时间延迟的线性扩散中动态可观测量的波动:基于里卡蒂的方法
M L Rosinberg1, G Tarjus1, T Munakata2
1Laboratoire de Physique Théorique de la Matière Condensée, CNRS-UMR 7600, Sorbonne Université, 4 place Jussieu, 75252 Paris Cedex 05, France.
Physical review. E
|August 1, 2025
概括
研究人员开发了一种新方法,使用马科夫嵌入分析复杂非马科夫过程中的波动. 这种方法允许计算大的偏差函数,并提供热量和生产的见解.
科学领域:
- 统计物理 统计物理
- 非马科夫的动力学
- 随机过程 随机过程
背景情况:
- 对非马科夫过程的动态可观量的波动的理解是有限的.
- 一个关键的挑战是缺乏一个理论框架来评估大的偏差函数.
研究的目的:
- 开发一个理论框架来分析时间延迟的线性扩散的波动.
- 计算电流类型可观测的生成函数,并导出大偏差函数.
主要方法:
- 利用马科维安嵌入程序将非马科维安系统转换为无限集的合微分方程.
- 解决矩阵里卡蒂微分方程 (RDEs) 来计算生成函数.
- 分析了RDE和连续时间代数里卡蒂方程 (CAREs) 的属性.
主要成果:
- 为缩放累积生成函数 (SCGF),预指数因子和有效过程衍生了明确的表达式.
- 在长时间限制中确定了RDE解决方案的通用固定点.
- 描述了SCGF域边界的特殊行为,与热量和产生的波动关系有关.
结论:
- 开发的方法提供了一种可操作的方法来研究时间延迟的非马科夫过程中的波动.
- 这些发现为波动的动态及其与热力学量之间的联系提供了新的见解.
- 这项工作为进一步研究复杂系统中的大偏差理论奠定了基础.
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