English

Percolation of Fortuin-Kasteleyn clusters for the random-bond Ising model

Disordered Systems and Neural Networks 2020-07-22 v1 Computational Physics

Abstract

We apply generalisations of the Swendson-Wang and Wolff cluster algorithms, which are based on the construction of Fortuin-Kasteleyn clusters, to the three-dimensional ±1\pm 1 random-bond Ising model. The behaviour of the model is determined by the temperature TT and the concentration pp of negative (anti-ferromagnetic) bonds. The ground state is ferromagnetic for 0p<pc0 \le p<p_c, and a spin glass for pc<p0.5p_c < p \le 0.5 where pc0.222p_c \simeq 0.222. We investigate the percolation transition of the Fortuin-Kasteleyn clusters as function of temperature. Except for p=0p=0 the Fortuin-Kasteleyn percolation transition occurs at a higher temperature than the magnetic ordering temperature. This was known before for p=1/2p=1/2 but here we provide evidence for a difference in transition temperatures even for pp arbitrarily small. Furthermore, for all values of p>0p>0, our data suggest that the percolation transition is universal, irrespective of whether the ground state exhibits ferromagnetic or spin-glass order, and is in the universality class of standard percolation. This shows that correlations in the bond occupancy of the Fortuin-Kasteleyn clusters are irrelevant, except for p=0p=0 where the clusters are tied to Ising correlations so the percolation transition is in the Ising universality class.

Keywords

Cite

@article{arxiv.1905.04220,
  title  = {Percolation of Fortuin-Kasteleyn clusters for the random-bond Ising model},
  author = {Hauke Fajen and Alexander K. Hartmann and A. Peter Young},
  journal= {arXiv preprint arXiv:1905.04220},
  year   = {2020}
}

Comments

6 pages; 7 figures