一种递归方法,用于在消散型一维映射的参数空间中找到极端和超稳定曲线
Diogo Ricardo da Costa1, Luam Silva de Paiva1, Julia G S Rocha1
1Department of Physics, São Paulo State University-UNESP, 13506-900 Rio Claro, SP, Brazil.
Chaos (Woodbury, N.Y.)
|February 18, 2025
概括
一种新的递归方法在一维地图中识别了极端和超稳定的曲线,使用阿基米德螺旋和两截. 这种方法有助于理解动态系统中复杂的周期加法结构.
科学领域:
- 动态系统和混沌理论
- 非线性动力学是一种非线性动力学.
- 计算物理 计算物理
背景情况:
- 一维地图是混沌理论中的基本模型.
- 在参数空间中识别周期结构对于理解地图行为至关重要.
- 现有的方法可能会在复杂的周期性方面扎.
研究的目的:
- 开发一种新的递归方法来识别极端和超稳定曲线.
- 分析消散的单维地图中周期加法结构的形成.
- 为探索参数空间提供一个可通用的工具.
主要方法:
- 构建具有恒定弧长的阿基米德螺旋.
- 计算可观测的 ψ 以定位符号变化.
- 切割方法的应用,用于精确的曲线点识别.
- 递归代来追踪极端和超稳定的曲线.
主要成果:
- 递归方法成功地识别了极端和超稳定的曲线.
- 使用物流-高斯图表来演示该方法.
- 对周期极端和超稳定曲线的观察,这些曲线有助于增加周期结构.
- 提供了生成曲线的示例.
结论:
- 拟议的递归方法对于识别参数空间中的关键曲线是有效的.
- 该方法提供了对生成周期加法现象的见解.
- 该技术可用于各种一维地图.
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