On the asymptotic duality of spectral variances in random matrix theory and the "1/6" formula

Fuente: arXiv
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Autori principali: Tian, Peng, Riser, Roman, Kanzieper, Eugene
Natura: Preprint
Pubblicazione: 2026
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author Tian, Peng
Riser, Roman
Kanzieper, Eugene
author_facet Tian, Peng
Riser, Roman
Kanzieper, Eugene
contents A "mysterious" relation between the number variance and the variance of the $L$-th ordered eigenvalue, first suggested by French et al. [Ann. Phys. 113, 277 (1978)], is revisited and proven to be asymptotically exact for the $β=2$ Dyson symmetry class. Central to the proof is a previously unknown sum rule for the level spacing auto-covariances. Its derivation hinges on our previous work on the power spectrum description of eigenvalue fluctuations in random matrix theory. Analytical results for $β=2$ are complemented by conjectural extensions to the $β=1$ and $β=4$ symmetry classes. Our findings are corroborated by a comprehensive numerical analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2604_17150
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the asymptotic duality of spectral variances in random matrix theory and the "1/6" formula
Tian, Peng
Riser, Roman
Kanzieper, Eugene
Mathematical Physics
Disordered Systems and Neural Networks
High Energy Physics - Theory
A "mysterious" relation between the number variance and the variance of the $L$-th ordered eigenvalue, first suggested by French et al. [Ann. Phys. 113, 277 (1978)], is revisited and proven to be asymptotically exact for the $β=2$ Dyson symmetry class. Central to the proof is a previously unknown sum rule for the level spacing auto-covariances. Its derivation hinges on our previous work on the power spectrum description of eigenvalue fluctuations in random matrix theory. Analytical results for $β=2$ are complemented by conjectural extensions to the $β=1$ and $β=4$ symmetry classes. Our findings are corroborated by a comprehensive numerical analysis.
title On the asymptotic duality of spectral variances in random matrix theory and the "1/6" formula
topic Mathematical Physics
Disordered Systems and Neural Networks
High Energy Physics - Theory
url https://arxiv.org/abs/2604.17150