Dynamical Foundations of Nonextensive Statistical Mechanics

Christian Beck
Phys. Rev. Lett. 87, 180601 – Published 10 October 2001
PDFExport Citation

Abstract

We construct classes of stochastic differential equations with fluctuating friction forces that generate a dynamics correctly described by Tsallis statistics. These systems generalize the way in which ordinary Langevin equations underlie ordinary statistical mechanics to the more general nonextensive case. As a main example, we construct a dynamical model of velocity fluctuations in a turbulent flow, which generates probability densities that very well fit experimentally measured probability densities in Eulerian and Lagrangian turbulence. Our approach provides a dynamical reason why many physical systems with fluctuations in temperature or energy dissipation rate are correctly described by Tsallis statistics.

  • Received 7 May 2001

DOI:https://doi.org/10.1103/PhysRevLett.87.180601

©2001 American Physical Society

Authors & Affiliations

Christian Beck*

  • Isaac Newton Institute for Mathematical Sciences, University of Cambridge, 20 Clarkson Road, Cambridge CB3 0EH, United Kingdom

  • *Permanent address: School of Mathematical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, England.

Comments & Replies

Comment on “Dynamical Foundations of Nonextensive Statistical Mechanics”

Fernando A. Oliveira, Rafael Morgado, Marcos V. B. T. Lima, Bernardo A. Mello, Alex Hansen, and G. George Batrouni
Phys. Rev. Lett. 90, 218901 (2003)

Beck Replies:

Christian Beck
Phys. Rev. Lett. 90, 218902 (2003)

References (Subscription Required)

Click to Expand
Issue

Vol. 87, Iss. 18 — 29 October 2001

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×