Biswas–Chatterjee–Sen Model Defined on Solomon Networks in (1 ≤ D ≤ 6)-Dimensional Lattices

The discrete version of the Biswas-Chatterjee-Sen model, defined on <i>D</i>-dimensional hypercubic Solomon networks, with 1≤D≤6, has been studied by means of extensive Monte Carlo simulations. Thermodynamic-like variables have been computed as a function of the external noise probability. Finite-size scaling theory, applied to different network sizes, has been utilized in order to characterize the phase transition of the system in the thermodynamic limit. The results show that the model presents a phase transition of the second order for all considered dimensions. Despite the lower critical dimension being zero, this dynamical system seems not to have any upper critical dimension since the critical exponents change with <i>D</i> and go away from the expected mean-field values. Although larger networks could not be simulated because the number of sites drastically increases with the dimension <i>D</i>, the scaling regime has been achieved when computing the critical exponent ratios and the corresponding critical noise probability.

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Publication Details

Journal
Entropy
Published
2025-03-14
DOI
https://doi.org/10.3390/e27030300
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

Biswas–Chatterjee–Sen Model Defined on Solomon Networks in (1 ≤ D ≤ 6)-Dimensional Lattices

Ronan S. Ferreira, Antônio Macedo-Filho, José F. S. Neto, J. A. Plascak et al.
Entropy
Theoretical and Computational Physics
article

Biswas–Chatterjee–Sen Model Defined on Solomon Networks in (1 ≤ D ≤ 6)-Dimensional Lattices

Ronan S. Ferreira, Antônio Macedo-Filho, José F. S. Neto, J. A. Plascak, G. A. Alves, F. W. S. Lima, Gessineide Sousa Oliveira, Tayroni Alencar Alves, D. S. M. Alencar
article en

Abstract

The discrete version of the Biswas-Chatterjee-Sen model, defined on <i>D</i>-dimensional hypercubic Solomon networks, with 1≤D≤6, has been studied by means of extensive Monte Carlo simulations. Thermodynamic-like variables have been computed as a function of the external noise probability. Finite-size scaling theory, applied to different network sizes, has been utilized in order to characterize the phase transition of the system in the thermodynamic limit. The results show that the model presents a phase transition of the second order for all considered dimensions. Despite the lower critical dimension being zero, this dynamical system seems not to have any upper critical dimension since the critical exponents change with <i>D</i> and go away from the expected mean-field values. Although larger networks could not be simulated because the number of sites drastically increases with the dimension <i>D</i>, the scaling regime has been achieved when computing the critical exponent ratios and the corresponding critical noise probability.

EntropyVol. 27(3)
Universidade Federal de Ouro Preto (BR), Universidade Federal de Minas Gerais (BR), University of Georgia (US), Universidade Federal da Paraíba (BR), Universidade Federal do Piauí (BR), Universidade Estadual do Piauí (BR)
Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Sustainable cities and communities
Openalex Percentile: Top 97%
Theoretical and Computational Physics
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Biswas–Chatterjee–Sen Model Defined on Solomon Networks in (1 ≤ D ≤ 6)-Dimensional Lattices — Ronan S. Ferreira, Antônio Macedo-Filho, et al. · Entropy (2025) | TGRS Research Map | TGRS