用于建模周期性信息流的一般化乱函数
1Department of Mathematical and Computational Sciences, University of Toronto, Mississauga, ON L5L 1C6, Canada.
Entropy (Basel, Switzerland)
|June 26, 2025
概括
本研究介绍了乱运算符来建模周期性信息流. 这些操作员分析信息拓和动态,揭示复杂系统的长期行为.
科学领域:
- 信息理论是信息理论.
- 非平衡的统计力学.
- 动态系统是动态系统.
背景情况:
- 传统的缩量,如香农缩量,是尺度的,不能捕捉到地形信息.
- 建模循环和反驱动的信息流需要先进的分析工具.
- 了解复杂系统中的信息演变对于各种科学领域至关重要.
研究的目的:
- 引入一个通用的功能框架来建模循环和反驱动的信息流.
- 为拓信息表示开发直接作用于概率密度的变态运算符.
- 为了解周期结构和随机系统中信息的长期动态提供分析工具.
主要方法:
- 发展一个泛化家族的变态变运算符.
- 运用由非线性微分方程控制的函数转换.
- 操作员的递归应用诱导由热方程控制的光谱扩散过程.
主要成果:
- 德兰格运算符在概率分布支持中提供了信息的地形表示.
- 该框架捕捉了信息演变的周期性和自我引用性方面.
- 递归应用导致光谱扩散趋于高斯特征函数,为长期动态建立了分析基础.
结论:
- 拟议的框架为分析周期结构,随机反和延迟交互的系统中的时间信息演变提供了新的工具.
- 潜在的应用包括人工神经网络,通信理论和非平衡统计力学.
- 收结果为理解循环调制下的信息动态提供了理论基础.
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