On Convergence of Moments for Random Young Tableaux and a Random Growth Model

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

In recent work of Baik, Deift and Rains convergence of moments was established for the limiting joint distribution of the lengths of the first k rows in random Young tableaux. The main difficulty was obtaining a good estimate for the tail of the distribution and this was accomplished through a highly nontrival Riemann-Hilbert analysis. Here we give a simpler derivation. The same method is used to establish convergence of moments for a random growth model.
LaTeX file, 8 pages. Later version includes growth model. Some changes in replacement

Keywords

Combinatorics, Probability

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/61951

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/math/0108008
 http://arxiv.org/abs/math/0108008

Collections

arXiv