• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于平均扩散系数的标度不变的格林-库伯关系。

Scale-invariant Green-Kubo relation for time-averaged diffusivity.

机构信息

Max Planck Institute for the Physics of Complex Systems Noethnitzer Strasse 38 D 01187 Dresden, Germany.

Department of Physics, Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan, 52900, Israel.

出版信息

Phys Rev E. 2017 Dec;96(6-1):062122. doi: 10.1103/PhysRevE.96.062122. Epub 2017 Dec 15.

DOI:10.1103/PhysRevE.96.062122
PMID:29347404
Abstract

In recent years it was shown both theoretically and experimentally that in certain systems exhibiting anomalous diffusion the time- and ensemble-averaged mean-squared displacement are remarkably different. The ensemble-averaged diffusivity is obtained from a scaling Green-Kubo relation, which connects the scale-invariant nonstationary velocity correlation function with the transport coefficient. Here we obtain the relation between time-averaged diffusivity, usually recorded in single-particle tracking experiments, and the underlying scale-invariant velocity correlation function. The time-averaged mean-squared displacement is given by 〈δ^{2}[over ¯]〉∼2D_{ν}t^{β}Δ^{ν-β}, where t is the total measurement time and Δ is the lag time. Here ν is the anomalous diffusion exponent obtained from ensemble-averaged measurements 〈x^{2}〉∼t^{ν}, while β≥-1 marks the growth or decline of the kinetic energy 〈v^{2}〉∼t^{β}. Thus, we establish a connection between exponents that can be read off the asymptotic properties of the velocity correlation function and similarly for the transport constant D_{ν}. We demonstrate our results with nonstationary scale-invariant stochastic and deterministic models, thereby highlighting that systems with equivalent behavior in the ensemble average can differ strongly in their time average. If the averaged kinetic energy is finite, β=0, the time scaling of 〈δ^{2}[over ¯]〉 and 〈x^{2}〉 are identical; however, the time-averaged transport coefficient D_{ν} is not identical to the corresponding ensemble-averaged diffusion constant.

摘要

近年来,理论和实验都表明,在某些表现出异常扩散的系统中,时间和整体平均均方位移显著不同。整体平均扩散系数是通过标度格林-库伯关系获得的,该关系将标度不变的非平稳速度相关函数与输运系数联系起来。在这里,我们获得了通常在单粒子跟踪实验中记录的时间平均扩散率与潜在的标度不变速度相关函数之间的关系。时间平均均方位移由〈δ^2[over ¯]〉∼2Dνt^βΔ^ν-β给出,其中 t 是总测量时间,Δ是滞后时间。这里 ν 是从整体平均测量得到的异常扩散指数〈x^2〉∼t^ν,而β≥-1 标记了动能〈v^2〉∼t^β的增长或下降。因此,我们建立了一个可以从速度相关函数的渐近性质中读取的指数之间的联系,对于输运常数 Dν 也是如此。我们用非平稳标度不变随机和确定性模型展示了我们的结果,从而强调了在整体平均中具有等效行为的系统在时间平均上可能有很大的差异。如果平均动能有限,β=0,〈δ^2[over ¯]〉和〈x^2〉的时间标度是相同的;然而,时间平均输运系数 Dν 与相应的整体平均扩散常数不同。

相似文献

1
Scale-invariant Green-Kubo relation for time-averaged diffusivity.用于平均扩散系数的标度不变的格林-库伯关系。
Phys Rev E. 2017 Dec;96(6-1):062122. doi: 10.1103/PhysRevE.96.062122. Epub 2017 Dec 15.
2
Ergodic time scale and transitive dynamics in single-particle tracking.单粒子追踪中的遍历时间尺度与传递动力学
Phys Rev E. 2021 Mar;103(3-1):032136. doi: 10.1103/PhysRevE.103.032136.
3
Anomalous diffusion and nonergodicity for heterogeneous diffusion processes with fractional Gaussian noise.具有分数高斯噪声的非均匀扩散过程中的反常扩散与非遍历性
Phys Rev E. 2020 Jul;102(1-1):012146. doi: 10.1103/PhysRevE.102.012146.
4
Langevin equation with fluctuating diffusivity: A two-state model.具有波动扩散系数的朗之万方程:一种双态模型。
Phys Rev E. 2016 Jul;94(1-1):012109. doi: 10.1103/PhysRevE.94.012109. Epub 2016 Jul 8.
5
Nonergodicity mimics inhomogeneity in single particle tracking.非遍历性在单粒子追踪中模拟了不均匀性。
Phys Rev Lett. 2008 Jun 27;100(25):250602. doi: 10.1103/PhysRevLett.100.250602. Epub 2008 Jun 26.
6
Anomalous diffusion, aging, and nonergodicity of scaled Brownian motion with fractional Gaussian noise: overview of related experimental observations and models.反常扩散、老化和分数高斯噪声下标度布朗运动的非遍历性:相关实验观察和模型概述。
Phys Chem Chem Phys. 2022 Aug 10;24(31):18482-18504. doi: 10.1039/d2cp01741e.
7
Single particle tracking in systems showing anomalous diffusion: the role of weak ergodicity breaking.在表现出反常扩散的系统中进行单粒子追踪:弱遍历破坏的作用。
Phys Chem Chem Phys. 2011 Feb 7;13(5):1800-12. doi: 10.1039/c0cp01879a. Epub 2011 Jan 4.
8
Anomalous physical transport in complex networks.复杂网络中的异常物理传输。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Nov;82(5 Pt 2):055101. doi: 10.1103/PhysRevE.82.055101. Epub 2010 Nov 10.
9
Finite-time effects and ultraweak ergodicity breaking in superdiffusive dynamics.有限时间效应和超扩散动力学中的超弱遍历破坏。
Phys Rev Lett. 2013 Jan 11;110(2):020603. doi: 10.1103/PhysRevLett.110.020603. Epub 2013 Jan 10.
10
Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking.反常扩散模型及其性质:单粒子追踪百年之际的非平稳性、非遍历性和老化
Phys Chem Chem Phys. 2014 Nov 28;16(44):24128-64. doi: 10.1039/c4cp03465a.