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Published on: May 1, 2018
Diffusive instability in hyperbolic reaction-diffusion equation with different inertia
Santu Ghorai1, Swarup Poria2, Nandadulal Bairagi1
1Centre for Mathematical Biology and Ecology, Department of Mathematics, Jadavpur University, Raja Subodh Chandra Mallick Road, Kolkata 700032, India.
This study investigates instabilities in hyperbolic reaction-diffusion systems with varying inertia. Wave instability is possible with different inertias, unlike in parabolic systems, and Turing instability is inertia-independent.
Area of Science:
- Mathematical Biology
- Chemical Kinetics
- Nonlinear Dynamics
Background:
- Reaction-diffusion systems are fundamental models in biological and chemical pattern formation.
- Hyperbolic systems incorporate inertia, offering distinct dynamics from traditional parabolic models.
- Understanding instabilities is crucial for predicting pattern emergence.
Purpose of the Study:
- To analyze wave, Turing, and Hopf instabilities in a 2D hyperbolic reaction-diffusion system with differing inertia.
- To theoretically and numerically determine criteria for these instabilities.
- To compare the behavior of hyperbolic systems with their parabolic counterparts.
Main Methods:
- Theoretical analysis of stability criteria.
- Numerical simulations of the reaction-diffusion system.
- Application of the Schnakenberg system as a local interaction model.
Main Results:
- Wave instability can occur in hyperbolic systems with different inertias and equal diffusivities, a scenario impossible in parabolic systems.
- Wave instability is possible in two-species hyperbolic systems with identical inertia if diffusion coefficients differ.
- Turing instability is independent of inertia, but local system stability is inertia-dependent.
Conclusions:
- Inertia plays a significant role in wave instability in hyperbolic reaction-diffusion systems.
- The distinct dynamics of hyperbolic systems allow for instabilities not observed in parabolic systems.
- The findings provide insights into pattern formation mechanisms influenced by inertial effects.
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