Delay differential equations as a tool for mathematical modelling of population dynamic

M. Glagolev, В Глаголев Михаил, A. Sabrekov, Сабреков Александр Фаритович, V. M. Goncharov, Гончаров Владимир Михайлович
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引用次数: 2

Abstract

The manuscript constitutes a lecture from a course “Mathematical modelling of biological processes”, adapted to the format of the journal paper. This course of lectures is held by one of authors in Ugra State University. Delay differential equations are widely used in different ecological and biological problems. It has to do with the fact that delay differential equations are able to take into account that different biological processes depend not only on the state of the system at the moment but on the state of the system in previous moments too. The most popular case of using delay differential equations in biology is modelling in population ecology (including the modelling of several interacting populations dynamic, for example, in predator-prey system). Also delay differential equations are considered in demography, immunology, epidemiology, molecular biology (to provide mathematical description of regulatory mechanisms in a cell functioning and division), physiology as well as for modelling certain important production processes (for example, in agriculture). In the beginning of the paper as introduction some basic concepts of differential difference equation theory (delay differential equations are specific type of differential difference equations) is considered and their classification is presented. Then it is discussed in more detail how such an important equations of population dynamic as Maltus equation and logistic (Verhulst-Pearl) equation are transformed into corresponsive delay differential equations – Goudriaan-Roermund and Hutchinson. Then several discussion questions on using of a delay differential equations in biological models are considered. It is noted that in a certain cases using of a delay differential equations lead to an incorrect behavior from the point of view of common sense. Namely solution of Goudriaan-Roermund equation with harvesting, stopped when all species were harvested, shows that spontaneous generation takes place in the system. This incorrect interpretation has to do with the fact that delay differential equations are used to simplify considered models (that are usually are systems of ordinary differential equations). Using of integro-differential equations could be more appropriate because in these equations background could be taken into account in a more natural way. It is shown that Hutchinson equation can be obtained by simplification of Volterra integral equation with a help of Diraq delta function. Finally, a few questions of analytical and numerical solution of delay differential equations are discussed.
时滞微分方程作为种群动态数学建模的工具
手稿构成了一个讲座课程“生物过程的数学建模”,适应期刊论文的格式。本课程由尤格拉州立大学的一位作者讲授。时滞微分方程广泛应用于各种生态和生物问题。这与延迟微分方程能够考虑到不同的生物过程不仅取决于系统当前的状态还取决于系统之前时刻的状态有关。在生物学中使用时滞微分方程的最流行的情况是种群生态学的建模(包括几个相互作用的种群动态的建模,例如,在捕食者-猎物系统中)。在人口统计学、免疫学、流行病学、分子生物学(提供细胞功能和分裂的调节机制的数学描述)、生理学以及某些重要生产过程的建模(例如,在农业中)中也考虑到延迟微分方程。本文首先介绍了微分差分方程理论的一些基本概念(时滞微分方程是一类特殊的微分差分方程),并对其进行了分类。然后详细讨论了Maltus方程和logistic (Verhulst-Pearl)方程等重要的种群动力学方程如何转化为相应的时滞微分方程Goudriaan-Roermund和Hutchinson。然后讨论了在生物模型中使用时滞微分方程的几个问题。需要指出的是,在某些情况下,从常识的角度来看,使用时滞微分方程会导致不正确的行为。即,当所有物种都被收获时,Goudriaan-Roermund方程的解停止,表明系统发生了自发发生。这种不正确的解释与使用延迟微分方程来简化考虑模型(通常是常微分方程系统)的事实有关。使用积分-微分方程可能更合适,因为在这些方程中可以更自然地考虑背景。利用Diraq函数对Volterra积分方程进行简化,得到了Hutchinson方程。最后讨论了时滞微分方程解析解和数值解的几个问题。
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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