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Dynamics of reaction-diffusion systems in a subdiffusive regime.

D Hernández1, C Varea, R A Barrio

  • 1Instituto de Fisica, Universidad Nacional Autónoma de México (UNAM), Apartado Postal 20-364 01000 México, D.F., Mexico.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 28, 2009
PubMed
Summary

Fractional time derivatives in reaction-diffusion systems lead to anomalous subdiffusion. This research relaxes Turing instability conditions, enabling pattern formation in non-activator-inhibitor systems.

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Area of Science:

  • Complex Systems
  • Nonlinear Dynamics
  • Mathematical Biology

Background:

  • Reaction-diffusion systems are fundamental to pattern formation.
  • Anomalous diffusion, particularly subdiffusion, deviates from classical Fickian diffusion.
  • Turing instabilities typically require specific activator-inhibitor kinetics.

Purpose of the Study:

  • To investigate reaction-diffusion dynamics with fractional time derivatives.
  • To analyze the implications of anomalous subdiffusion on pattern formation.
  • To explore the relaxed conditions for Turing instabilities.

Main Methods:

  • Mathematical modeling of reaction-diffusion systems.
  • Analysis of fractional time derivatives and their impact on diffusion.
  • Numerical simulations in two dimensions using a generic Turing model.

Main Results:

  • Fractional time derivatives induce anomalous subdiffusion (mean-square displacement ~ t^gamma, gamma<1).
  • The conditions for diffusion-driven instabilities, including Turing instabilities, are significantly relaxed.
  • Pattern formation (Turing instability) is possible in systems without activator-inhibitor kinetics.

Conclusions:

  • Fractional dynamics offer a broader framework for understanding pattern formation.
  • Subdiffusion can facilitate instabilities previously thought impossible.
  • This work expands the scope of systems exhibiting Turing patterns.