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Basic concepts of random matrix theory

Thesis (MSc (Physics))--University of Stellenbosch, 2005.

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Bibliographic Details
Main Author: Van Zyl, Alexis J.
Other Authors: Scholtz, Frederik G.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : University of Stellenbosch 2006
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access_status_str Open Access
author Van Zyl, Alexis J.
author2 Scholtz, Frederik G.
author_browse Scholtz, Frederik G.
Van Zyl, Alexis J.
author_facet Scholtz, Frederik G.
Van Zyl, Alexis J.
author_sort Van Zyl, Alexis J.
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MSc (Physics))--University of Stellenbosch, 2005.
format Thesis
id oai:scholar.sun.ac.za:10019.1/1624
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:41:01.634Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2006
publishDateRange 2006
publishDateSort 2006
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/1624 Basic concepts of random matrix theory Van Zyl, Alexis J. Scholtz, Frederik G. University of Stellenbosch. Faculty of Science. Dept. of Physics. Random matrices Gaussian processes Anderson model Statistical physics Dissertations -- Physics Theses -- Physics Thesis (MSc (Physics))--University of Stellenbosch, 2005. It was Wigner that in the 1950’s first introduced the idea of modelling physical reality with an ensemble of random matrices while studying the energy levels of heavy atomic nuclei. Since then, the field of Random Matrix Theory has grown tremendously, with applications ranging from fluctuations on the economic markets to M-theory. It is the purpose of this thesis to discuss the basic concepts of Random Matrix Theory, using the ensembles of random matrices originally introduced by Wigner, the Gaussian ensembles, as a starting point. As Random Matrix Theory is classically concerned with the statistical properties of levels sequences, we start with a brief introduction to the statistical analysis of a level sequence before getting to the introduction of the Gaussian ensembles. With the ensembles defined, we move on to the statistical properties that they predict. In the light of these predictions, a few of the classical applications of Random Matrix Theory are discussed, and as an example of some of the important concepts, the Anderson model of localization is investigated in some detail. 2006-11-16T06:43:49Z 2010-06-01T08:28:57Z 2006-11-16T06:43:49Z 2010-06-01T08:28:57Z 2005-12 Thesis http://hdl.handle.net/10019.1/1624 en_ZA University of Stellenbosch 2771011 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Random matrices
Gaussian processes
Anderson model
Statistical physics
Dissertations -- Physics
Theses -- Physics
Van Zyl, Alexis J.
Basic concepts of random matrix theory
title Basic concepts of random matrix theory
title_full Basic concepts of random matrix theory
title_fullStr Basic concepts of random matrix theory
title_full_unstemmed Basic concepts of random matrix theory
title_short Basic concepts of random matrix theory
title_sort basic concepts of random matrix theory
topic Random matrices
Gaussian processes
Anderson model
Statistical physics
Dissertations -- Physics
Theses -- Physics
url http://hdl.handle.net/10019.1/1624
work_keys_str_mv AT vanzylalexisj basicconceptsofrandommatrixtheory