Correlation functions for random involutions
Abstract
Our interest is in the scaled joint distribution associated with -increasing subsequences for random involutions with a prescribed number of fixed points. We proceed by specifying in terms of correlation functions the same distribution for a Poissonized model in which both the number of symbols in the involution, and the number of fixed points, are random variables. From this, a de-Poissonization argument yields the scaled correlations and distribution function for the random involutions. These are found to coincide with the same quantities known in random matrix theory from the study of ensembles interpolating between the orthogonal and symplectic universality classes at the soft edge, the interpolation being due to a rank 1 perturbation.
Cite
@article{arxiv.math/0503074,
title = {Correlation functions for random involutions},
author = {Peter J. Forrester and Taro Nagao and Eric M. Rains},
journal= {arXiv preprint arXiv:math/0503074},
year = {2007}
}
Comments
27 pages, 1 figure, minor corrections made