Edge correlation function of the 8-vertex model when $a+c = b+d$

TL;DR

This paper derives a closed-form expression and asymptotic behavior for the edge correlation function of the 8-vertex model under specific conditions, also analyzing boundary influence using probabilistic cellular automata.

Contribution

It introduces a novel particle system approach and probabilistic methods to compute and analyze the edge correlation function of the 8-vertex model in special cases.

Findings

Closed-form expression for the edge correlation function

Asymptotic analysis of the correlation function

Quantification of boundary condition effects

Abstract

This paper is devoted to the 8-vertex model and its edge correlation function. In some particular (integrable) cases, we find a closed form of the edge correlation function and we deduce also its asymptotic. In addition, we quantify influence of boundary conditions on this function. To do this, we introduce a system of particles in interaction related to the 8-vertex model. This system, studied using various tools from analytic combinatorics, random walks and conics, permits to compute the correlation function. To study the influence of boundary conditions, we involve probabilistic cellular automata of order 2.