Spectral Analysis of Growing Graphs / SpringerBriefs in Mathematical Physics Bd.20 (PDF)
A Quantum Probability Point of View
(Sprache: Englisch)
This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory. The main topics are spectral distributions of the adjacency...
sofort als Download lieferbar
eBook (pdf)
76.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Spectral Analysis of Growing Graphs / SpringerBriefs in Mathematical Physics Bd.20 (PDF)“
This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory. The main topics are spectral distributions of the adjacency matrices of finite or infinite graphs and their limit distributions for growing graphs. The main vehicle is quantum probability, an algebraic extension of the traditional probability theory, which provides a new framework for the analysis of adjacency matrices revealing their non-commutative nature. For example, the method of quantum decomposition makes it possible to study spectral distributions by means of interacting Fock spaces or equivalently by orthogonal polynomials. Various concepts of independence in quantum probability and corresponding central limit theorems are used for the asymptotic study of spectral distributions for product graphs.
This book is written for researchers, teachers, and students interested in graph spectra, their (asymptotic) spectral distributions, and various ideas and methods on the basis of quantum probability. It is also useful for a quick introduction to quantum probability and for an analytic basis of orthogonal polynomials.
Bibliographische Angaben
- Autor: Nobuaki Obata
- 2017, 1st ed. 2017, 138 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811035067
- ISBN-13: 9789811035067
- Erscheinungsdatum: 17.02.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.45 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Spectral Analysis of Growing Graphs / SpringerBriefs in Mathematical Physics Bd.20"
Schreiben Sie einen Kommentar zu "Spectral Analysis of Growing Graphs / SpringerBriefs in Mathematical Physics Bd.20".
Kommentar verfassen