随机债券稀释网格上随机 SIR 模型的临界行为

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2024-06-24 DOI:10.1007/s10955-024-03295-8
Carlos Handrey A. Ferraz, José Luiz S. Lima
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引用次数: 0

摘要

本文研究了键稀释无序对随机 SIR 模型临界行为的影响。我们使用具有第一和第二近邻相互作用的方晶格进行了蒙特卡罗模拟。在系统中引入了淬火键稀释晶格无序,使其随时间演变。通过采用渗流理论和有限尺寸缩放分析,我们估算出了该模型在不同键稀释率(p)下的临界阈值和领先临界指数比。为了确定该模型的普遍性,我们还考察了渗流簇的平均大小和恢复个体的非渗流簇的大小分布。模拟结果有力地表明,根据所考虑的特定 p 值,本模型属于一个新的普遍性类别,不同于二维动态渗滤的普遍性类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Critical Behavior of the Stochastic SIR Model on Random Bond-Diluted Lattices

In this paper, we investigate the impact of bond-dilution disorder on the critical behavior of the stochastic SIR model. Monte Carlo simulations were conducted using square lattices with first- and second-nearest neighbor interactions. Quenched bond-diluted lattice disorder was introduced into the systems, allowing them to evolve over time. By employing percolation theory and finite-size scaling analysis, we estimate both the critical threshold and leading critical exponent ratios of the model for different bond-dilution rates (p). An examination of the average size of the percolating cluster and the size distribution of non-percolating clusters of recovered individuals was performed to ascertain the universality class of the model. The simulation results strongly indicate that the present model belongs to a new universality class distinct from that of 2D dynamical percolation, depending on the specific p value under consideration.

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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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