4.7 Article

On the strongly competitive case in a fully parabolic two-species chemotaxis system with Lotka-Volterra competitive kinetics

期刊

JOURNAL OF DIFFERENTIAL EQUATIONS
卷 354, 期 -, 页码 90-132

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jde.2023.01.008

关键词

Two-species chemotaxis model; Lotka-Volterra dynamics; Strong competition; Large time behavior; Pattern formation

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This work investigates a two-species chemotaxis system with a Lotka-Volterra competitive kinetic functional response term in a bounded domain. The study proves the existence of global bounded solutions to the system in high dimensions, without the need for convexity of the domain. The research also analyzes the asymptotic behavior of solutions under strong competition, which has not been well-studied before. Additionally, numerical simulations demonstrate various possible patterning regimes for both semi-trivial and coexistence steady states.
This work considers a two-species chemotaxis system with Lotka-Volterra competitive kinetic functional response term in a bounded domain with smooth boundary. We proved global bounded solutions to the system in high dimensions (n < 5) without the convexity of the domain. Moreover, by constructing appro-priate Lyapunov functionals, it is proved that the solution convergences to the semi-trivial steady state in L infinity(O) under strong competition (a1, a2 >= 1, where a1, a2 represent the intensity of competition between different species) if the growth coefficients of two species are appropriately large. Compared to previous work, our result removes the requirement for the convexity of the domain and proves global bounded so-lutions in high dimensions (n < 5). Moreover, we studied the asymptotic behavior of solutions in the case of strong competition which is obscure in the existing literature. Furthermore, the linear stability analysis is performed to find the possible patterning regimes, outside the stability parameters regime, for both semi -trivial and coexistence steady states, our numerical simulations show that non-constant steady states and spatially inhomogeneous temporal periodic patterns are all possible. (c) 2023 Elsevier Inc. All rights reserved.

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