在二叉引发的倾斜中速度和记忆效应
Julia Cantisán1, Serhiy Yanchuk2,3, Jesús M Seoane1
1Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos Tulipán s/n, 28933 Móstoles, Madrid, Spain.
Physical review. E
|September 19, 2023
概括
环境变化可能导致系统突然转变状态 (两叉引发的倾斜). 这项研究揭示了初始条件和漂移率如何影响这种现象,确定了决定性和非决定性倾斜制度.
科学领域:
- 复杂系统的动态 复杂系统的动态
- 非线性动力学和混沌理论
背景情况:
- 环境变化可以诱导系统中的参数漂移.
- 当参数穿过分叉点时,系统可以在状态之间过渡 (分叉诱导的倾斜).
- 这种稳定性交换通常发生在临界分叉值之外,称为转移稳定性交换.
研究的目的:
- 系统地调查影响转移稳定性交换的因素.
- 分析初始参数值和漂移率对两叉引发的倾斜的影响.
- 探索决定性和非决定性倾斜制度的出现.
主要方法:
- 对经历不同分叉类型的范式系统的数值模拟.
- 对参数漂移的动态进行分析研究.
- 在不同的初始条件和漂移率下分析系统行为.
主要成果:
- 转移稳定性交换被证明取决于初始参数值和漂移率.
- 非自主动力学被分为两种模式:确定性和非确定性.
- 倒车制度取决于是否超过数值或实验精度值.
- 推断了管理该现象的缩放规律,在系统和分叉之间表现出一致的行为.
结论:
- 这项研究阐明了两叉引发的倾斜的机制和影响因素.
- 基于漂移条件,建立了确定性和非确定性倾斜制度之间的明确区别.
- 观察到的缩放规律的普遍性表明,它在各种复杂系统中具有广泛的适用性.
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