Potts models with (17) invisible states on thin graphs

D A Johnston, R P K C M Ranasinghe

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The order of a phase transition is usually determined by the nature of the symmetry breaking at the phase transition point and the dimension of the model under consideration. For instance, q-state Potts models in two dimensions display a second order, continuous transition for q = 2, 3, 4 and first order for higher q. Tamura et al recently introduced Potts models with 'invisible' states which contribute to the entropy but not the internal energy and noted that adding such invisible states could transmute continuous transitions into first order transitions (Tamura et al 2010 Prog. Theor. Phys. 124 381; 2011 J. Phys: Conf. Ser. 297 012022; 2012 Interface Between Quantum Information and Statistical Physics; Tanaka and Tamura 2011 J. Phys.: Conf. Ser. 320 012025). This was observed both in a Bragg–Williams type mean-field calculation and 2D Monte-Carlo simulations. It was suggested that the invisible state mechanism for transmuting the order of a transition might play a role where transition orders inconsistent with the usual scheme had been observed. In this paper we note that an alternative mean-field approach employing 3-regular random ('thin') graphs also displays this change in the order of the transition as the number of invisible states is varied, although the number of states required to effect the transmutation, 17 invisible states when there are 2 visible states, is much higher than in the Bragg–Williams case. The calculation proceeds by using the equivalence of the Potts model with two visible and r invisible states to the Blume–Emery–Griffiths (BEG) model, so a by-product is the solution of the BEG model on thin random graphs.
Original languageEnglish
Pages (from-to)225001
Number of pages11
JournalJournal of Physics A: Mathematical and Theoretical
Volume46
Issue number22
DOIs
Publication statusPublished - Jun 2013

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics

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