Analysis of instabilities and pattern formation in time fractional reaction-diffusion systems

TL;DR

This paper investigates how fractional derivatives influence pattern formation and instabilities in reaction-diffusion systems, revealing that fractional order significantly alters dynamics and pattern emergence compared to classical models.

Contribution

It provides a detailed analysis of Hopf and Turing instabilities in fractional systems, highlighting the role of eigenvalues and fractional order in pattern formation.

Findings

Fractional order affects the type of instability and system dynamics.

Pattern formation conditions differ from classical reaction-diffusion systems.

Fractional systems exhibit more complex transient dynamics.

Abstract

We analyzed conditions for Hopf and Turing instabilities to occur in two-component fractional reaction-diffusion systems. We showed that the eigenvalue spectrum and fractional derivative order mainly determine the type of instability and the dynamics of the system. The results of the linear stability analysis are confirmed by computer simulation of the model with cubic nonlinearity for activator variable and linear dependance for the inhibitor one. It is shown that pattern formation conditions of instability and transient dynamics are different than for a standard system. As a result, more complicated pattern formation dynamics takes place in fractional reaction-diffusion systems.