Numerical simulation of random Dirac operators

A Euclidean path integral over matrix Dirac operators associated to fuzzy spaces is investigated using analytical and numerical tools of random matrix theory. A numerical library for handling Monte Carlo integration of fuzzy Dirac operators is written and tested. The random matrix theory arising fro...

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Main Author: D'Arcangelo, Mauro
Format: Thesis (University of Nottingham only)
Language:English
Published: 2022
Subjects:
Online Access:https://eprints.nottingham.ac.uk/71106/
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author D'Arcangelo, Mauro
author_facet D'Arcangelo, Mauro
author_sort D'Arcangelo, Mauro
building Nottingham Research Data Repository
collection Online Access
description A Euclidean path integral over matrix Dirac operators associated to fuzzy spaces is investigated using analytical and numerical tools of random matrix theory. A numerical library for handling Monte Carlo integration of fuzzy Dirac operators is written and tested. The random matrix theory arising from the simplest class of fuzzy Dirac operators is solved exactly using the theory of Riemann-Hilbert problems, and the results are confirmed numerically. For higher classes of Dirac operators, where integration is extended over many Hermitian matrices, various local minima of the action are found by solving the equations of motion. Among others, su(2) solutions are shown to exist, and strong evidence is given of their realization in the asymptotic regime of the random model. Numerical data is collected in the vicinity of phase transitions occurring in various models, and it is shown how in certain cases they can be interpreted as transitions between a commutative and a non-commutative regime. Finally, a link is established between the action of fuzzy Dirac operators and Yang-Mills matrix models.
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format Thesis (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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publishDate 2022
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spelling nottingham-711062023-09-06T13:29:00Z https://eprints.nottingham.ac.uk/71106/ Numerical simulation of random Dirac operators D'Arcangelo, Mauro A Euclidean path integral over matrix Dirac operators associated to fuzzy spaces is investigated using analytical and numerical tools of random matrix theory. A numerical library for handling Monte Carlo integration of fuzzy Dirac operators is written and tested. The random matrix theory arising from the simplest class of fuzzy Dirac operators is solved exactly using the theory of Riemann-Hilbert problems, and the results are confirmed numerically. For higher classes of Dirac operators, where integration is extended over many Hermitian matrices, various local minima of the action are found by solving the equations of motion. Among others, su(2) solutions are shown to exist, and strong evidence is given of their realization in the asymptotic regime of the random model. Numerical data is collected in the vicinity of phase transitions occurring in various models, and it is shown how in certain cases they can be interpreted as transitions between a commutative and a non-commutative regime. Finally, a link is established between the action of fuzzy Dirac operators and Yang-Mills matrix models. 2022-12-14 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/71106/1/20220913_MauroDArcangelo_PhD_Thesis.pdf D'Arcangelo, Mauro (2022) Numerical simulation of random Dirac operators. PhD thesis, University of Nottingham. Dirac operators Yang-Mills Fuzzy spaces quantum gravity
spellingShingle Dirac operators
Yang-Mills
Fuzzy spaces
quantum gravity
D'Arcangelo, Mauro
Numerical simulation of random Dirac operators
title Numerical simulation of random Dirac operators
title_full Numerical simulation of random Dirac operators
title_fullStr Numerical simulation of random Dirac operators
title_full_unstemmed Numerical simulation of random Dirac operators
title_short Numerical simulation of random Dirac operators
title_sort numerical simulation of random dirac operators
topic Dirac operators
Yang-Mills
Fuzzy spaces
quantum gravity
url https://eprints.nottingham.ac.uk/71106/