The Elliptic Function in Statistical Integrable Models
Kazuyasu Shigemoto

TL;DR
This paper explores the connection between SU(2) symmetry and elliptic functions in two-dimensional statistical integrable models, explaining why models like Ising and chiral Potts are integrable.
Contribution
It provides a group-theoretical explanation for the role of elliptic functions in the integrability of these models, linking symmetry to parametrization.
Findings
SU(2) symmetry underpins integrability in these models
Elliptic functions parametrically describe Boltzmann weights
The connection clarifies the mathematical structure of integrable models
Abstract
We examine the group theoretical reason why various two dimensional statistical integrable models, such as the Ising model, the chiral Potts model and the Belavin model, becomes integrable. The symmetry of these integrable models is SU(2) and the Boltzmann weight can be parametrized by the elliptic function in many cases. In this paper, we examine the connection between the SU(2) symmetry and the elliptic function in the statistical integrable models.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Bayesian Methods and Mixture Models · Markov Chains and Monte Carlo Methods
