Fractal Structure and Non-Extensive Statistics
Metadatos
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MDPI
Materia
Fractal structure Non-extensive statistics Tsallis statistics Self-similarity Scale invariance
Date
2018-08-24Referencia bibliográfica
Deppman, A. [et al.]. Fractal Structure and Non-Extensive Statistics. Entropy 2018, 20, 633; doi:10.3390/e20090633.
Patrocinador
Conselho Nacional de Desenvolvimento Científico e Tecnológico: 464898/2014-5, Spanish MINEICO: FPA2015-64041-C2-1-P, SpanishMINEICO: FIS2017-85053-C2-1-P, Junta de Andalucía: Grant FQM-225, and Consolider Ingenio 2010 Programme CPAN: CSD2007-00042.Résumé
The role played by non-extensive thermodynamics in physical systems has been under
intense debate for the last decades. With many applications in several areas, the Tsallis statistics
have been discussed in detail in many works and triggered an interesting discussion on the most
deep meaning of entropy and its role in complex systems. Some possible mechanisms that could
give rise to non-extensive statistics have been formulated over the last several years, in particular
a fractal structure in thermodynamic functions was recently proposed as a possible origin for
non-extensive statistics in physical systems. In the present work, we investigate the properties
of such fractal thermodynamical system and propose a diagrammatic method for calculations of
relevant quantities related to such a system. It is shown that a system with the fractal structure
described here presents temperature fluctuation following an Euler Gamma Function, in accordance
with previous works that provided evidence of the connections between those fluctuations and Tsallis
statistics. Finally, the scale invariance of the fractal thermodynamical system is discussed in terms of
the Callan–Symanzik equation.