在随机环境中随机步行中适度偏差的普遍Kardar-Parisi-Zhang波动
Jacob Hass1, Hindy Drillick2, Ivan Corwin2
1University of Oregon, Department of Physics and Materials Science Institute, Eugene, Oregon 97403, USA.
Physical review. E
|February 20, 2026
概括
这项研究使用随机环境中的随机步行模型在混乱环境中模拟粒子运动. 它揭示了粒子运动中的通用行为,将其与卡达尔-帕里西-方程联系起来,并引入了极端扩散系数.
科学领域:
- 物理 物理学 物理
- 统计力学 统计力学
- 随机过程 随机过程
背景情况:
- 经典的扩散理论将粒子视为独立的随机步行者.
- 这忽略了粒子在共同环境中的集体进化.
- 在随机环境中随机步行可以解释环境对粒子运动的影响.
研究的目的:
- 在随机环境中确定随机走路的过渡概率中适度偏差的普遍性结果.
- 将这个模型连接到统计物理学中已建立的方程.
- 引入一种新概念,即极端扩散系数.
主要方法:
- 对过渡概率中等偏差的分析.
- 对某个特定的随机热方程的时刻趋同的证明.
- 描述环境统计在扩展限制中的作用.
主要成果:
- 对于广泛的随机环境,建立了一个通用性结果.
- 该模型的时刻与乘法噪声随机热方程的时刻相聚.
- 缩放限制取决于从环境统计数据中得出的单个参数.
结论:
- 这项研究弥合了简单的随机步行模型和复杂的环境相互作用之间的差距.
- 它为极端扩散系数提供了理论基础.
- 这些发现对理解无序系统中的扩散有意义.
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