在一个维的Kuramoto-Sivashinsky和Kardar-Parisi-Zhang方程中,时间外排序的相关系数
Dipankar Roy1, David A Huse2, Manas Kulkarni1
1International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Physical review. E
|December 20, 2023
概括
时间外排序相关因子 (OTOC) 揭示了扰动如何在混乱系统中传播. 这项研究分析了Kuramoto-Sivashinsky和Kardar-Parisi-Zhang方程中的OTOC,揭示了对噪声,非线性和消散的见解.
科学领域:
- 非线性动力学是一种非线性动力学.
- 统计物理学的统计物理.
- 混沌理论是一个混乱理论.
背景情况:
- 时间外排序相关因子 (OTOC) 对于理解物理系统中的混乱和信息杂乱至关重要.
- 在经典局部微分方程中研究OTOC,可以了解基本动态.
研究的目的:
- 在非线性Kuramoto-Sivashinsky (KS) 方程中研究时间外排序的相关因子 (OTOC) 和它的光.
- 在随机卡达尔-帕里西-张 (KPZ) 方程中探索OTOC及其与KS方程的关系.
主要方法:
- 对非线性KS方程进行了广泛的数值模拟.
- 在线化KS方程中对线性不稳定模式的点分析.
- 对KPZ方程的离散版本进行数值分析.
主要成果:
- 经典和线性化KS方程表现出类似的OTOC和光结构.
- 该研究揭示了OTOC在确定性 (KS) 和随机性 (KPZ) 系统中的行为.
- 通过OTOC分析阐明了噪声,非线性和散射之间的关键相互作用.
结论:
- OTOC提供了一个强大的工具,用于探测决定性和随机的部分微分方程中的动态.
- 这些发现提供了对混乱,信息传播和噪音在扩展系统中的作用的更深入的理解.
- 这项工作通过OTOC的镜头将混沌的经典和量子概念联系起来.
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