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Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems

Statistical Topology emerged as topological aspects continue to gain importance in many areas of physics. It is most desirable to study topological invariants and their statistics in schematic models that facilitate the identification of universalities. Here, the statistics of winding numbers and of...

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Detalles Bibliográficos
Autor principal: Guhr, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955588/
https://www.ncbi.nlm.nih.gov/pubmed/36832749
http://dx.doi.org/10.3390/e25020383
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author Guhr, Thomas
author_facet Guhr, Thomas
author_sort Guhr, Thomas
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description Statistical Topology emerged as topological aspects continue to gain importance in many areas of physics. It is most desirable to study topological invariants and their statistics in schematic models that facilitate the identification of universalities. Here, the statistics of winding numbers and of winding number densities are addressed. An introduction is given for readers with little background knowledge. Results that my collaborators and I obtained in two recent works on proper random matrix models for the chiral unitary and symplectic cases are reviewed, avoiding a technically detailed discussion. There is a special focus on the mapping of topological problems to spectral ones as well as on the first glimpse of universality.
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spelling pubmed-99555882023-02-25 Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems Guhr, Thomas Entropy (Basel) Article Statistical Topology emerged as topological aspects continue to gain importance in many areas of physics. It is most desirable to study topological invariants and their statistics in schematic models that facilitate the identification of universalities. Here, the statistics of winding numbers and of winding number densities are addressed. An introduction is given for readers with little background knowledge. Results that my collaborators and I obtained in two recent works on proper random matrix models for the chiral unitary and symplectic cases are reviewed, avoiding a technically detailed discussion. There is a special focus on the mapping of topological problems to spectral ones as well as on the first glimpse of universality. MDPI 2023-02-20 /pmc/articles/PMC9955588/ /pubmed/36832749 http://dx.doi.org/10.3390/e25020383 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guhr, Thomas
Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title_full Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title_fullStr Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title_full_unstemmed Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title_short Statistical Topology—Distribution and Density Correlations of Winding Numbers in Chiral Systems
title_sort statistical topology—distribution and density correlations of winding numbers in chiral systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955588/
https://www.ncbi.nlm.nih.gov/pubmed/36832749
http://dx.doi.org/10.3390/e25020383
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