Spectral Decimation of Quantum Many-Body Hamiltonians

Fuente: arXiv
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Autores principales: He, Feng, Hutsalyuk, Arthur, Mussardo, Giuseppe, Stampiggi, Andrea
Formato: Preprint
Publicado: 2026
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author He, Feng
Hutsalyuk, Arthur
Mussardo, Giuseppe
Stampiggi, Andrea
author_facet He, Feng
Hutsalyuk, Arthur
Mussardo, Giuseppe
Stampiggi, Andrea
contents We develop a systematic theory of spectral decimation for quantum many-body Hamiltonians and show that it provides a quantitative probe of emergent symmetries in statistically mixed spectra. Building on an analytical description of statistical mixtures, we derive an explicit expression for the size of a characteristic symmetry sector (CSS), defined as the largest subsequence of levels exhibiting non-Poissonian correlations. The CSS dimension is shown to be the size-biased average of the underlying symmetry sectors, establishing a direct link between spectral statistics and Hilbert-space structure. We apply this framework to two paradigmatic settings: Hilbert-space fragmentation and disorder-induced many-body localization (MBL). In fragmented systems, the CSS reproduces the mixture prediction and isolates correlated subsectors even when the full spectrum appears nearly Poissonian. In the disordered Heisenberg chain, spectral decimation reveals the gradual emergence of integrability through a shrinking CSS, whose statistics exhibit signatures consistent with local integrals of motion. We introduce a characteristic symmetry entropy (CSE) as a finite-size scaling observable and extract, within accessible system sizes, the crossover exponents. Our results establish spectral decimation as a controlled, unbiased and computationally inexpensive diagnostic of hidden structure in many-body spectra, capable of distinguishing between chaotic dynamics, statistical mixtures, and emergent integrability.
format Preprint
id arxiv_https___arxiv_org_abs_2602_20256
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Spectral Decimation of Quantum Many-Body Hamiltonians
He, Feng
Hutsalyuk, Arthur
Mussardo, Giuseppe
Stampiggi, Andrea
Statistical Mechanics
Disordered Systems and Neural Networks
Quantum Physics
We develop a systematic theory of spectral decimation for quantum many-body Hamiltonians and show that it provides a quantitative probe of emergent symmetries in statistically mixed spectra. Building on an analytical description of statistical mixtures, we derive an explicit expression for the size of a characteristic symmetry sector (CSS), defined as the largest subsequence of levels exhibiting non-Poissonian correlations. The CSS dimension is shown to be the size-biased average of the underlying symmetry sectors, establishing a direct link between spectral statistics and Hilbert-space structure. We apply this framework to two paradigmatic settings: Hilbert-space fragmentation and disorder-induced many-body localization (MBL). In fragmented systems, the CSS reproduces the mixture prediction and isolates correlated subsectors even when the full spectrum appears nearly Poissonian. In the disordered Heisenberg chain, spectral decimation reveals the gradual emergence of integrability through a shrinking CSS, whose statistics exhibit signatures consistent with local integrals of motion. We introduce a characteristic symmetry entropy (CSE) as a finite-size scaling observable and extract, within accessible system sizes, the crossover exponents. Our results establish spectral decimation as a controlled, unbiased and computationally inexpensive diagnostic of hidden structure in many-body spectra, capable of distinguishing between chaotic dynamics, statistical mixtures, and emergent integrability.
title Spectral Decimation of Quantum Many-Body Hamiltonians
topic Statistical Mechanics
Disordered Systems and Neural Networks
Quantum Physics
url https://arxiv.org/abs/2602.20256