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.


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:
Journal Article
Journal or Publication Title:
Uncontrolled Keywords:
?? infinite symmetic grouplogarithmic sobolev inequalityyoung tableauxstatistics and probabilityqa mathematics ??
ID Code:
Deposited By:
Deposited On:
18 Feb 2008 09:35
Last Modified:
19 Apr 2024 00:40