Superstatistics and non-Gaussian diffusion

被引:74
|
作者
Metzler, Ralf [1 ]
机构
[1] Univ Potsdam, Inst Phys & Astron, Karl Liebknecht Str 24-25, D-14476 Potsdam, Germany
来源
关键词
ANOMALOUS DIFFUSION; BROWNIAN DIFFUSION; KINETIC-THEORY; DYNAMICS; MOTION; NONERGODICITY; NANOPARTICLES; SUBDIFFUSION; STATISTICS; MODELS;
D O I
10.1140/epjst/e2020-900210-x
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Brownian motion and viscoelastic anomalous diffusion in homogeneous environments are intrinsically Gaussian processes. In a growing number of systems, however, non-Gaussian displacement distributions of these processes are being reported. The physical cause of the non-Gaussianity is typically seen in different forms of disorder. These include, for instance, imperfect "ensembles" of tracer particles, the presence of local variations of the tracer mobility in heteroegenous environments, or cases in which the speed or persistence of moving nematodes or cells are distributed. From a theoretical point of view stochastic descriptions based on distributed ("superstatistical") transport coefficients as well as time-dependent generalisations based on stochastic transport parameters with built-in finite correlation time are invoked. After a brief review of the history of Brownian motion and the famed Gaussian displacement distribution, we here provide a brief introduction to the phenomenon of non-Gaussianity and the stochastic modelling in terms of superstatistical and diffusing-diffusivity approaches.
引用
收藏
页码:711 / 728
页数:18
相关论文
共 50 条
  • [41] Diffusion Mode Transition between Gaussian and Non-Gaussian of Nanoparticles in Polymer Solutions
    Yi Ye
    Han Qin
    Ming Tian
    Jian-Guo Mi
    Chinese Journal of Polymer Science, 2019, 37 (07) : 719 - 728
  • [42] Diffusion Mode Transition between Gaussian and Non-Gaussian of Nanoparticles in Polymer Solutions
    Ye, Yi
    Qin, Han
    Tian, Ming
    Mi, Jian-Guo
    CHINESE JOURNAL OF POLYMER SCIENCE, 2019, 37 (07) : 719 - 728
  • [43] VALIDATION OF GAUSSIAN AND NON-GAUSSIAN DIFFUSION-MODELS FOR AN ELEVATED POINT SOURCE
    HUANG, CH
    DRAKE, RL
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1977, 58 (08) : 881 - 881
  • [44] Gaussian and non-Gaussian statistics
    Pawelec, JJ
    1997 INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, PROCEEDINGS, 1997, : 475 - 479
  • [45] ON GAUSSIAN SUM OF GAUSSIAN VARIATES NON-GAUSSIAN SUM OF GAUSSIAN VARIATES AND GAUSSIAN SUM OF NON-GAUSSIAN VARIATES
    MASONSON, M
    PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1967, 55 (09): : 1661 - &
  • [46] Bounded diffusing diffusivities: Brownian yet non-Gaussian diffusion
    Luo, Chengrong
    Du, Luchun
    Guo, Zixuan
    Shi, Hongda
    Huang, Feijie
    Xiang, Youlin
    Guo, Wei
    PHYSICA SCRIPTA, 2024, 99 (11)
  • [47] LARGE DEVIATIONS FOR A REACTION DIFFUSION EQUATION WITH NON-GAUSSIAN PERTURBATIONS
    SOWERS, RB
    ANNALS OF PROBABILITY, 1992, 20 (01): : 504 - 537
  • [48] From diffusion in compartmentalized media to non-Gaussian random walks
    Slezak, Jakub
    Burov, Stanislav
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [49] Fickian Non-Gaussian Diffusion in Glass-Forming Liquids
    Rusciano, Francesco
    Pastore, Raffaele
    Greco, Francesco
    PHYSICAL REVIEW LETTERS, 2022, 128 (16)
  • [50] NON-GAUSSIAN BRAIN DIFFUSION CHANGES IN PATIENTS WITH HEART FAILURE
    Kumar, R.
    Roy, B.
    Fonarow, G.
    Woo, M.
    INTERNATIONAL JOURNAL OF STROKE, 2016, 11 (SUPP 3) : 68 - 68