$U_{\mathfrak{q}}(\mathfrak{sl}_3)$ web models: Locality, phase diagram and geometrical defects
Augustin Lafay, Azat M. Gainutdinov, Jesper Lykke Jacobsen

TL;DR
This paper explores the properties of U_q(sl_3) web models on a hexagonal lattice, revealing their phase diagram, geometrical features, and connections to known models like the Potts model, through numerical and theoretical analysis.
Contribution
It introduces a local vertex-model reformulation of the n=3 web model, studies its critical points, and relates it to spin models and defect configurations, advancing understanding of its conformal properties.
Findings
Identified dense and dilute critical points for |q|=1.
Mapped the n=3 webs to the critical three-state Potts model.
Determined the fractal dimension of critical webs at q=-e^{i π/3}.
Abstract
We continue investigating the generalisations of geometrical statistical models introduced in [13], in the form of models of webs on the hexagonal lattice H having a U_q(sl_n) quantum group symmetry. We focus here on the n=3 case of cubic webs, based on the Kuperberg A_2 spider, and illustrate its properties by comparisons with the well-known dilute loop model (the n=2 case) throughout. A local vertex-model reformulation is exhibited, analogous to the correspondence between the loop model and a three-state vertex model. The n=3 representation uses seven states per link of H, displays explicitly the geometrical content of the webs and their U_q(sl_3) symmetry, and permits us to study the model on a cylinder via a local transfer matrix. A numerical study of the central charge reveals that for each q in the critical regime, |q|=1, the web model possesses a dense and a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Complex Systems and Time Series Analysis
