Fate of Quasiparticle at Mott Transition and Interplay with Lifshitz Transition Studied by Correlator Projection Method
Kota Hanasaki, Masatoshi Imada

TL;DR
This study investigates the nature of the Mott transition and its interplay with Lifshitz transitions in the two-dimensional Hubbard model using an advanced correlator projection method that captures momentum dependence beyond DMFT.
Contribution
It introduces a detailed analysis of the phase diagram and quasiparticle behavior at the Mott transition, highlighting the role of momentum dependence and Lifshitz transitions, which are not captured by traditional methods.
Findings
Lifshitz and metal-insulator transitions can occur simultaneously or separately depending on Coulomb repulsion.
Quasiparticles retain finite renormalization factors across the transition, indicating a shift in the Fermi level causes the transition.
Charge compressibility diverges at the Lifshitz transition's critical end point due to singular momentum dependence.
Abstract
Filling-control metal-insulator transition on the two-dimensional Hubbard model is investigated by using the correlator projection method, which takes into account momentum dependence of the free energy beyond the dynamical mean-field theory. The phase diagram of metals and Mott insulators is analyzed. Lifshitz transitions occur simultaneously with metal-insulator transitions at large Coulomb repulsion. On the other hand, they are separated each other for lower Coulomb repulsion, where the phase sandwiched by the Lifshitz and metal-insulator transitions appears to show violation of the Luttinger sum rule. Through the metal-insulator transition, quasiparticles retain nonzero renormalization factor and finite quasi-particle weight in the both sides of the transition. This supports that the metal-insulator transition is caused not by the vanishing renormalization factor but by the relative…
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.
