Quasicanonical Gibbs distribution and Tsallis non-extensive statistics
We derive and study quasicanonical Gibbs distribution function which is characterized by the thermostat with finite number of particles (quasithermostat). We show that this naturally leads to Tsallis non-extensive statistics and thermodynamics, with Tsallis parameter q is found to be related to the number of particles in the quasithermostat. We show that the chi-square distribution of fluctuating temperature used recently by Beck can be partially understood in terms of normal random momenta of particles in the quasithermostat. Also, we discuss on the importance of the time scale hierarchy and fluctuating probability distribution functions in understanding of Tsallis distribution, within the framework of kinetics of dilute gas and weakly inhomogeneous systems.
Year of publication: |
2003
|
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Authors: | Aringazin, A.K. ; Mazhitov, M.I. |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 325.2003, 3, p. 409-425
|
Publisher: |
Elsevier |
Subject: | Non-extensive statistics | Gibbs distribution | Fluctuations |
Saved in:
Online Resource
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