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随机templex编码在噪音驱动的混乱动态中拓性的临界点.
Gisela D Charó1,2,3, Michael Ghil4,5,6, Denisse Sciamarella1,3,7
1Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, C1428EGA, Buenos Aires, Argentina.
Chaos (Woodbury, N.Y.)
|October 30, 2023
概括
这项研究引入了随机模板,这是分析混乱系统的新数学工具. 随机模板通过跟踪随时间变化的结构来揭示动态系统中的临界点.
科学领域:
- 动态系统理论 动态系统理论
- 混沌理论 混沌理论
- 随机过程 随机过程
背景情况:
- 随机吸引子是混沌和扰乱系统中的时间演变的回退吸引子.
- 分支多重分析和templexes (带二图的细胞复合体) 描述了决定性的混乱吸引力.
- 现有的方法缺乏一个框架来分析随机吸引子的时间演变.
研究的目的:
- 介绍随机模板的概念和数学框架.
- 开发一种方法来分析随机吸引子的时间结构.
- 在随机动态系统中识别和描述转折点.
主要方法:
- 定义随机templexes作为细胞复合体的序列,每一个代表随机吸引器的快照.
- 使用定向图 (二图) 连接连续细胞复合体的生成器 (孔).
- 将随机的templex框架应用于噪音驱动的洛伦茨系统.
主要成果:
- 随机templexes提供了一个随机吸引力的时间描述.
- 倾斜点表现为随机的孔中的显著变化 (诞生,分裂,合并,死亡).
- 噪音驱动的洛伦茨系统的随机吸引器使用随机模板成功计算.
结论:
- 随机模板为理解随机吸引力的动态提供了一种新的方法.
- 这一框架允许在随机系统中识别关键过渡 (临界点).
- 该研究提供了一种分析复杂,时间变化的混乱行为的计算方法.
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