On Interactions for Large Scale Interacting Systems

Abstract Statistical mechanics explains the properties of macroscopic phenomena based on the movements of microscopic particles such as atoms and molecules. Movements of microscopic particles can be represented by large-scale interacting systems. In this article, we systematically study combinatorial objects which we call interactions , given as symmetric directed graphs representing the possible transitions of states on adjacent sites of large-scale interacting systems. Such interactions underlie various standard stochastic processes such as the exclusion processes , generalized exclusion processes , multi-species exclusion processes , lattice gas with energy processes , and the multi-lane exclusion processes . We introduce the notion of equivalences of interactions using their space of conserved quantities. This allows for the classification of interactions reflecting the expected macroscopic properties. In particular, we prove that when the set of local states consists of two , three or four elements, then the number of equivalence classes of separable interactions are respectively one , two and five . We also define the wedge sums and box products of interactions, which give systematic methods for constructing new interactions from existing ones. Furthermore, we prove that the irreducibly quantified condition for interactions, which implicitly plays an important role in the theory of hydrodynamic limits, is preserved by wedge sums and box products. Our results provide a systematic method to construct and classify interactions, offering abundant examples suitable for considering hydrodynamic limits.

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Publication Details

Journal
Journal of Statistical Physics
Published
2026-01-05
DOI
https://doi.org/10.1007/s10955-025-03550-6
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

On Interactions for Large Scale Interacting Systems

Makiko Sasada, Kenichi Bannai, Hidetada Wachi, Jun Koriki et al.
Journal of Statistical Physics
Stochastic processes and statistical mechanics
article

On Interactions for Large Scale Interacting Systems

Makiko Sasada, Kenichi Bannai, Hidetada Wachi, Jun Koriki, Shuji Yamamoto
article en

Abstract

Abstract Statistical mechanics explains the properties of macroscopic phenomena based on the movements of microscopic particles such as atoms and molecules. Movements of microscopic particles can be represented by large-scale interacting systems. In this article, we systematically study combinatorial objects which we call interactions , given as symmetric directed graphs representing the possible transitions of states on adjacent sites of large-scale interacting systems. Such interactions underlie various standard stochastic processes such as the exclusion processes , generalized exclusion processes , multi-species exclusion processes , lattice gas with energy processes , and the multi-lane exclusion processes . We introduce the notion of equivalences of interactions using their space of conserved quantities. This allows for the classification of interactions reflecting the expected macroscopic properties. In particular, we prove that when the set of local states consists of two , three or four elements, then the number of equivalence classes of separable interactions are respectively one , two and five . We also define the wedge sums and box products of interactions, which give systematic methods for constructing new interactions from existing ones. Furthermore, we prove that the irreducibly quantified condition for interactions, which implicitly plays an important role in the theory of hydrodynamic limits, is preserved by wedge sums and box products. Our results provide a systematic method to construct and classify interactions, offering abundant examples suitable for considering hydrodynamic limits.

Journal of Statistical PhysicsVol. 193(1)
Shimane University (JP), Keio University (JP), RIKEN Center for Advanced Intelligence Project (JP), The University of Tokyo (JP)
Keio University, University of Tokyo, Soochow University, RIKEN
Reduced inequalities
Openalex Percentile: Top 93%
Stochastic processes and statistical mechanics
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