Abstract
Probabilistic cellular automata (PCA) are simple models used to study dynamical phase transitions. There exist mean field approximations to PCA that can be shown to exhibit a phase transition. We introduce a model interpolating between a class of PCA, called majority voters, and their corresponding mean field models. Using graphical methods, we prove that this model undergoes a phase transition.
Similar content being viewed by others
References
Balister, P., Bollobás, B., Kozma, R:. Large deviations for mean field models of probabilistic cllularaAutomata. Random Struct. Algorithms 29, 399–415 (published online 2006)
Kozma, R., Puljic, M., Balister, P., Bollobás, B., Freeman, W.: Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biol. Cybern. 92, 367–379 (2005)
Lebowitz, J.L., Penrose, O.: Rigorous treatment of the Van Der Waals–Maxwell theory of the liquid vapor transition. J. Math. Phys. 7, 98–113 (1966)
Maes, C., Lebowitz, J.L., Speer, E.R.: Statistical mechanics of probabilistic cellular automata. J. Stat. Phys. 59, 117–170 (1990)
Toom, A.: Stable and attractive trajectories in multicomponent systems. In: Dobrushin, R.L., Sinai, Ya. G. (eds.) Multicomponent Random Systems. Advances in Probability and Related Topics, vol. 6, pp. 549–575. Dekker (1980)
Acknowledgments
This work is partially funded by the Belgian Interuniversity Attraction Pole, P7/18 and by Iniciativa Científica Milenio, ICM (Chile), through the Millenium Nucleus RC120002 “Física Matemática”.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bricmont, J., Van Den Bosch, H. Intermediate Model Between Majority Voter PCA and Its Mean Field Model. J Stat Phys 158, 1090–1099 (2015). https://doi.org/10.1007/s10955-014-1037-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10955-014-1037-4