变环境下马耳他种群模型的数学分析

A. A. Kaygermazov, F. Kudayeva, D. A. Khashkhozheva, A. Zhemukhov, S. B. Balkarova, M. B. Etezova
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摘要

数学模型的构建和应用是各学科获取知识的主要手段。目前,数学模型与物理和化学模型一起是研究生物问题的有力工具。建立描述孤立种群动态的数学模型的主要内容之一是考虑受不同性质因素影响的种群。平衡考虑是建立人口动态的离散和连续数学模型的基础。如果种群的发展是同步进行的,则可以方便地使用离散模型来描述其动态。同时,由于个体的死亡和出生是连续的,离散模型在实践中的应用受到限制。因此,在实践中应用最广泛和研究最深入的是一类基于常微分方程的模型。因此,在实践中应用最广泛、分析研究最深入的是一类建立在常微分方程基础上的模型。本文研究了在不同生长系数值的非平稳环境下的马尔萨斯恒定种群模型。给出了柯西问题的精确解析解。构造了基于两个连续分割间隔的生长参数识别方案。在计算机上进行了试验计算。构造了种群规模变化曲线图。所得的结果使我们可以得出这样的结论:描述人口发展指数阶段的马尔萨斯模型可以特别地描述连续增长的逻辑过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Analysis of the Maltus Population Model in a Variable Environment
The construction and application of mathematical models is the main means of knowledge of each science. Currently mathematical models along with physical and chemical are a powerful tool in the study of biological problems. One of the main elements in the construction of mathematical models describing the dynamics of the isolated population is to take info account the population under the influence of factors of different nature. Balance considerations underlie the construction of both discrete and continuous mathematical models of population dynamics. If the development of the population is carried out synchronously then it is convenient to use discrete models to describe its dynamics. At the same time, due to the fact that the death and birth of individuals is continuous, the use of discrete models in practice is limited. Therefore the most widely used in practice and deeply studied is a class of models based on ordinary differential equations. Therefore, the most widely used in practice and sufficiently deeply studied analytically is a class of models built on the basis of ordinary differential equations. The proposed work is devoted to the study of a constant population model of Malthus in a nonstationary environment for different values of the growth coefficient. Exact analytical solutions of the Cauchy problem are found. The schemes of identification of growth parameters on the basis of the interval between two consecutive divisions are constructed. Test calculations on the computer are carried out. Graphs of population size change are constructed. The obtained results allow us to conclude that the Malthus model describing the exponential phase of population development can describe in particular the logistic process of continuous growth.
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