English

Backbone three-point correlation function in the two-dimensional Potts model

Statistical Mechanics 2026-03-17 v2

Abstract

We study the three-point correlation function of the backbone in the two-dimensional QQ-state Potts model using the Fortuin--Kasteleyn (FK) representation. The backbone is defined as the biconnected skeleton of an FK cluster after removing all dangling ends and bridges. To circumvent the severe critical slowing down in direct Potts simulations for large QQ, we employ large-scale Monte Carlo simulations of the O(n)(n) loop model on the hexagonal lattice, which is regarded to correspond to the Potts model with Q=n2Q=n^2. Using a highly efficient cluster algorithm, we compute the universal three-point amplitude ratios for the backbone (RBBR_\text{BB}) and FK clusters (RFKR_\text{FK}). Our computed RFKR_\text{FK} exhibits excellent agreement with exact conformal field theory predictions, validating the reliability of our numerical approach. In the critical regime, we find that RBBR_\text{BB} is systematically larger than RFKR_\text{FK}. Conversely, along the tricritical branch, RBBR_\text{BB} and RFKR_\text{FK} coincide within numerical accuracy, strongly suggesting that RBB=RFKR_\text{BB}=R_\text{FK} holds throughout this regime. This finding mirrors the known equality of the backbone and FK cluster fractal dimensions at tricriticality, jointly indicating that both structures share the same geometric universality.

Cite

@article{arxiv.2511.10393,
  title  = {Backbone three-point correlation function in the two-dimensional Potts model},
  author = {Ming Li and Youjin Deng and Jesper Lykke Jacobsen and Jesús Salas},
  journal= {arXiv preprint arXiv:2511.10393},
  year   = {2026}
}

Comments

The document contains the paper (pdflatex, 14 pages) and 7 pdf figures. Fixed minor typos in Figs. 1, 3, and 4. Final version

R2 v1 2026-07-01T07:35:55.145Z