Thermodynamic versus statistical nonequivalence of ensembles for the mean-field Blume-Emery-Griffiths model
Richard S. Ellis, Hugo Touchette, Bruce Turkington

TL;DR
This paper introduces a new way to characterize nonequivalent statistical ensembles using the mean-field BEG model, highlighting differences at the level of equilibrium distributions and extending thermodynamic criteria.
Contribution
It provides a novel statistical characterization of ensemble nonequivalence based on equilibrium distributions, complementing existing thermodynamic approaches.
Findings
Microcanonical distributions are not realized in the canonical ensemble where entropy is nonconcave.
Concave entropy regions show a one-to-one correspondence between microcanonical and canonical distributions.
Numerical results support theoretical links between thermodynamic and statistical ensemble equivalence.
Abstract
We illustrate a novel characterization of nonequivalent statistical mechanical ensembles using the mean-field Blume-Emery-Griffiths (BEG) model as a test model. The novel characterization takes effect at the level of the microcanonical and canonical equilibrium distributions of states. For this reason it may be viewed as a statistical characterization of nonequivalent ensembles which extends and complements the common thermodynamic characterization of nonequivalent ensembles based on nonconcave anomalies of the microcanonical entropy. By computing numerically both the microcanonical and canonical sets of equilibrium distributions of states of the BEG model, we show that for values of the mean energy where the microcanonical entropy is nonconcave, the microcanonical distributions of states are nowhere realized in the canonical ensemble. Moreover, we show that for values of the mean…
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