Strong ensemble nonequivalence in systems with local constraints
Qi Zhang, Diego Garlaschelli

TL;DR
This paper demonstrates that in systems with extensive local constraints, ensemble nonequivalence can be both strong and unrestricted across all parameters, impacting statistical physics and Big Data analysis.
Contribution
It reveals a novel strong and unrestricted form of ensemble nonequivalence caused by local constraints, expanding understanding beyond phase transition scenarios.
Findings
Ensemble nonequivalence appears in unrestricted form throughout parameter space.
The strong form of nonequivalence can also occur simultaneously.
Provides mathematical tools for real-world applications.
Abstract
The asymptotic equivalence of canonical and microcanonical ensembles is a central concept in statistical physics, with important consequences for both theoretical research and practical applications. However, this property breaks down under certain circumstances. The most studied violation of ensemble equivalence requires phase transitions, in which case it has a `restricted' (i.e. confined to a certain region in parameter space) but `strong' (i.e. characterized by a difference between the entropies of the two ensembles that is of the same order as the entropies themselves) form. However, recent research on networks has shown that the presence of an extensive number of local constraints can lead to ensemble nonequivalence even in the absence of phase transitions. This occurs in a `weak' (i.e. leading to a subleading entropy difference) but remarkably `unrestricted' (i.e. valid in the…
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