English

Probing phase transition order of $q$-state Potts models using Wang-Landau Algorithm

Statistical Mechanics 2015-12-25 v1

Abstract

Phase transitions are ubiquitous phenomena, exemplified by the melting of ice and spontaneous magnetization of magnetic material. In general, a phase transition is associated with a symmetry breaking of a system; occurs due to the competition between coupling interaction and external fields such as thermal energy. If the phase transition occurs with no latent heat, the system experiences continuous transition, also known as second order phase transition. The ferromagnetic qq-state Potts model with rr extra invisible states, introduced by Tamura, Tanaka, and Kawashima [Prog. Theor. Phys. 124, 381 (2010)], is studied by using the Wang-Landau method. The density of states difference (DOSD), lng(E+ΔE)lng(E)\ln g(E +\Delta E) - \ln g(E), is used to investigate the order of the phase transition and examine the critical value of rr changing the second to the first order transition.

Keywords

Cite

@article{arxiv.1512.07804,
  title  = {Probing phase transition order of $q$-state Potts models using Wang-Landau Algorithm},
  author = {Tasrief Surungan and Yukihiro Komura and Yutaka Okabe},
  journal= {arXiv preprint arXiv:1512.07804},
  year   = {2015}
}

Comments

4 Pages, 7 figures, Third International Conference on Theoretical and Applied Physics, Malang, 2013, Indonesia

R2 v1 2026-06-22T12:17:33.695Z