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Updated: Aug 12, 2025

Magnetically Induced Rotating Rayleigh-Taylor Instability
Published on: March 3, 2017
conditions for Turing and wave instabilities in reaction-diffusion systems.
Edgardo Villar-Sepúlveda1, Alan R Champneys2
1Engineering Mathematics, University of Bristol, Ada Lovelace Building, Tankard's Cl, University Walk, Bristol, Somerset, BS8 1TW, UK. edgardo.villar-sepulveda@bristol.ac.uk.
This study provides conditions for diffusion-driven instabilities in reaction-diffusion systems, enabling the selection of diffusion constants for Turing or wave instabilities. These findings are demonstrated on models like the FitzHugh-Nagumo system.
Area of Science:
- Chemical kinetics
- Mathematical modeling
- Nonlinear dynamics
Background:
- Reaction-diffusion systems are crucial for modeling spatially extended phenomena.
- Understanding instabilities is key to predicting pattern formation and system behavior.
- Previous work established conditions for Turing bifurcations but lacked constructive methods for parameter selection.
Purpose of the Study:
- To establish necessary and sufficient conditions for diffusion-driven instabilities in n-component reaction-diffusion systems.
- To develop a constructive method for selecting diffusion constants that induce Turing or wave instabilities.
- To illustrate these conditions using established models.
Main Methods:
- Analysis of dispersion relations in the limits of zero and infinite wavenumber.
- Derivation of conditions for Turing and wave instabilities.
- Application of the method to FitzHugh-Nagumo-like and Brusselator systems.
Main Results:
- Necessary and sufficient conditions for diffusion-driven instabilities (Turing or wave) are derived.
- A constructive approach for choosing diffusion constants is presented.
- The method successfully reproduces known conditions for Turing bifurcations and provides new insights.
Conclusions:
- The study offers a robust framework for analyzing and predicting instabilities in reaction-diffusion systems.
- The developed method facilitates the design of systems exhibiting specific spatiotemporal patterns.
- The findings are broadly applicable to various chemical and biological systems modeled by reaction-diffusion equations.
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