Long time behavior of a Lotka–Volterra competition system with two dynamical resources and density-dependent motility

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jianping Gao, Wenyan Lian
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引用次数: 0

Abstract

In this paper, we consider a Lotka–Volterra competition system with two dynamical resources and density-dependent motility under the homogeneous Neumann boundary condition. Here, we put the two competing species into a predator–prey system, and assume that the two competing species as predators can feed on different preys and that the preys as resources admit temporal dynamics including spatial movement, intrinsic birth–death kinetics and loss due to predation. When the distributions of prey’s resources can be homogeneous, by using some proper Lyapunov functionals and applying LaSalle’s invariant principle, we obtain that the solution can converge to the positive steady state exponentially or to the competitive exclusion steady states algebraically as time goes to infinity. Our finding shows that the consideration of temporal dynamics on the resources can lead to the coexistence of two competitors in some parameter conditions regardless of their dispersal rates. When the distributions of prey’s resources are spatially heterogeneous, we conduct several numerical simulations in different combinations of dispersal strategy and the distributions of prey’s resources, and we show that the non-random dispersal and heterogeneous distributions of prey’s resources can affect the fates of two competitors.
具有两种动态资源和密度依赖性运动的 Lotka-Volterra 竞争系统的长期行为
在本文中,我们考虑的是在均质 Neumann 边界条件下具有两种动态资源和密度依赖性运动的 Lotka-Volterra 竞争系统。在此,我们将两个竞争物种置于捕食者-猎物系统中,并假设作为捕食者的两个竞争物种可以捕食不同的猎物,作为资源的猎物具有时间动力学特性,包括空间运动、内在的出生-死亡动力学和捕食导致的损失。当猎物资源的分布可以是同质的时,通过使用一些适当的 Lyapunov 函数并应用拉萨尔不变原理,我们可以得到,随着时间的无穷大,解可以指数收敛到正稳态或代数收敛到竞争排斥稳态。我们的发现表明,在某些参数条件下,考虑资源的时间动态会导致两个竞争者共存,而不管它们的扩散率如何。当猎物资源的分布在空间上具有异质性时,我们对不同的扩散策略和猎物资源分布组合进行了多次数值模拟,结果表明,猎物资源的非随机扩散和异质性分布会影响两个竞争者的命运。
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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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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