Mott Transitions and Staggered Orders in the Three-component Fermionic System: Variational Cluster Approach
Takumi Hasunuma, Tatsuya Kaneko, Shohei Miyakoshi, Yukinori Ohta

TL;DR
This study uses the variational cluster approximation to explore Mott transitions and staggered orders in a three-component fermionic Hubbard model on a 2D lattice, revealing phase behaviors influenced by interaction anisotropy and Fermi surface nesting.
Contribution
It demonstrates the realization of different Mott and ordered states depending on interaction anisotropy and analyzes their energy mechanisms using a variational cluster approach.
Findings
Paired Mott or color-selective Mott states depend on interaction anisotropy.
First-order transition between color-density-wave and color-selective antiferromagnetic states at SU(3) point.
Staggered orders are fragile and depend on Fermi surface nesting.
Abstract
The variational cluster approximation is used to study the ground-state properties and single-particle spectra of the three-component fermionic Hubbard model defined on the two-dimensional square lattice at half filling. First, we show that either a paired Mott state or color-selective Mott state is realized in the paramagnetic system, depending on the anisotropy in the interaction strengths, except around the SU(3) symmetric point, where a paramagnetic metallic state is maintained. Then, by introducing Weiss fields to observe spontaneous symmetry breakings, we show that either a color-density-wave state or color-selective antiferromagnetic state is realized depending on the interaction anisotropy and that the first-order phase transition between these two states occurs at the SU(3) point. We moreover show that these staggered orders originate from the gain in potential energy (or…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
