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arXiv 1708.07784cond-mat.str-el
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一维吸引哈伯德模型的普适热力学

Universal thermodynamics of the one-dimensional attractive Hubbard model

Song Cheng, Yi-Song Yu, Murray T Batchelor, Xi-Wen Guan

摘要:

一维(1D)哈伯德模型,描述了晶格上的电子与一个网站排斥相互作用,提供了一个范例的物理量子多体现象。本文通过求解热力学Bethe平衡方程,研究了一维吸引哈伯德模型的普适热力学、量子临界性和磁性。我们发现,在低温下的Fulde-Ferrell-Larkin-Ovchinnikov(FFLO)类状态的压缩性和磁化率服从简单的可加性规则,表明存在两个自由量子流体。磁性,如磁化强度和磁化率,揭示了三个物理区域:低温下的量子流体,高温下的非费米液体和量子流体之间的非费米液体交叉。晶格相互作用被认为是显着影响的性质的FFLO样的状态在1D。此外,我们表明,无量纲威尔逊比提供了一个理想的参数来映射出各种相边界,并表征两个自由流体的FLLO样状态。当发生相变时,在量子临界区,热性能和磁性能的量子标度函数产生相同的动态临界指数$z=2$和相关临界指数$ν=1/2$.我们的结果提供了一个严格的理解量子临界性和自由流体的多体系统的一维晶格。

英文摘要:

The one-dimensional (1D) Hubbard model, describing electrons on a lattice with an on-site repulsive interaction, provides a paradigm for the physics of quantum many-body phenomena. Here by solving the thermodynamic Bethe ansatz equations we study the universal thermodynamics, quantum criticality and magnetism of the 1D attractive Hubbard model. We show that the compressibility and the susceptibility of the Fulde-Ferrell-Larkin-Ovchinnikov (FFLO)-like state obey simple additivity rules at low temperatures, indicating an existence of two free quantum fluids. The magnetic properties, such as magnetization and susceptibility, reveal three physical regions: quantum fluids at low temperatures, a non-Fermi liquid at high temperatures and the quantum fluid to non-Fermi liquid crossover in between. The lattice interaction is seen to significantly influence the nature of the FFLO-like state in 1D. Furthermore, we show that the dimensionless Wilson ratio provides an ideal parameter to map out the various phase boundaries and to characterize the two free fluids of the FLLO-like state. The quantum scaling functions for the thermal and magnetic properties yield the same dynamic critical exponent $z=2$ and correlation critical exponent $ν=1/2$ in the quantum critical region whenever a phase transition occurs. Our results provide a rigorous understanding of quantum criticality and free fluids of many-body systems on a 1D lattice.

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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