Smallest eigenvalue distribution of the fixed trace Laguerre beta-ensemble
Abstract
In this paper we study entanglement of the reduced density matrix of a bipartite quantum system in a random pure state. It transpires that this involves the computation of the smallest eigenvalue distribution of the fixed trace Laguerre ensemble of random matrices. We showed that for finite the smallest eigenvalue distribution may be expressed in terms of Jack polynomials. Furthermore, based on the exact results, we found, a limiting distribution, when the smallest eigenvalue is suitably scaled with followed by a large limit. Our results turn out to be the same as the smallest eigenvalue distribution of the classical Laguerre ensembles without the fixed trace constraint. This suggests in a broad sense, the global constraint does not influence local correlations, at least, in the large limit. Consequently, we have solved an open problem: The determination of the smallest eigenvalue distribution of the reduced density matrix---obtained by tracing out the environmental degrees of freedom---for a bipartite quantum system of unequal dimensions.
Keywords
Cite
@article{arxiv.1002.3975,
title = {Smallest eigenvalue distribution of the fixed trace Laguerre beta-ensemble},
author = {Yang Chen and Dang-Zheng Liu and Da-Sheng Zhou},
journal= {arXiv preprint arXiv:1002.3975},
year = {2015}
}
Comments
14 pages;we have revised our paper, so as that state in clearer way what we intend to do and the results we found