The Random Domino Automaton on the Bethe Lattice and Power-Law Cluster-Size Distributions

The Random Domino Automaton-a stochastic cellular automaton forest-fire model-is formulated for the Bethe lattice geometry. The equations describing the stationary state of the system are derived using combinatorial analysis. The special choice of parameters that define the dynamics of the system leads to a solvable reduction in the set of equations. Analysis of the equations shows that by changing the parameter responsible for cluster removal, the size distribution of clusters smoothly transitions from (near) exponential to inverse power, beyond which the system is unstable. The analysis shows the crucial role of combining more than two clusters in elongating the tail of the size distribution generated by the system and, thus, in increasing the range of validity of the inverse power law. We also point out an interesting connection of the proposed model with Catalan-like integer sequences.

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Publication Details

Journal
Entropy
Published
2025-12-03
DOI
https://doi.org/10.3390/e27121226
Primary Topic
Cellular Automata and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The Random Domino Automaton on the Bethe Lattice and Power-Law Cluster-Size Distributions

Yohei Tutiya, Arpan Bagchi, Mariusz Białecki
Entropy
Cellular Automata and Applications
article

The Random Domino Automaton on the Bethe Lattice and Power-Law Cluster-Size Distributions

Yohei Tutiya, Arpan Bagchi, Mariusz Białecki
article en

Abstract

The Random Domino Automaton-a stochastic cellular automaton forest-fire model-is formulated for the Bethe lattice geometry. The equations describing the stationary state of the system are derived using combinatorial analysis. The special choice of parameters that define the dynamics of the system leads to a solvable reduction in the set of equations. Analysis of the equations shows that by changing the parameter responsible for cluster removal, the size distribution of clusters smoothly transitions from (near) exponential to inverse power, beyond which the system is unstable. The analysis shows the crucial role of combining more than two clusters in elongating the tail of the size distribution generated by the system and, thus, in increasing the range of validity of the inverse power law. We also point out an interesting connection of the proposed model with Catalan-like integer sequences.

EntropyVol. 27(12)
Kanagawa Institute of Technology (JP), Institute of Geophysics Polish Academy of Sciences (PL)
Japan Society for the Promotion of Science
Openalex Percentile: Top 62%
Cellular Automata and Applications
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