Abstract
We prove algorithmical unsolvability of the ergodicity problem for a class of one-dimensional translation-invariant random processes with local interaction with continuous time, also known as interacting particle systems. The set of states of every component is finite, the interaction occurs only between nearest neighbors, only one particle can change its state at a time and all rates are 0 or 1.
Similar content being viewed by others
REFERENCES
Thomas M. Liggett, Interacting Particle Systems (Springer, 1985).
G. Kurdyumov, An algorithm-theoretic method in studying homogeneous random networks, in Locally Interacting Systems and Their Application in Biology, R. Dobrushin, V. Kryukov, and A. Toom, eds., Lecture Notes in Mathematics, Vol. 653 (Springer, 1978), pp. 37–55.
G. Kurdyumov, An algorithm-theoretic method for the study of homogeneous random networks, Adv. Probab. 6:471–504 (1980).
A. Toom, N. Vasilyev, O. Stavskaya, L. Mityushin, G. Kurdyumov, and S. Pirogov, Discrete Local Markovj Systems, in Stochastic Cellular Systems: Ergodicity, Memory, Morphogenesis, R. Dobrushin, V. Kryukov, and A. Toom, eds., Nonlinear Science: Theory and Applications (Manchester University Press, 1990), pp. 1–182.
P. Berman and J. Simon, Investigations of Fault-Tolerant Networks of Computers (preliminary version), Proc. of the 20th Annual ACM Symp. on the Theory of Computing (1988), pp. 66–77.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Toom, A. Algorithmical Unsolvability of the Ergodicity Problem for Locally Interacting Processes with Continuous Time. Journal of Statistical Physics 98, 495–501 (2000). https://doi.org/10.1023/A:1018699527637
Issue Date:
DOI: https://doi.org/10.1023/A:1018699527637