Pˆat¸u, O. I., Kl¨umper, A., & Foerster, A. (2024). Exact spectral function and nonequilibrium dynamics of the strongly interacting Hubbard model. arXiv preprint arXiv:2408.09721.
This research paper aims to derive exact and computationally efficient representations for the correlation functions of the strongly interacting one-dimensional Hubbard model. The authors then utilize these representations to investigate the spectral properties and nonequilibrium dynamics of the system under various conditions, including the presence of a harmonic trapping potential.
The authors employ the Bethe ansatz technique to obtain the eigenstates and eigenenergies of the Hubbard model in the strongly interacting limit. They then derive determinant representations for the correlation functions by utilizing the factorization properties of the wavefunctions and their connection to a dual system of spinless fermions. These representations are valid for arbitrary temperature, particle statistics, and external potential, both in equilibrium and nonequilibrium scenarios.
The determinant representations presented in this paper provide a powerful tool for studying the static and dynamic properties of the strongly interacting Hubbard model. The observed dynamical quasicondensation phenomenon highlights the intricate interplay of interactions and confinement in these systems.
This research significantly contributes to the field of strongly correlated systems by providing a novel and efficient method for calculating correlation functions. The findings have implications for understanding the behavior of ultracold atoms in optical lattices and other strongly correlated systems.
While the current study focuses on the one-dimensional Hubbard model, extending the determinant representations to higher dimensions would be a valuable avenue for future research. Additionally, exploring the effects of different trapping geometries and nonequilibrium protocols could reveal further insights into the dynamics of strongly correlated systems.
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by Ovidiu I. Pa... at arxiv.org 11-12-2024
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