在随机图表上的零温度Ising模型中的顺序-混乱过渡
Armin Pournaki1,2,3, Eckehard Olbrich1, Sven Banisch4
1Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany.
Physical review. E
|June 17, 2023
概括
随着图形密度的下降,随机图的零温度Ising模型从有序向无序状态的过渡. 这项研究揭示了双稳定性和非单调的吸收时间,这对于网络动态至关重要.
科学领域:
- 统计物理学的统计物理.
- 网络科学 网络科学
- 计算物理学的计算物理.
背景情况:
- 零温度的伊辛格模型在密集的与稀疏的随机图表中表现出不同的行为.
- 在密集的图形中,它达到有序的基本状态,而稀疏的图形则导致接近零磁化的无序动态.
研究的目的:
- 在随机图表上研究伊辛格模型中的不平衡过渡.
- 描述系统的行为,包括 bistability 和吸收时间,作为平均程度和系统大小的函数.
主要方法:
- 在随机图表上对零温度Ising模型的模拟.
- 对磁化动态和吸收时间的分析.
- 对过渡点和系统稳定性的调查.
主要成果:
- 不平衡过渡发生在与图形大小相变的平均程度上.
- 该系统表现出双稳定性,磁化分布在零和单位达到峰值.
- 平均吸收时间显示非单调的行为与平均程度和尺度与系统大小.
结论:
- 该研究确定了在稀疏的随机图中过渡的关键平均度.
- 双面性和复杂的吸收时间动态是这种不平衡过渡的关键特征.
- 调查结果与了解社区检测,意见动态和网络上的游戏有关.
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