Probing the Critical Behavior of a Sign-Problematic Model with Monte Carlo Simulations
Ye Ling, Yuting Wang, Wenan Guo, Yhhai Liu
TL;DR
This work probes how a sign problem in Monte Carlo simulations relates to phase transitions by studying the generalized Baxter-Wu model with complex couplings, which maps to a 1D quantum model and has exactly known critical properties. It compares the conventional average sign $\langle S\rangle_+$ and a modified sign $\langle\widetilde{S}\rangle^*_+$ as probes of criticality, finding that $\langle S\rangle_+$ shows a negative dip near Tc but can misfire, while $\langle\widetilde{S}\rangle^*_+$ tracks Tc in principle though with exponential sampling costs. The authors introduce and validate a sign-free reference model ${\cal Z}_+$ and demonstrate that GBW and ${\cal Z}_+$ share the same universality class (2D 4-state Potts) via finite-size scaling, enabling access to critical properties without the sign problem. This framework suggests simulating the reference model to infer universal critical behavior of other sign-problem plagued systems, offering a novel approach for studying phase transitions under sign problems.
Abstract
The sign-problematic generalized Baxter-Wu (GBW) model with asymmetric complex couplings is mapped onto a one-dimensional quantum model. Utilizing the model's exactly known critical properties, we study the relation between the conventional and the modified average signs and the phase transitions in the GBW model. We find that the average sign develops a negative peak near the critical point, but it is not a unique indicator of phase transition, as similar features can appear in non-critical regions. While the average modified sign provides a viable probe for the phase transition, the practical effectiveness of this method is limited by the exponential scaling of computational cost with the system's volume. We propose that the universal properties of the original model can be investigated through simulating the related reference model, based on the universality assumption. Using finite-size scaling analysis based on Monte Carlo simulations, we confirm the validity of this method, which thereby provides a novel framework for investigating phase transitions in systems plagued by the sign problem.
