Large time behavior of solutions to a cooperative model with population flux by attractive transition
Ryuichi Kato, Kousuke Kuto
TL;DR
This work analyzes a two-species cooperative diffusion system with population flux by attractive transition on a bounded convex domain under Neumann boundaries. By leveraging equal diffusion rates and a weakened cooperative condition, it first proves global existence of classical solutions for spatial dimension $N\le 3$ and establishes an $L^{\infty}$ absorbing set, using an $L^{\infty}$ bound for $w=u+\gamma v$ and higher-regularity estimates. It then shows that, when a positive constant steady state exists, all positive solutions converge to it as $t\to\infty$ provided the diffusion rate is sufficiently large, via a Lyapunov functional and energy-dissipation analysis. The paper also connects the time-nonstationary behavior to stationary bifurcation results, illustrating how small diffusion admits nonconstant steady states while large diffusion yields global attraction to the homogeneous steady state, thereby clarifying the large-time dynamics of nonlinear cross-diffusion ecological models.
Abstract
This paper is concerned with a diffusive Lotka-Volterra cooperative modelwith population flux by attractive transition. We study the time-global well-posedness and the large time behavior of solutions in a case where the habitat is a bounded convex domain and random diffusion rates equal to each other. A main result shows that when the spatial dimension is less than or equal to 3, under a weaker cooperative condition, a classical solution exists globally in time if the initial data belongs to a suitable functional space. Furthermore, it is shown that if there exists a positive steady state and the equal random diffusion rate is sufficiently large, then all positive solutions asymptotically approach the positive steady state as time tends to infinity.
