Transfer matrix computation of critical polynomials for two-dimensional Potts models
Jesper Lykke Jacobsen, Christian R. Scullard

TL;DR
This paper introduces a probabilistic transfer matrix method to compute critical polynomials for 2D Potts models on various lattices, achieving high-precision critical point estimates and exploring phase diagrams.
Contribution
It presents a new probabilistic definition of the critical polynomial enabling larger basis computations via transfer matrix, improving accuracy over previous contraction-deletion methods.
Findings
Accurate critical temperature estimates matching or surpassing Monte Carlo results.
Extended computational capacity to bases with up to 243 edges.
Detailed analysis of phase diagram structure in the antiferromagnetic region.
Abstract
In our previous work we have shown that critical manifolds of the q-state Potts model can be studied by means of a graph polynomial P_B(q,v), henceforth referred to as the critical polynomial. This polynomial may be defined on any periodic two-dimensional lattice. It depends on a finite subgraph B, called the basis, and the manner in which B is tiled to construct the lattice. The real roots v = e^K - 1 of P_B(q,v) either give the exact critical points for the lattice, or provide approximations that, in principle, can be made arbitrarily accurate by increasing the size of B in an appropriate way. In earlier work, P_B(q,v) was defined by a contraction-deletion identity, similar to that satisfied by the Tutte polynomial. Here, we give a probabilistic definition of P_B(q,v), which facilitates its computation, using the transfer matrix, on much larger B than was previously possible. We…
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