Lancaster EPrints

Transportation of measure, Young diagrams and random matrices.

Blower, Gordon (2004) Transportation of measure, Young diagrams and random matrices. Bernoulli, 10 (5). pp. 755-782. ISSN 1350-7265

Full text not available from this repository.

Abstract

The theory of transportation of mesure for general cost functions is used to obtain a novel logarithmic Sobolev inequality for measures on phase spaces of high dimension and hence a concentration of measure inequality. The are applications to Plancherel measure associated with the symmetric group, the distribution of Young diagrams partitioning N as N tends to infinity and to the mean field theory of random matrices. For the portential Gamma (N+1), the generalized orthogonal ensemble and its empirical eigenvalue distribution satisfy a Gaussian concentration of measure phenomenon. Hence the empirical eigenvalue distribution converges weakly almost surely as the matix size increases; the limiting density is given by the derivative of the Vershik probability density.

Item Type: Article
Journal or Publication Title: Bernoulli
Uncontrolled Keywords: infinite symmetic group ; logarithmic Sobolev inequality ; Young tableaux
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 1698
Deposited By: Professor Gordon Blower
Deposited On: 18 Feb 2008 09:35
Refereed?: Yes
Published?: Published
Last Modified: 03 Dec 2016 01:15
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/1698

Actions (login required)

View Item