不平衡数据二元内在维度的家族-维塞克普遍性
Roberto Verdel1, Devendra Singh Bhakuni1, Santiago Acevedo2
1The Abdus Salam International Centre for Theoretical Physics (ICTP), Strada Costiera 11, 34151 Trieste, Italy.
Physical review. E
|November 18, 2025
概括
我们引入二进制内在维度 (BID) 来分析不平衡系统. 这种方法揭示了基本的物理信息和生长动态数据的动态缩放,提供了新的表征方法.
科学领域:
- 复杂的系统复杂的系统.
- 统计物理 统计物理
- 数据分析 数据分析
背景情况:
- 本质维度 (ID) 是为了分析平衡系统而建立的.
- 在不平衡系统中,ID的应用是有限的.
- 不平衡的增长动态带来了复杂的数据挑战.
研究的目的:
- 探索内在维度 (ID) 对不平衡增长动态数据的应用.
- 调查二进制内在维度 (BID) 是否保留复杂数据中的物理信息.
- 评估BID在描述失衡系统方面的潜力.
主要方法:
- 计算不平衡增长动态数据的内在维度 (ID).
- 将数据减少到二进制形式,以计算二进制内在维度 (BID).
- 分析BID的相关性和缩放性质.
主要成果:
- 二元内在维度 (BID) 有效地保留了非平衡数据中的关键物理信息.
- BID展示了Family-Vicsek动态缩放,类似于表面宽度.
- 这种缩放是表面粗现象普遍性的关键特征.
结论:
- 二元内在维度 (BID) 是分析不平衡系统的可行工具.
- BID可以在失衡动态中辨别关键属性和相关性.
- 这项工作为描述远离平衡的复杂系统开辟了新的途径.
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