On the CFT describing the spin clusters in 2d Potts model

Author:

Picco Marco,Santachiara Raoul

Abstract

Abstract We have considered clusters of like spins in the Q-Potts model, the spin Potts clusters (S clusters). Using Monte Carlo simulations, we studied these clusters on a square lattice with periodic boundary conditions for values of Q ∈ [1, 4]. We continue the work initiated by Delfino et al (2013 J. Stat. Mech. P11011) by measuring the universal finite size corrections of the two-point connectivity. The numerical data are perfectly compatible with the conformal field theory (CFT) prediction, thus supporting the existence of a consistent CFT, still unknown, describing the connectivity Potts spin clusters. We provided in particular new insights on the energy field of such theory. For Q = 2, we found a good agreement with the prediction that the Ising spin clusters behave as the Fortuin–Kasteleyn ones at the tri-critical point of the dilute one-Potts model. We show that the structure constants are likely to be given by the imaginary Liouville structure constants, consistently with the results by Delfino et al (2013 J. Stat. Mech. P11011); Ang and Sun (2021 arXiv:2107.01788). For Q ≠ 2 instead, the structure constants we measure do not correspond to any known bootstrap solutions. The validity of our analysis is backed up by the measures of the spin Potts cluster wrapping probability for Q = 3. We evaluate the main critical exponents and the correction to the scaling. A new exact and compact expression for the torus one-point of the Q-Potts energy field is also given.

Publisher

IOP Publishing

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

Reference47 articles.

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1. Global symmetry and conformal bootstrap in the two-dimensional $Q$-state Potts model;SciPost Physics;2023-06-14

2. Long-range quenched bond disorder in the bidimensional Potts model;Journal of Statistical Mechanics: Theory and Experiment;2023-04-01

3. Critical points in coupled Potts models and correlated percolation;Journal of Statistical Mechanics: Theory and Experiment;2023-01-01

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