, respectively, a two-types Xi-Fleming-Viot jump-diffusion process with frequency-dependent selection, and a branching-coalescing process with general branching and simultaneous multiple collisions. Duality also leads to a characterisation of the probability of extinction of the selectively weak allele, in terms of the ancestral process' ergodic properties.