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阿贝尔沙堆的平均高度和Sierpiński图表上的循环常数
Nico Heizmann1, Robin Kaiser2, Ecaterina Sava-Huss2
1Department of Mathematics, Chemnitz University of Technology, Chemnitz, Germany.
概括
我们在Sierpiński图表上研究了阿贝尔沙堆模型,计算了平均高度和高度概率. 我们的发现将沙堆行为与统一的跨树和循环常数联系起来.
科学领域:
- 复杂的系统复杂的系统.
- 图形理论 图形理论
- 统计力学 统计力学
背景情况:
- 阿贝尔沙堆模型是自我组织的批判性的基本概念.
- 塞尔宾斯基图表表现出与复杂网络分析相关的碎形属性.
研究的目的:
- 在Sierpiński图表上研究阿贝尔沙堆模型的统计数据.
- 计算反复出现的沙堆的预期平均高度和高度概率.
- 将沙堆行为与统一的跨越树和循环常数联系起来.
主要方法:
- 在阿贝尔沙堆马尔科夫链中反复配置的分析.
- 在静止状态下计算高度概率的算法方法.
- 利用沙堆和统一跨越树之间的连接.
主要成果:
- 在有限的Sierpiński封装代中计算了反复发生的沙堆的预期平均高度.
- 开发了一个用于静止高度概率的算法.
- 确定具有特定高度的顶点的预期分数.
结论:
- 建立了反复出现的沙堆配置和统一跨越树之间的联系.
- 将散装的平均高度与Sierpiński密封件的循环常数联系起来.
- 提供了关于碎形结构上沙堆的统计性质的见解.
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