Thermostatistics of extensive and non-extensive systems using generalized entropies

Details Thermostatistics of extensive and non-extensive systems using generalized entropies Thermostatistics of extensive and non-extensive systems using generalized entropies

2000-05-04

arxiv.org/abs/cond-mat/0005089v1

Physics

Condensed Matter

Statistical Mechanics

Submitted to Physica A. LaTeX format, 38 pages, 17 EPS figures. IMEDEA-UIB, 07071 Palma de Mallorca, Spain, http://www.imedea.

Scientific paper

10.1016/S0378-4371(00)00361-7

We describe in detail two numerical simulation methods valid to study systems whose thermostatistics is described by generalized entropies, such as Tsallis. The methods are useful for applications to non-trivial interacting systems with a large number of degrees of freedom, and both short-range and long-range interactions. The first method is quite general and it is based on the numerical evaluation of the density of states with a given energy. The second method is more specific for Tsallis thermostatistics and it is based on a standard Monte Carlo Metropolis algorithm along with a numerical integration procedure. We show here that both methods are robust and efficient. We present results of the application of the methods to the one-dimensional Ising model both in a short-range case and in a long-range (non-extensive) case. We show that the thermodynamic potentials for different values of the system size N and different values of the non-extensivity parameter q can be described by scaling relations which are an extension of the ones holding for the Boltzmann-Gibbs statistics (q=1). Finally, we discuss the differences in using standard or non-standard mean value definitions in the Tsallis thermostatistics formalism and present a microcanonical ensemble calculation approach of the averages.

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