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Spectral estimators for finite non-commutative geometries

Barrett, John W.; Druce, Paul; Glaser, Lisa

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Authors

JOHN BARRETT john.barrett@nottingham.ac.uk
Professor of Mathematical Physics

Paul Druce

Lisa Glaser



Abstract

A finite non-commutative geometry consists of a fuzzy space together with a Dirac operator satisfying the axioms of a real spectral triple. This paper addreses the question of how to extract information about these geometries from the spectrum of the Dirac operator. Since the Dirac operator is a finite-dimensional matrix, the usual asymptotics of the eigenvalues makes no sense and is replaced by measurements of the spectrum at a finite energy scale. The spectral dimension of the square of the Dirac operator is improved to provide a new spectral measure of the dimension of a space called the spectral variance. Similarly, the volume of a space can be computed from the spectrum once the dimension is known. Two methods of doing this are investigated: the well-known Dixmier trace and a recent improvement due to Abel Stern. Finally, the distance between two geometries is investigated by comparing the spectral zeta functions using the method of Cornelissen and Kontogeorgis. All of these techniques are tested on the explicit examples of the fuzzy spheres and fuzzy tori, which can be regarded as approximations of the usual Riemannian sphere and flat tori. Then they are applied to characterise some random fuzzy spaces using data generated by a Monte Carlo simulation.

Citation

Barrett, J. W., Druce, P., & Glaser, L. (2019). Spectral estimators for finite non-commutative geometries. Journal of Physics A: Mathematical and Theoretical, 52(27), https://doi.org/10.1088/1751-8121/ab22f8

Journal Article Type Article
Acceptance Date May 20, 2019
Online Publication Date May 20, 2019
Publication Date May 20, 2019
Deposit Date May 29, 2019
Publicly Available Date Mar 29, 2024
Journal Journal of Physics A: Mathematical and Theoretical
Print ISSN 1751-8113
Electronic ISSN 1751-8121
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 52
Issue 27
DOI https://doi.org/10.1088/1751-8121/ab22f8
Keywords Modelling and simulation; Statistics and probability; Mathematical physics; General physics and astronomy; Statistical and nonlinear physics
Public URL https://nottingham-repository.worktribe.com/output/2104173
Publisher URL https://iopscience.iop.org/article/10.1088/1751-8121/ab22f8
Additional Information This is an author-created, un-copyedited version of an article accepted for publication in Journal of Physics A: Mathematical and Theoretical. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://iopscience.iop.org/article/10.1088/1751-8121/ab22f8

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