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引用次数: 0
摘要
我们研究了具有更一般非线性边界条件的竞争扩散-平流 Lotka-Volterra 模型。基于一些新观点、新技术以及主谱和单调动力学系统理论,我们确定了以下参数对系统(1.A)动力学行为的影响:平流率(\α _{u}\)和(\(α _{u}\)。2): 平流速率 \(α _{u}\) 和 \(α _{v}\), 种间竞争强度 \(c_{u}\) 和 \(c_{v}\), 两个竞争物种的资源函数 \(r_{u}\) 和 \(r_{v}\), 以及非线性边界函数 \(g_{1}\) 和 \(g_{2}\).Tang and Chen in J. Differ.Equ.269(2):1465-1483, 2020; Zhou and Zhao in J. Differ.Equ.264:4176-4198, 2018)是我们的结果在 \(g_{i}\equiv const\) for \(i=1,2\) 时的特殊情况,因此本文扩展了(Tang and Chen in J. Differ.Equ.269(2):1465-1483, 2020; Zhou and Zhao in J. Differ.Equ.264:4176-4198, 2018).
Global dynamics of a diffusive competitive Lotka–Volterra model with advection term and more general nonlinear boundary condition
We investigate a competitive diffusion–advection Lotka–Volterra model with more general nonlinear boundary condition. Based on some new ideas, techniques, and the theory of the principal spectral and monotone dynamical systems, we establish the influence of the following parameters on the dynamical behavior of system (1.2): advection rates \(\alpha _{u}\) and \(\alpha _{v}\), interspecific competition intensities \(c_{u}\) and \(c_{v}\), the resources functions \(r_{u}\) and \(r_{v}\) of the two competitive species, and nonlinear boundary functions \(g_{1}\) and \(g_{2}\). The models of (Tang and Chen in J. Differ. Equ. 269(2):1465–1483, 2020; Zhou and Zhao in J. Differ. Equ. 264:4176–4198, 2018) are particular cases of our results when \(g_{i}\equiv const\) for \(i=1,2\), and hence this paper extends some of the conclusions from (Tang and Chen in J. Differ. Equ. 269(2):1465–1483, 2020; Zhou and Zhao in J. Differ. Equ. 264:4176–4198, 2018).
期刊介绍:
The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions.
The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between.
The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations.
Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.