Estimation of equilibration time scales from nested fraction approximations

Christian Bartsch, Anatoly Dymarsky, Mats H. Lamann, Jiaozi Wang, Robin Steinigeweg, Jochen Gemmer

Research output: Contribution to journalArticlepeer-review

Abstract

We consider an autocorrelation function of a quantum mechanical system through the lens of the so-called recursive method, by iteratively evaluating Lanczos coefficients or solving a system of coupled differential equations in the Mori formalism. We first show that both methods are mathematically equivalent, each offering certain practical advantages. We then propose an approximation scheme to evaluate the autocorrelation function and use it to estimate the equilibration time τ for the observable in question. With only a handful of Lanczos coefficients as the input, this scheme yields an accurate order of magnitude estimate of τ, matching state-of-the-art numerical approaches. We develop a simple numerical scheme to estimate the precision of our method. We test our approach using several numerical examples exhibiting different relaxation dynamics. Our findings provide a practical way to quantify the equilibration time of isolated quantum systems, a question which is both crucial and notoriously difficult.

Original languageEnglish
Article number024126
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume110
Issue number2
DOIs
StatePublished - Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 American Physical Society.

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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