活跃的奥恩斯坦-乌伦贝克粒子最可能的路径
1Department of Physics, Birla Institute of Technology and Science, Pilani, Rajasthan, 333031, India.
Physical review. E
|June 17, 2023
概括
我们分析了不平衡系统中最可能的路径,揭示了波动如何影响产量. 这项研究有助于设计具有特定轨迹的人工活性系统.
科学领域:
- 统计力学 统计力学
- 非平衡的热力学 热力学
- 活动物质物理学 活动物质物理学
背景情况:
- 波动显著影响随机系统动态,特别是在小系统中,它们会导致热力学量偏离平均值.
- 了解这些偏差对于描述非平衡过程至关重要.
研究的目的:
- 在非平衡系统中使用Onsager-Machlup形式主义分析最可能的路径 (极端路径).
- 调查这些路径上的产量与平均产量的差异.
- 确定从这些路径中获得的关于非平衡性质的信息,以及它们对系统参数的依赖.
主要方法:
- 应用了Onsager-Machlup变化形式主义的应用.
- 作为模型系统,对活跃的奥恩斯坦-乌伦贝克粒子进行分析.
- 关于持久时间,游泳速度和主动噪声的路径属性的调查.
主要成果:
- 在活跃的奥恩斯坦-乌伦贝克粒子中最可能的路径的表征.
- 量化沿最可能的路径产生的和平均产生的差异.
- 展示路径属性如何取决于像持久时间,游泳速度和主动噪声这样的参数.
结论:
- 极端路径为系统的非平衡性提供了洞察力.
- 这项研究为了解和潜在地控制活性物质轨迹提供了一个框架.
- 这些发现适用于设计具有所需行为的人工活跃系统.
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