Integrability and Chaos via fractal analysis of Spectral Form Factors: Gaussian approximations and exact results
Lorenzo Campos Venuti, Jovan Odavi\'c, Alioscia Hamma

TL;DR
This paper explores the chaotic nature of many-body Hamiltonians through fractal analysis of their spectral form factors, establishing connections with random walk theory, Gaussian approximations, and exact moment calculations.
Contribution
It introduces a fractal geometry approach to analyze spectral form factors, proving Gaussian and log-Normal distributions under specific conditions, and provides exact moments for random walks with unequal steps.
Findings
Chaotic Hamiltonians have a Hausdorff dimension approaching 4/3.
Non-integrable models' spectral form factors follow a Gaussian distribution.
Quasi-free Fermionic models exhibit a log-Normal distribution of the SFF.
Abstract
It is well known that the spectral form factor (SFF) of a possibly degenerate many-body Hamiltonian can be identified with a planar random walk taking steps of unequal length. In this paper we push this identification further and propose to study the chaotic content of a Hamiltonian via its associated random walk seen as a fractal, using the tools of fractal geometry. In particular we conjecture that for chaotic Hamiltonians the Hausdorff dimension of the frontier of the corresponding random walk approaches the universal value -- the same value obtained when the random walk describes a Wiener process. Our numerical simulations for non-integrable models confirm this expectation while for quasi-free integrable models we obtain a value . Additionally, we numerically show that ``Bethe Ansatz walkers'' fall into a category similar to the non-integrable walkers. To…
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