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|a 10.1007/978-981-10-0275-5
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|a Katori, Makoto.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Bessel Processes, Schramm–Loewner Evolution, and the Dyson Model
|h [electronic resource] /
|c by Makoto Katori.
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| 250 |
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|a 1st ed. 2016.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2016.
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|a X, 141 p. 16 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
|b PDF
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|a SpringerBriefs in Mathematical Physics,
|x 2197-1757 ;
|v 11
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|a Preface -- 1 Bessel Process -- 2 Schramm-Loewner Evolution (SLE) -- 3 Dyson Model -- References -- Solutions -- Index.
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|a 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 β is introduced as a multivariate extension of BES(D) with the relation D = β + 1. The book concentrates on the case where β = 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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|a Mathematical physics.
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|a Probabilities.
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|a Statistical physics.
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|a Dynamical systems.
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|a Mathematical Physics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M35000
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|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
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|a Complex Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/P33000
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|a Statistical Physics and Dynamical Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/P19090
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9789811002748
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|i Printed edition:
|z 9789811002762
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|a SpringerBriefs in Mathematical Physics,
|x 2197-1757 ;
|v 11
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|u https://doi.org/10.1007/978-981-10-0275-5
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|a ZDB-2-SMA
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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