SciPost logo

SciPost Submission Page

Ergodic behaviors in reversible 3-state cellular automata

by Rustem Sharipov, Matija Koterle, Sašo Grozdanov, Tomaž Prosen

Submission summary

Authors (as registered SciPost users): Rustem Sharipov
Submission information
Preprint Link: https://arxiv.org/abs/2503.16593v2  (pdf)
Data repository: https://zenodo.org/records/17117722
Date submitted: Oct. 31, 2025, 2:55 p.m.
Submitted by: Rustem Sharipov
Submitted to: SciPost Physics
Ontological classification
Academic field: Physics
Specialties:
  • Condensed Matter Physics - Theory
  • Mathematical Physics
  • Statistical and Soft Matter Physics
Approaches: Theoretical, Computational
Disclosure of Generative AI use

The author(s) disclose that the following generative AI tools have been used in the preparation of this submission:

AI tools were used for grammar editing.

Abstract

Classical cellular automata represent a class of explicit discrete spacetime lattice models in which complex large-scale phenomena emerge from simple deterministic rules. With the goal to uncover different physically distinct classes of ergodic behavior, we perform a systematic study of three-state cellular automata (with a stable `vacuum' state and `particles' with $\pm$ charges). The classification is aided by the automata's different transformation properties under discrete symmetries: charge conjugation, spatial parity and time reversal. In particular, we propose a simple classification that distinguishes between types and levels of ergodic behavior in such system as quantified by the following observables: the mean return time, the number of conserved quantities, and the scaling of correlation functions. In each of the physically distinct classes, we present examples and discuss some of their phenomenology. This includes chaotic or ergodic dynamics, phase-space fragmentation, Ruelle-Pollicott resonances, existence of quasilocal charges, and anomalous transport with a variety of dynamical exponents.

Author indications on fulfilling journal expectations

  • Provide a novel and synergetic link between different research areas.
  • Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
  • Detail a groundbreaking theoretical/experimental/computational discovery
  • Present a breakthrough on a previously-identified and long-standing research stumbling block
Current status:
In refereeing

Login to report or comment