在一个简单的随机地图中过渡到异常动态
Jin Yan1, Moitrish Majumdar2, Stefano Ruffo3
1Weierstrass Institute for Applied Analysis and Stochastics, Mohrenstr. 39, 10117 Berlin, Germany and Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany.
Chaos (Woodbury, N.Y.)
|February 20, 2024
概括
这项研究探讨了一个随机动态系统,使用一个翻倍地图. 它揭示了从混乱到正规动态的关键过渡,标志着异常行为和权力法相关性.
科学领域:
- 动态系统 动态系统
- 混沌理论 混沌理论
- 统计物理 统计物理
背景情况:
- 翻倍地图是混乱动态的一个基本模型.
- 随机动态系统将确定性地图与概率抽样结合起来.
- 了解动态系统中的过渡对于各种科学领域至关重要.
研究的目的:
- 分析基于加倍地图的随机动态系统的不变密度和自相关函数.
- 作为采样概率的函数,研究从混乱动态向正规动态的过渡.
- 描述在临界采样概率下观察到的异常动态.
主要方法:
- 对不变密度和自相关函数的分析计算.
- 数字模拟用于验证分析结果.
- 扩张和收缩地图的采样概率 (p) 的变化.
主要成果:
- 随机动态系统表现出一个临界概率 (pc) 的过渡,其中Lyapunov指数为零.
- 在pc观察到异常的长时间动态,其特点是无限不变密度.
- 软弱的ergodicity破裂和权力规律的相关性衰变被认为是这种异常政权的标志.
结论:
- 研究的随机动态系统显示了混乱和正常行为之间的非微不足道的过渡.
- 关键抽样概率导致具有独特统计性质的异常动态.
- 这项工作提供了对随机系统及其转换的复杂动态的洞察.
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