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Dynamical foundations of nonextensive statistical mechanics
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Dynamical foundations of nonextensive statistical
mechanics
Christian Beck1
Isaac Newton Institute for Mathematical Sciences, University of
Cambridge, 20 Clarkson Road, Cambridge CB3 0EH, UK
Abstract
We construct classes of stochastic differential equations with fluc-
tuating friction forces that generate a dynamics correctly described
by Tsallis statistics and nonextensive statistical mechanics. These
systems generalize the way in which ordinary Langevin equations un-
derly 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 Eu-
lerian 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.
1 permanent address: School of Mathematical Sciences, Queen Mary, University of
London, Mile End Road, London E1 4NS.
Recently there has been considerable interest in the formalism of nonex-
tensive statistical mechanics (NESM) as introduced by Tsallis [1] and further
developed by many others (e.g. [2]–[4]). In the mean time there is growing
evidence that the formalism, rather than being just a theoretical construc-
tion, is of relevance to many complex physical systems. Applications in
various areas have been reported, mainly for systems with either long-range
interactions [5]–[7], multifractal behaviour [8, 9], or fluctuations of temper-
ature or energy dissipation rate [10]–[14]. A recent interesting application
of the formalism is that to fully developed turbulence [9, 11, 12]. Precision
measurements of probability density functions (pdfs) of longitudinal veloc-
ity differences in high-Reynolds number turb
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