Stochastic Turing patterns in the Brusselator model

Tommaso Biancalani, Duccio Fanelli, and Francesca Di Patti
Phys. Rev. E 81, 046215 – Published 27 April 2010
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Abstract
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  • INTRODUCTION
  • SPATIAL VERSION OF THE BRUSSELATOR MODEL
  • MEAN-FIELD APPROXIMATION AND THE TURING…
  • ROLE OF STOCHASTIC NOISE AND THE POWER…
  • CONCLUSION
  • ACKNOWLEDGEMENTS
  • APPENDICES
  • References
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    Abstract

    A stochastic version of the Brusselator model is proposed and studied via the system size expansion. The mean-field equations are derived and shown to yield to organized Turing patterns within a specific parameters region. When determining the Turing condition for instability, we pay particular attention to the role of cross-diffusive terms, often neglected in the heuristic derivation of reaction-diffusion schemes. Stochastic fluctuations are shown to give rise to spatially ordered solutions, sharing the same quantitative characteristic of the mean-field based Turing scenario, in term of excited wavelengths. Interestingly, the region of parameter yielding to the stochastic self-organization is wider than that determined via the conventional Turing approach, suggesting that the condition for spatial order to appear can be less stringent than customarily believed.

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    • Received 26 October 2009

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    Authors & Affiliations

    Tommaso Biancalani

    • Dipartimento di Fisica, Università degli Studi di Firenze, via G. Sansone 1, 50019 Sesto Fiorentino, Florence, Italy

    Duccio Fanelli

    • Dipartimento di Energetica, Università degli Studi di Firenze, via S. Marta 3, 50139 Florence, Italy and INFN, Sezione di Firenze, via G. Sansone 1, 50019 Sesto Fiorentino, Florence, Italy

    Francesca Di Patti

    • Dipartimento di Fisica “Galileo Galilei,” Università degli Studi di Padova, via F. Marzolo 8, 35131 Padova, Italy

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    Vol. 81, Iss. 4 — April 2010

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