Tensor renormalization group approach to critical phenomena via symmetry-twisted partition functions

TL;DR

This paper demonstrates how tensor renormalization group methods can efficiently compute symmetry-twisted partition functions to detect phase transitions and critical phenomena in classical models like Ising and O(2).

Contribution

It introduces a TRG-based framework for analyzing symmetry-twisted partition functions to identify symmetry-breaking and critical points in classical statistical models.

Findings

Critical temperature for 3D O(2) model: T_c=2.2017(2).

Critical exponent for 3D O(2): ν=0.663(33).

BKT transition temperature for 2D O(2): T_BKT=0.8928(2).

Abstract

The locality of field theories strongly constrains the possible behaviors of symmetry-twisted partition functions, and thus they serve as order parameters to detect low-energy realizations of global symmetries, such as spontaneous symmetry breaking (SSB). We demonstrate that the tensor renormalization group (TRG) offers an efficient framework to compute the symmetry-twisted partition functions, which enables us to detect the symmetry-breaking transition and also to study associated critical phenomena. As concrete examples of SSB, we investigate the two-dimensional (2D) classical Ising model and the three-dimensional (3D) classical $O(2)$ nonlinear sigma model, and we identify their critical points solely from the twisted partition function. By employing the finite-size scaling argument, we find the critical temperature $T_c=2.2017(2)$ with the critical exponent $\nu = 0.663(33)$ for the 3D $O(2)$ model. In addition, we also study the Berezinskii-Kosterlitz-Thouless (BKT) criticality of the 2D classical $O(2)$ model by extracting the helicity modulus from the twisted partition functions, and we obtain the BKT transition temperature, $T_{\mathrm{BKT}}=0.8928(2)$.