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随机无热系统的最小模型:非高斯噪声的起源

Minimal model of stochastic athermal systems: origin of non-Gaussian noise.

作者信息

Kanazawa Kiyoshi, Sano Tomohiko G, Sagawa Takahiro, Hayakawa Hisao

机构信息

Yukawa Institute for Theoretical Physics, Kyoto University, Kitashirakawa-oiwake cho, Sakyo-ku, Kyoto 606-8502, Japan.

Department of Basic Science, The University of Tokyo, Komaba, Meguro-ku 153-8902, Japan.

出版信息

Phys Rev Lett. 2015 Mar 6;114(9):090601. doi: 10.1103/PhysRevLett.114.090601. Epub 2015 Mar 3.

Abstract

For a wide class of stochastic athermal systems, we derive Langevin-like equations driven by non-Gaussian noise, starting from master equations and developing a new asymptotic expansion. We found an explicit condition whereby the non-Gaussian properties of the athermal noise become dominant for tracer particles associated with both thermal and athermal environments. Furthermore, we derive an inverse formula to infer microscopic properties of the athermal bath from the statistics of the tracer particle. We apply our formulation to a granular motor under viscous friction and analytically obtain the angular velocity distribution function. Our theory demonstrates that the non-Gaussian Langevin equation is the minimal model of athermal systems.

摘要

对于一大类随机无热系统,我们从主方程出发并发展一种新的渐近展开,推导出由非高斯噪声驱动的类朗之万方程。我们发现了一个明确的条件,在该条件下,对于与热环境和无热环境相关的示踪粒子,无热噪声的非高斯特性变得占主导地位。此外,我们推导了一个逆公式,用于从示踪粒子的统计数据推断无热浴的微观性质。我们将我们的公式应用于粘性摩擦下的颗粒马达,并通过分析得到角速度分布函数。我们的理论表明,非高斯朗之万方程是无热系统的最小模型。

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