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Application of optimization method to the x4 model in the Tsallis nonextensive statistics

2013/10/31 by Masamichi Ishihara
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Dust and Plasma Wave Phenomena #Statistical Mechanics and Entropy #cond-mat.stat-mech

paper · pdf · doi:10.1142/s0217979214502348

published as Int. J. Mod. Phys. B, 29, 1450234 (2015) · Abstract was rewritten

arxiv created 2013/11/01 · openalex publication_date 2014/10/03 · arxiv updated 2014/12/23 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

We study the effects of the environment described by the Tsallis nonextensive statistics on physical quantities using an optimization method in the case of small deviation from the Boltzmann–Gibbs statistics. The x 4 model is used and the density operator is restricted to be a Gaussian form. The variational parameter is the frequency Ω of a harmonic oscillator in the optimization method. We obtain an approximate expression of free energy and of the expectation value of βmΩ 2 x 2 /2, where β is the inverse of the temperature T and m is the mass. The optimized frequency is estimated numerically. The expectation value of βmΩ 2 x 2 /2 and the derivative of the energy with respect to the temperature [Formula: see text] are also calculated numerically. The effects of the Tsallis nonextensive statistic in the case of small deviation from the Boltzmann–Gibbs statistics are found: (1) the frequency modulation, (2) the variation of the expectation value of βm Ω 2 x 2 /2 and (3) the variation of [Formula: see text].

Citations