Gessineide Sousa Oliveira, David Santana Alencar, Tayroni Alencar Alves, José Ferreira da Silva Neto, Gladstone Alencar Alves, Antônio Macedo-Filho, Ronan S Ferreira, Francisco Welington Lima, João Antônio Plascak
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引用次数: 0
Abstract
The discrete version of the Biswas-Chatterjee-Sen model, defined on D-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 D 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 D, the scaling regime has been achieved when computing the critical exponent ratios and the corresponding critical noise probability.
通过大量蒙特卡洛模拟,研究了在 1≤D≤6 的 D 维超立方所罗门网络上定义的离散版 Biswas-Chatterjee-Sen 模型。热力学类变量是作为外部噪声概率的函数来计算的。为了描述该系统在热力学极限下的相变特征,利用了适用于不同网络尺寸的有限尺寸缩放理论。结果表明,该模型在所有考虑的维度上都出现了二阶相变。尽管下临界维度为零,但由于临界指数随 D 的变化而变化,并偏离了预期的平均场值,因此该动力学系统似乎不存在任何上临界维度。虽然无法模拟更大的网络,因为随着维数 D 的增加,点的数量也会急剧增加,但在计算临界指数比和相应的临界噪声概率时,已经实现了缩放机制。
期刊介绍:
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.