On Convergence of Moments for Random Young Tableaux and a Random Growth Model
Combinatorics
2007-05-23 v3 Probability
Abstract
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.
Keywords
Cite
@article{arxiv.math/0108008,
title = {On Convergence of Moments for Random Young Tableaux and a Random Growth Model},
author = {Harold Widom},
journal= {arXiv preprint arXiv:math/0108008},
year = {2007}
}
Comments
LaTeX file, 8 pages. Later version includes growth model. Some changes in replacement