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Turing instabilities in reaction-diffusion systems with cross diffusion

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  • Duccio Fanelli
  • Claudia Cianci
  • Francesca Patti

Abstract

The Turing instability paradigm is revisited in the context of a multispecies diffusion scheme derived from a self-consistent microscopic formulation. The analysis is developed with reference to the case of two species. These latter share the same spatial reservoir and experience a degree of mutual interference due to the competition for the available resources. Turing instability can set in for all ratios of the main diffusivities, also when the (isolated) activator diffuses faster then the (isolated) inhibitor. This conclusion, at odd with the conventional vision, is here exemplified for the Brusselator model and ultimately stems from having assumed a generalized model of multispecies diffusion, fully anchored to first principles, which also holds under crowded conditions. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Duccio Fanelli & Claudia Cianci & Francesca Patti, 2013. "Turing instabilities in reaction-diffusion systems with cross diffusion," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(4), pages 1-8, April.
  • Handle: RePEc:spr:eurphb:v:86:y:2013:i:4:p:1-8:10.1140/epjb/e2013-30649-7
    DOI: 10.1140/epjb/e2013-30649-7
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    Cited by:

    1. Di Patti, Francesca & Fanelli, Duccio & Miele, Filippo & Carletti, Timoteo, 2017. "Benjamin–Feir instabilities on directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 96(C), pages 8-16.
    2. Flores, J.C., 2020. "Game theory approach to sterile release populations and replicator dynamics: Niche fragmentation and resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    3. Liu, Haicheng & Ge, Bin & Shen, Jihong, 2022. "Dynamics of periodic solutions in the reaction-diffusion glycolysis model: Mathematical mechanisms of Turing pattern formation," Applied Mathematics and Computation, Elsevier, vol. 431(C).

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    Keywords

    Statistical and Nonlinear Physics;

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