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Information Thermodynamics of Turing Patterns

Gianmaria Falasco, Riccardo Rao, and Massimiliano Esposito
Phys. Rev. Lett. 121, 108301 – Published 4 September 2018

Abstract

We set up a rigorous thermodynamic description of reaction-diffusion systems driven out of equilibrium by time-dependent space-distributed chemostats. Building on the assumption of local equilibrium, nonequilibrium thermodynamic potentials are constructed exploiting the symmetries of the chemical network topology. It is shown that the canonical (resp. semigrand canonical) nonequilibrium free energy works as a Lyapunov function in the relaxation to equilibrium of a closed (resp. open) system, and its variation provides the minimum amount of work needed to manipulate the species concentrations. The theory is used to study analytically the Turing pattern formation in a prototypical reaction-diffusion system, the one-dimensional Brusselator model, and to classify it as a genuine thermodynamic nonequilibrium phase transition.

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  • Received 14 March 2018
  • Revised 15 June 2018

DOI:https://doi.org/10.1103/PhysRevLett.121.108301

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics

Authors & Affiliations

Gianmaria Falasco, Riccardo Rao, and Massimiliano Esposito

  • Complex Systems and Statistical Mechanics, Physics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg

Article Text

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Supplemental Material

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References

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Issue

Vol. 121, Iss. 10 — 7 September 2018

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