Pattern formation of Brusselator in the reaction-diffusion system

Abstract

<p style='text-indent:20px;'>Time delay profoundly impacts reaction-diffusion systems, which has been considered in many areas, especially infectious diseases, neurodynamics, and chemistry. This paper aims to investigate the pattern dynamics of the reaction-diffusion model with time delay. We obtain the condition in which the system induced the Hopf bifurcation and Turing instability as the parameter of the diffusion term and time delay changed. Meanwhile, the amplitude equation of the reaction-diffusion system with time delay is also derived based on the Friedholm solvability condition and the multi-scale analysis method near the critical point of phase transition. We discussed the stability of the amplitude equation. Theoretical results demonstrate that the delay can induce rich pattern dynamics in the Brusselator reaction-diffusion system, such as strip and hexagonal patterns. It is evident that time delay causes steady-state changes in the spatial pattern under certain conditions but does not cause changes in pattern selection under certain conditions. However, diffusion and delayed feedback affect pattern formation and pattern selection. This paper provides a feasible method to study reaction-diffusion systems with time delay and the development of the amplitude equation. The numerical simulation well verifies and supports the theoretical results.</p>

Pattern Dynamics in a Predator‐Prey Model with Diffusion Network

“…Since the Lotka-Volterra model was proposed in the early twentieth century, some biological mechanisms were explained in the predator-prey system [12][13][14][15][16][17][18]. Chang et al researched the dynamics in the predator-prey system on complex networks and found that Turing instability caused by delay can generate spiral waves [19].…”