Ensemble inequivalence and absence of quasi-stationary states in long-range random networks. (8th June 2017)

• Record Type: Journal Article
• Authors: Chakhmakhchyan, L; Teles, T N; Ruffo, S
• Is Part Of: Journal of statistical mechanics. (2017:Jun.)
• Publication Date: 2017-06-08
• Subjects: 3 -- 16; Statistical mechanics -- Periodicals; Mechanics -- Statistical methods -- Periodicals; 530.1305
• DOI: 10.1088/1742-5468/aa73f1
• Languages: English
• ISSNs: 1742-5468

Abstract

Abstract: Ensemble inequivalence has been previously displayed only for long-range interacting systems with non-extensive energy. In order to perform the thermodynamic limit, such systems require an unphysical, so-called, Kac rescaling of the coupling constant. We here study models defined on long-range random networks, which avoid such a rescaling. The proposed models have an extensive energy, which is however non-additive. For such long-range random networks, pairs of sites are coupled with a probability decaying with the distance r as 1 / r δ . In one dimension and with 0 ⩽ δ < 1, the surface energy scales linearly with the network size, while for δ > 1 it is O (1). By performing numerical simulations, we show that a negative specific heat region is present in the microcanonical ensemble of a Blume–Capel model, in correspondence with a first-order phase transition in the canonical one. This proves that ensemble inequivalence is a consequence of non-additivity rather than non-extensivity . Moreover, since a mean-field coupling is absent in such networks, relaxation to equilibrium takes place on an intensive time scale and quasi-stationary states are absent.