English

Approximation of Beta-Jacobi ensembles by Beta-Laguerre ensembles

Probability 2018-07-11 v1

Abstract

Let λ\lambda and μ\mu be beta-Jacobi and beta-Laguerre ensembles with joint density function fβ,m,a1,a2f_{\beta, m, a_1, a_2} and fβ,m,a1f_{\beta, m, a_1}, respectively. Here β>0\beta>0 and a1,a2a_1, a_2 and mm satisfying . a1,a2>β2(m1).a_1, a_2>\frac{\beta}{2}(m-1). In this paper, we consider the distance between 2(a1+a2)λ2(a_1+a_2)\lambda and μ\mu in terms of total variation distance and Kullback-Leibler distance. Following the idea in \cite{JM2017}, we are able to prove that both the two distances go to zero once a1m=o(a2)a_1m=o(a_2) and not so if lima2a1m/a2=σ>0.\lim_{a_2\to\infty}a_1m/a_2=\sigma>0.

Keywords

Cite

@article{arxiv.1807.03446,
  title  = {Approximation of Beta-Jacobi ensembles by Beta-Laguerre ensembles},
  author = {Yutao Ma and Xinmei Shen},
  journal= {arXiv preprint arXiv:1807.03446},
  year   = {2018}
}

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34 pages