Brickwall One-Loop Determinant: Spectral Statistics & Krylov Complexity
Hyun-Sik Jeong, Arnab Kundu, Juan F. Pedraza

TL;DR
This paper explores the quantum chaotic properties of the brickwall model in BTZ black hole geometry, analyzing spectral statistics and Krylov complexity to identify chaos signatures without relying on classical interior geometries.
Contribution
It demonstrates that the brickwall model exhibits quantum chaos features such as Wigner-Dyson statistics and spectral form factor ramp, using boundary conditions on the stretched horizon.
Findings
Spectral statistics match random matrix theory ensembles.
Krylov complexity shows a peak indicative of chaos.
Spectral rigidity alone can produce Krylov complexity peaks.
Abstract
We investigate quantum chaotic features of the brickwall model, which is obtained by introducing a stretched horizon - a Dirichlet wall placed outside the event horizon - within the BTZ geometry. This simple yet effective model has been shown to capture key properties of quantum black holes and is motivated by the stringy fuzzball proposal. We analyze the dynamics of both scalar and fermionic probe fields, deriving their normal mode spectra with Gaussian-distributed boundary conditions on the stretched horizon. By interpreting these normal modes as energy eigenvalues, we examine spectral statistics, including level spacing distributions, the spectral form factor, and Krylov state complexity as diagnostics for quantum chaos. Our results show that the brickwall model exhibits features consistent with random matrix theory across various ensembles as the standard deviation of the Gaussian…
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Taxonomy
TopicsNeural Networks and Applications
