Population Dependent Two-Sex Branching Process with Random Mating and Overlapping Generations

Q3 Mathematics Stochastics and Quality Control Pub Date : 2024-05-17 DOI:10.1515/eqc-2024-0008
Manuel Molina, Manuel Mota
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Abstract

This research focuses on stochastic modeling of the evolution over time of biological populations through branching processes. We introduce a new class of discrete time two-sex branching processes with random mating and overlapping generations. Mating and reproduction are considered to be influenced by the numbers of females and males existing in the population. This evolution over time with generational overlap is a novel research in two-sex branching process literature. We study general probabilistic properties and establish some limiting results of biological interest.
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随机交配和世代重叠的种群依赖性双性分支过程
本研究的重点是通过分支过程对生物种群随时间的演变进行随机建模。我们引入了一类新的随机交配和世代重叠的离散时间双性分支过程。交配和繁殖被认为受到种群中雌性和雄性数量的影响。这种世代重叠的时间演化是双性分支过程文献中的一项新研究。我们研究了一般概率特性,并建立了一些具有生物学意义的限制性结果。
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来源期刊
Stochastics and Quality Control
Stochastics and Quality Control Mathematics-Discrete Mathematics and Combinatorics
CiteScore
1.10
自引率
0.00%
发文量
12
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