Bessel Processes, Schramm-Loewner Evolution, and the Dyson Model

Lieferzeit: Lieferbar innerhalb 14 Tagen

64,19 

SpringerBriefs in Mathematical Physics 11

ISBN: 9811002746
ISBN 13: 9789811002748
Autor: Katori, Makoto
Verlag: Springer Verlag GmbH
Umfang: x, 141 S., 16 farbige Illustr., 141 p. 16 illus. in color.
Erscheinungsdatum: 16.02.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

Discusses the new trend in which complex analysis is applied, in contrast to original probability theory and statistical mechanicsIncludes new topics such as the Schramm-Loewner evolution and the random matrix theoryRelates topics not only to probability theory and statistical mechanics but also to quantum integrable systems, representation theory, enumerative combinatorics, conformal field theory, and functional analysisIncludes supplementary material: sn.pub/extras

Artikelnummer: 8827937 Kategorie:

Beschreibung

The purpose of this book is to introduce two recent topics in mathematical physics and probability theory: the Schramm-Loewner evolution (SLE) and interacting particle systems related to random matrix theory. A typical example of the latter systems is Dyson's Brownian motion (BM) model. The SLE and Dyson's BM model may be considered as "children" of the Bessel process with parameter D, BES(D), and the SLE and Dyson's BM model as "grandchildren" of BM. In Chap. 1 the parenthood of BM in diffusion processes is clarified and BES(D) is defined for any D  1. Dependence of the BES(D) path on its initial value is represented by the Bessel flow. In Chap. 2 SLE is introduced as a complexification of BES(D). Rich mathematics and physics involved in SLE are due to the nontrivial dependence of the Bessel flow on D. From a result for the Bessel flow, Cardy's formula in Carleson's form is derived for SLE. In Chap. 3 Dyson's BM model with parameter  is introduced as a multivariate extension of BES(D) with the relation D =  + 1. The book concentrates on the case where  = 2 and calls this case simply the Dyson model.The Dyson model inherits the two aspects of BES(3); hence it has very strong solvability. That is, the process is proved to be determinantal in the sense that all spatio-temporal correlation functions are given by determinants, and all of them are controlled by a single function called the correlation kernel. From the determinantal structure of the Dyson model, the Tracy-Widom distribution is derived. 

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