稳定状态时刻在重置状态下恢复到一个分布
1Nordita, Royal Institute of Technology, and Stockholm University, Hannes Alfvéns Väg 12, 106 91 Stockholm, Sweden and Institut für Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
Physical review. E
|November 18, 2023
概括
这项研究探讨了非平衡稳定状态与随机重置. 我们发现平稳状态时刻普遍依赖于重置位置时刻,简化了布朗粒子和跑动粒子的分析.
科学领域:
- 统计物理 统计物理
- 非线性动力学是一种非线性动力学.
- 随机过程 随机过程
背景情况:
- 随机重置引入了将系统状态重置到特定分布的机制.
- 了解不平衡稳定状态对于各种物理和生物系统至关重要.
- 以前的研究往往侧重于特定的重置分布或动态.
研究的目的:
- 为了研究从随机重置到分布中出现的不平衡稳定状态的特性.
- 建立一个一般的框架来计算这些系统中的稳定状态时刻.
- 为特定的物理模型推导明确的解决方案.
主要方法:
- 稳态时刻表达式的分析推导.
- 开发一种通用公式,将系统时刻与重置分配时刻联系起来.
- 适用于布朗的粒子动力学和在和潜力中的运行和的粒子动力学.
- 数字模拟用于验证.
主要成果:
- 稳定状态时刻被证明是重置分布时刻的线性组合.
- 这种线性组合的系数是普遍的,只取决于底层动态.
- 所有时刻的封闭式表达式都来自布朗和跑动粒子.
- 数字模拟以极好的一致性证实了分析结果.
结论:
- 随机重置到分布导致在稳定状态时刻的普遍性质.
- 衍生框架简化了复杂的随机系统的分析,并进行了重置.
- 这些发现为研究涉及重置的各种物理现象提供了强大的工具.
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