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The Limit Shape Problem for Ensembles of Young Diagrams / by Akihito Hora
(SpringerBriefs in Mathematical Physics. ISSN:21971765 ; 17)

Edition 1st ed. 2016.
Publisher (Tokyo : Springer Japan : Imprint: Springer)
Year 2016
Size IX, 73 p. 9 illus : online resource
Authors *Hora, Akihito author
SpringerLink (Online service)
Subjects LCSH:Mathematical physics
LCSH:Topological groups
LCSH:Lie groups
LCSH:Group theory
LCSH:Probabilities
LCSH:System theory
FREE:Mathematical Physics
FREE:Topological Groups and Lie Groups
FREE:Group Theory and Generalizations
FREE:Probability Theory
FREE:Complex Systems
FREE:Theoretical, Mathematical and Computational Physics
Notes 1. Introduction -- 2. Prerequisite materials -- 2.1 representations of the symmetric group -- 2.2 free probability -- 2.3 ensembles of Young diagrams -- 3. Analysis of the Kerov—Olshanski algebra -- 3.1 polynomial functions of Young diagrams -- 3.2 Kerov polynomials -- 4. Static model -- 4.1 Plancherel ensemble -- 4.2 Thoma and other ensembles -- 5. Dynamic model -- 5.1 hydrodynamic limit for the Plancherel ensemble
This book treats ensembles of Young diagrams originating from group-theoretical contexts and investigates what statistical properties are observed there in a large-scale limit. The focus is mainly on analyzing the interesting phenomenon that specific curves appear in the appropriate scaling limit for the profiles of Young diagrams. This problem is regarded as an important origin of recent vital studies on harmonic analysis of huge symmetry structures. As mathematics, an asymptotic theory of representations is developed of the symmetric groups of degree n as n goes to infinity. The framework of rigorous limit theorems (especially the law of large numbers) in probability theory is employed as well as combinatorial analysis of group characters of symmetric groups and applications of Voiculescu's free probability. The central destination here is a clear description of the asymptotic behavior of rescaled profiles of Young diagrams in the Plancherel ensemble from both static and dynamic points of view
HTTP:URL=https://doi.org/10.1007/978-4-431-56487-4
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Springer eBooks 9784431564874
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Material Type E-Book
Classification LCC:QC19.2-20.85
DC23:530.15
ID 4000117049
ISBN 9784431564874

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