Scaling Relations of Spectrum Form Factor and Krylov Complexity at Finite Temperature

• URL: http://arxiv.org/abs/2401.10499v2
• Date: Wed, 18 Sep 2024 09:20:35 GMT
• Title: Scaling Relations of Spectrum Form Factor and Krylov Complexity at Finite Temperature
• Authors: Chengming Tan, Zhiyang Wei, Ren Zhang,
• Abstract summary: We extend the analysis to include the finite temperature effects on the Krylov complexity and SFF. Our work deepens the understanding of the finite temperature effects on Krylov complexity, SFF, and the connection between ergodicity and operator growth.
• Score: 2.25304964649011
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In the study of quantum chaos diagnostics, considerable attention has been attributed to the Krylov complexity and spectrum form factor (SFF) for systems at infinite temperature. These investigations have unveiled universal properties of quantum chaotic systems. By extending the analysis to include the finite temperature effects on the Krylov complexity and SFF, we demonstrate that the Lanczos coefficients $b_n$, which are associated with the Wightman inner product, display consistency with the universal hypothesis presented in PRX 9, 041017 (2019). This result contrasts with the behavior of Lanczos coefficients associated with the standard inner product. Our results indicate that the slope $\alpha$ of the $b_n$ is bounded by $\pi k_BT$, where $k_B$ is the Boltzmann constant and $T$ the temperature. We also investigate the SFF, which characterizes the two-point correlation of the spectrum and encapsulates an indicator of ergodicity denoted by $g$ in chaotic systems. Our analysis demonstrates that as the temperature decreases, the value of $g$ decreases as well. Considering that $\alpha$ also represents the operator growth rate, we establish a quantitative relationship between ergodicity indicator and Lanczos coefficients slope. To support our findings, we provide evidence using the Gaussian orthogonal ensemble and a random spin model. Our work deepens the understanding of the finite temperature effects on Krylov complexity, SFF, and the connection between ergodicity and operator growth.

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