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在具有单个输入陷的树状图上计数路径:临界行为和有限尺寸效应
Alexey V Gulyaev1, Mikhail V Tamm2
1Independent Researcher, 119234 Moscow, Russia.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
最大随机步行定位在高度节点上. 这项研究分析了正规树上的路径计数,揭示了正规随机图中的步骤函数分布和关键减速.
科学领域:
- 图形理论 图形理论
- 统计物理 统计物理
- 网络科学 网络科学
背景情况:
- 在图形上最大随机走路和路径计数通常显示在高度节点附近的局部化.
- 这种现象的一个简单模型涉及一个有独特根节点的正规树.
研究的目的:
- 在正规树模型中进行本地化过渡时对路径计数进行深入研究.
- 分析从无限树和正则随机图 (RRGs) 中从根开始的路径的行为.
主要方法:
- 路径终点概率分布函数的分析.
- 在无限树和有限的RRG上随机走路的数学建模.
- 研究本地化过渡和关键现象.
主要成果:
- 对于无限树,路径终点分布是一个以恒定速度移动的步骤函数v={p-2}/p.
- 在有限的RRG中,发生了临界减速,放松到平衡,采取O (n) 轨迹长度.
- 精确计算了平衡分布,放松时间和缓慢放松模式.
结论:
- 这项研究提供了一个详细的了解在树状结构上的随机步行中局部化现象.
- 研究结果阐明了无限与有限的图设置中的不同行为,特别是在过渡点.
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