Existence and asymptotic stability of a generic Lotka-Volterra system with nonlinear spatially heterogeneous cross-diffusion

IF 2.4 2区 数学 Q1 MATHEMATICS
Tian Xu Wang , Jiwoon Sim , Hao Wang
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引用次数: 0

Abstract

This article considers a class of Lotka-Volterra systems with multiple nonlinear cross-diffusion, commonly known as prey-taxis models. The existence and stability of classic solutions for such systems with spatially homogeneous sources and taxis have been studied in one- or two-dimensional space, however, the proof is non-trivial for a more general setting with spatially heterogeneous predation functions and taxis coefficient functions in arbitrary dimensions. This study introduces a new weighted Lϵp-norm and extends some classical inequalities within this normed space. Coupled energy estimates are employed to establish initial bounds, followed by applying heat kernel properties and an advanced bootstrap process to enhance solution regularity. For stability analysis, we extend LaSalle's invariance principle to a general L setting and utilize it alongside Lyapunov functions to analyze the stability of each possible constant equilibrium. All results are achieved without introducing an extra logistic growth term for predators or imposing smallness conditions on taxis coefficients.
一类具有非线性空间非均质交叉扩散的Lotka-Volterra系统的存在性和渐近稳定性
本文研究的是一类具有多重非线性交叉扩散的 Lotka-Volterra 系统,即通常所说的 prey-taxis 模型。在一维或二维空间中,人们已经研究了这类具有空间同质源和分类群的系统的经典解的存在性和稳定性,然而,对于在任意维度上具有空间异质捕食函数和分类群系数函数的更一般设置,证明并不容易。本研究引入了一种新的加权 Lϵp 准则,并在此准则空间内扩展了一些经典不等式。我们采用耦合能量估计来建立初始边界,然后应用热核特性和先进的自举过程来增强解的正则性。在稳定性分析方面,我们将拉萨尔不变性原理扩展到一般 L∞ 设置,并将其与 Lyapunov 函数一起用于分析每种可能恒定平衡的稳定性。所有结果都是在没有为捕食者引入额外的对数增长项或对分类系数施加小性条件的情况下取得的。
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
CiteScore
4.40
自引率
8.30%
发文量
543
审稿时长
9 months
期刊介绍: The Journal of Differential Equations is concerned with the theory and the application of differential equations. The articles published are addressed not only to mathematicians but also to those engineers, physicists, and other scientists for whom differential equations are valuable research tools. Research Areas Include: • Mathematical control theory • Ordinary differential equations • Partial differential equations • Stochastic differential equations • Topological dynamics • Related topics
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