Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/142074
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Ensemble Equivalence for Distinguishable Particles

AutorFernández-Peralta, Antonio CSIC ORCID; Toral, Raúl CSIC ORCID
Fecha de publicación13-jul-2016
EditorMultidisciplinary Digital Publishing Institute
CitaciónEntropy 18(7): 259 (2016)
ResumenStatistics of distinguishable particles has become relevant in systems of colloidal particles and in the context of applications of statistical mechanics to complex networks. In this paper, we present evidence that a commonly used expression for the partition function of a system of distinguishable particles leads to huge fluctuations of the number of particles in the grand canonical ensemble and, consequently, to nonequivalence of statistical ensembles. We will show that the alternative definition of the partition function including, naturally, Boltzmann’s correct counting factor for distinguishable particles solves the problem and restores ensemble equivalence. Finally, we also show that this choice for the partition function does not produce any inconsistency for a system of distinguishable localized particles, where the monoparticular partition function is not extensive.
Versión del editorhttp://dx.doi.org/10.3390/e18070259
URIhttp://hdl.handle.net/10261/142074
DOI10.3390/e18070259
ISSN1099-4300
Aparece en las colecciones: (IFISC) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
entropy-18-00259.pdf255,15 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

2
checked on 03-abr-2024

WEB OF SCIENCETM
Citations

1
checked on 25-feb-2024

Page view(s)

198
checked on 23-abr-2024

Download(s)

369
checked on 23-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Este item está licenciado bajo una Licencia Creative Commons Creative Commons