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arXiv 2604.02426cond-mat.str-elcond-mat.supr-con
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输运与温度 1:一维无限-U Hubbard模型的精确谱和电阻率

Transport and Temperature: Exact spectrum and Drude weight for the one-dimensional infinite-$U$ Hubbard model

Princeton University(普林斯顿大学);University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校);National High Magnetic Field Laboratory(国家高磁场实验室);Florida State University(佛罗里达州立大学);Donostia International Physics Center (DIPC)(圣塞巴斯蒂安国际物理中心);IKERBASQUE, Basque Foundation for Science(伊克尔巴斯基克,巴斯克科学基金会)

Shuo Liu, Yuhao Ma, Hitesh J. Changlani, Philip W. Phillips, B. Andrei Bernevig

AI总结:

本文研究了一维Hubbard模型在无限相互作用极限下的输运特性,推导了精确的能谱和电导率表达式,揭示了低温下线性温度电阻率的行为,为理解奇异金属输运提供了理论依据。

摘要:

理解强关联系统中的电荷输运仍是凝聚态物理的核心挑战,特别是在许多平台(从体态氧化物到扭曲双层石墨烯)中普遍观察到的线性温度电阻率。本文研究了一维Hubbard模型在无限相互作用极限下的输运特性。在稀释极限下,固定掺杂空穴数,首先构建了精确且显式(即超越Bethe ansatz)的能谱,然后推导出任意温度下的电荷Drude重量闭合解析表达式。进一步分析低温标度并识别Drude重量的线性温度修正。通过正则化奇异Drude贡献到直流电导率,发现这种行为对应于有效线性温度电阻率,可能为理解二维强关联系统中奇异金属输运的出现提供解析见解。

英文摘要:

Understanding charge transport in strongly correlated systems remains a central challenge in condensed matter physics, while exact analytical results for finite-temperature transport remain rare. Here, we investigate charge transport in the one-dimensional Hubbard model in the infinite-interaction limit. We first construct the exact \emph{and explicit - i.e. beyond Bethe ansatz} energy spectrum and eigenstates. Building on these explicit eigenstates, we derive a closed-form analytical expression for the charge Drude weight at arbitrary temperatures in the hole-dilute limit with a fixed number of doped holes, as well as analytical expressions in the low- and high-temperature limits at fixed hole density. We further show that, at low temperatures, the leading correction to the charge Drude weight is linear in $T$ when the number of holes is fixed, whereas it is quadratic in $T$ when the hole density is fixed. This analytically controlled example highlights the importance of identifying the underlying thermodynamic trajectory when interpreting finite-size numerical studies of charge transport in more general models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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