---

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

版	1st ed. 2016.
出版者	(Tokyo : Springer Japan : Imprint: Springer)
出版年	2016
大きさ	IX, 73 p. 9 illus : online resource
著者標目	*Hora, Akihito author SpringerLink (Online service)
件　名	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
一般注記	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

 類似資料