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大小和年龄结构种群的随机偏微分方程的推导。

Derivation of stochastic partial differential equations for size- and age-structured populations.

机构信息

Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA.

出版信息

J Biol Dyn. 2009 Jan;3(1):73-86. doi: 10.1080/17513750802162754.

Abstract

Stochastic partial differential equations (SPDEs) for size-structured and age- and size-structured populations are derived from basic principles, i.e. from the changes that occur in a small time interval. Discrete stochastic models of size-structured and age-structured populations are constructed, carefully taking into account the inherent randomness in births, deaths, and size changes. As the time interval decreases, the discrete stochastic models lead to systems of Itô stochastic differential equations. As the size and age intervals decrease, SPDEs are derived for size-structured and age- and size-structured populations. Comparisons between numerical solutions of the SPDEs and independently formulated Monte Carlo calculations support the accuracy of the derivations.

摘要

基于基本原理,即从小时间间隔发生的变化出发,推导出了针对大小结构和年龄结构及大小结构种群的随机偏微分方程(SPDE)。构建了大小结构和年龄结构种群的离散随机模型,仔细考虑了出生、死亡和大小变化中固有的随机性。随着时间间隔的减小,离散随机模型导致了 Ito 随机微分方程系统。随着大小和年龄间隔的减小,推导出了大小结构和年龄及大小结构种群的 SPDE。SPDE 的数值解与独立制定的蒙特卡罗计算之间的比较支持了推导的准确性。

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