2022
DOI: 10.1063/5.0078267
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Spectral statistics of Dirac ensembles

Abstract: In this paper, we find spectral properties in the large N limit of Dirac operators that come from random finite noncommutative geometries. In particular, for a Gaussian potential, the limiting eigenvalue spectrum is shown to be universal, regardless of the geometry, and is given by the convolution of the semicircle law with itself. For simple non-Gaussian models, this convolution property is also evident. In order to prove these results, we show that a wide class of multi-trace multimatrix models have a genus … Show more

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Cited by 9 publications
(22 citation statements)
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“…These objects are interesting purely from a random matrix perspective, of which very little is known in general. Relatively recently some universal properties were established in [30].…”
Section: Dirac Ensemblesmentioning
confidence: 99%
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“…These objects are interesting purely from a random matrix perspective, of which very little is known in general. Relatively recently some universal properties were established in [30].…”
Section: Dirac Ensemblesmentioning
confidence: 99%
“…As one might guess, there is a deep and not well understood relationship between them. The spectrum of the Dirac operator itself is not fully understood but displays some universal behaviors as seen in [30] and spectral phase transitions as seen in [5,24,29]. We are interested only in the simplest cases for now, partly because of the lack of analytical tools needed to study multi-matrix models.…”
Section: Dirac Ensemblesmentioning
confidence: 99%
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“…'Random NCG' is a short name for the construction of probability measures on families of finite-dimensional 2 Dirac operators, which is in line with equation (1.1). Since this partition function resembles the canonical ensemble in statistical physics, 'random NCG' is called 'Dirac ensembles' elsewhere [49]. Also the terminology 'dynamical fuzzy spectral triples' is used in [35], where the Batalin-Vilkovisky formalism is addressed for this type of models.…”
Section: Recent and Parallel Progress In Random Ncgmentioning
confidence: 99%