Abstract

We study aspects of chaos and thermodynamics at strong coupling in a scalar model using LCT numerical methods. We find that our eigenstate spectrum satisfies Wigner-Dyson statistics and that the coefficients describing eigenstates in our basis satisfy Random Matrix Theory (RMT) statistics. At weak coupling, though the bulk of states satisfy RMT statistics, we find several scar states as well. We then use these chaotic states to compute the equation of state of the model, obtaining results consistent with Conformal Field Theory (CFT) expectations at temperatures above the scale of relevant interactions. We also test the Eigenstate Thermalization Hypothesis by computing the expectation value of local operators in eigenstates, and check that their behavior is consistent with thermal CFT values at high temperatures. Finally, we compute the Spectral Form Factor (SFF), which has the expected behavior associated with the equation of state at short times and chaos at long times. We also propose a new technique for extracting the connected part of the SFF without the need of disorder averaging by using different symmetry sectors.

Details

Title
Thermalization and chaos in a 1+1d QFT
Author
Delacrétaz, Luca V. 1   VIAFID ORCID Logo  ; Fitzpatrick, A. Liam 2 ; Katz, Emanuel 2 ; Walters, Matthew T. 3 

 University of Chicago, Kadanoff Center for Theoretical Physics and Enrico Fermi Institute, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822) 
 Boston University, Department of Physics, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
 Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000000121839049); Université de Genève, Department of Theoretical Physics, Genève, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2322 4988) 
Pages
45
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
e-ISSN
10298479
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2772900373
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.