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Communications in Mathematical Physics

, Volume 125, Issue 1, pp 127–145 | Cite as

Hydrodynamics of stochastic cellular automata

  • A. DeMasi
  • R. Esposito
  • J. L. Lebowitz
  • E. Presutti
Article

Abstract

We investigate a stochastic version of cellular automata used for simulating hydrodynamical flows, e.g. the HPP and FHP models. The extra stochasticity consists of “random exchanges” between neighboring cells which conserve momentum. We prove that, in suitable limits, these models satisfy the appropriate continuous Boltzmann and hydrodynamic equations, the same as those conjectured for the original models (except that there is no negative viscosity contribution). The results are obtained by proving a very strong form of propagation of chaos and by using Hilbert-Chapman-Enskog type expansions. Explicit proofs are presented for the stochastic HPP model.

Keywords

Viscosity Neural Network Original Model Cellular Automaton Quantum Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1989

Authors and Affiliations

  • A. DeMasi
    • 1
  • R. Esposito
    • 1
  • J. L. Lebowitz
    • 1
  • E. Presutti
    • 1
  1. 1.IHESBures sur YvetteFrance

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