Journal of Statistical Physics

, Volume 80, Issue 3, pp 517–543

Ballistic annihilation and deterministic surface growth

  • Vladimir Belitsky
  • Pablo A. Ferrari
Articles

DOI: 10.1007/BF02178546

Cite this article as:
Belitsky, V. & Ferrari, P.A. J Stat Phys (1995) 80: 517. doi:10.1007/BF02178546

Abstract

A model of deterministic surface growth studied by Krug and Spohn, a model of the annihilating reactionA+B→inert studied by Elskens and Frisch, a one-dimensional three-color cyclic cellular automaton studied by Fisch, and a particular automaton that has the number 184 in the classification of Wolfram can be studied via a cellular automaton with stochastic initial data called ballistic annihilation. This automaton is defined by the following rules: At timet=0, one particle is put at each integer point of ℝ. To each particle, a velocity is assigned in such a way that it may be either +1 or −1 with probabilities 1/2, independent of the velocities of the other particles. As time goes on, each particle moves along ℝ at the velocity assigned to it and annihilates when it collides with another particle. In the present paper we compute the distribution of this automaton for each timet ∈ ℕ. We then use this result to obtain the hydrodynamic limit for the surface profile from the model of deterministic surface growth mentioned above. We also show the relation of this limit process to the process which we call moving local minimum of Brownian motion. The latter is the processBxmin,x ∈ ℝ, defined byBxmin≔min{By;x−1≤yx+1} for everyx ∈ ℝ, whereBx,x ∈ ℝ, is the standard Brownian motion withB0=0.

Key Words

Cellular automatondeterministic model of surface growthballistic annihilationthree-color cyclic cellular automatonannihilating two-species reactionhydrodynmic limitmoving local minimum of Brownian motion

Copyright information

© Plenum Publishing Corporation 1995

Authors and Affiliations

  • Vladimir Belitsky
    • 1
  • Pablo A. Ferrari
    • 1
  1. 1.Instituto de Matematica e EstatísticaUniversidade de São PauloSão PauloBrazil