具有等级规模结构的随机种群模型

IF 2.4 3区 数学 Q1 MATHEMATICS Journal of Applied Mathematics and Computing Pub Date : 2024-07-19 DOI:10.1007/s12190-024-02187-0
Carles Barril, Àngel Calsina, József Z. Farkas
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引用次数: 0

摘要

我们考虑了一个分层结构的种群,在这个种群中,个体所能获得的资源量会受到较大个体的影响,而个体对资源的摄取只会直接影响个体的增长率。我们建立了一个确定性模型,其形式为人口出生率延迟方程。我们还建立了一个基于个体的随机模型,并研究了这两个模型之间的关系。特别是将确定性模型的静态出生率与随机模型的准静态出生率进行比较。由于准静态出生率无法明确获得,我们推导出了一个近似公式。我们证明,确定模型的静态出生率可以作为随机模型准静态出生率的大人口极限。这一关系表明,当个体数量足够大时,确定性模型是随机模型的良好近似。
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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A stochastic population model with hierarchic size-structure

We consider a hierarchically structured population in which the amount of resources an individual has access to is affected by individuals that are larger, and that the intake of resources by an individual only affects directly the growth rate of the individual. We formulate a deterministic model, which takes the form of a delay equation for the population birth rate. We also formulate an individual based stochastic model, and study the relationship between the two models. In particular the stationary birth rate of the deterministic model is compared to that of the quasi-stationary birth rate of the stochastic model. Since the quasi-stationary birth rate cannot be obtained explicitly, we derive a formula to approximate it. We show that the stationary birth rate of the deterministic model can be obtained as the large population limit of the quasi-stationary birth rate of the stochastic model. This relation suggests that the deterministic model is a good approximation of the stochastic model when the number of individuals is sufficiently large.

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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
期刊介绍: JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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