{"title":"Inhomogeneous Floquet thermalization","authors":"Soumya Bera, Ishita Modak, Roderich Moessner","doi":"arxiv-2403.08369","DOIUrl":null,"url":null,"abstract":"How a closed system thermalizes, especially in the absence of global\nconservation laws but in the presence of disorder and interactions, is one of\nthe central questions in non-equilibrium statistical mechanics. We explore this\nfor a disordered, periodically driven Ising chain. Our numerical results reveal\ninhomogeneous thermalization leading to a distribution of thermalization\ntimescales within a single disordered sample, which we encode via a\ndistribution of effective local temperatures. Using this, we find an excellent\ncollapse $\\textit{without}$ $\\textit{any}$ $\\textit{fitting}$\n$\\textit{parameters}$ of the local relaxation dynamics for the entire range of\ndisorder values in the ergodic regime when adapting the disorder-averaged\ndiagonal entanglement entropy as internal `time' of the system. This approach\nevidences a remarkably uniform parametrization of the dynamical many-body\nevolution of local temperature within the otherwise highly heterogeneous\nergodic regime, independent of the strength of the disorder.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":"63 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.08369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
How a closed system thermalizes, especially in the absence of global
conservation laws but in the presence of disorder and interactions, is one of
the central questions in non-equilibrium statistical mechanics. We explore this
for a disordered, periodically driven Ising chain. Our numerical results reveal
inhomogeneous thermalization leading to a distribution of thermalization
timescales within a single disordered sample, which we encode via a
distribution of effective local temperatures. Using this, we find an excellent
collapse $\textit{without}$ $\textit{any}$ $\textit{fitting}$
$\textit{parameters}$ of the local relaxation dynamics for the entire range of
disorder values in the ergodic regime when adapting the disorder-averaged
diagonal entanglement entropy as internal `time' of the system. This approach
evidences a remarkably uniform parametrization of the dynamical many-body
evolution of local temperature within the otherwise highly heterogeneous
ergodic regime, independent of the strength of the disorder.