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dc.date.accessioned 2022-02-21T18:34:37Z
dc.date.available 2022-02-21T18:34:37Z
dc.date.issued 2004-02
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/131430
dc.description.abstract We discuss relevant aspects of the exact q -thermostatistical treatment for an ideal Fermi system. The grand-canonical exact generalized partition function is given for arbitrary values of the nonextensivity index q , and the ensuing statistics is derived. Special attention is paid to the mean occupation numbers of single-particle levels. Limiting instances of interest are discussed in some detail, namely, the thermodynamic limit, considering in particular both the high- and low-temperature regimes, and the approximate results pertaining to the case q ∼ 1 (the conventional Fermi–Dirac statistics corresponds to q = 1). We compare our findings with previous Tsallis’ literature. en
dc.format.extent 230-248 es
dc.language en es
dc.subject Tsallis’ generalized statistics es
dc.subject Optimized Lagrange multipliers approach es
dc.subject Thermodynamics es
dc.subject Ideal Fermi gas es
dc.title q-thermostatistics and the analytical treatment of the ideal Fermi gas en
dc.type Articulo es
sedici.identifier.other arXiv:cond-mat/0304672 es
sedici.identifier.other doi:10.1016/j.physa.2003.10.026 es
sedici.identifier.issn 0378-4371 es
sedici.creator.person Martínez, S. es
sedici.creator.person Pennini, Flavia es
sedici.creator.person Plastino, Ángel Luis es
sedici.creator.person Portesi, Mariela Adelina es
sedici.subject.materias Ciencias Exactas es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
mods.originInfo.place Instituto de Física La Plata es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Physica A: Statistical Mechanics and its Applications es
sedici.relation.journalVolumeAndIssue vol. 332 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)