{ "id": "1704.05205", "version": "v1", "published": "2017-04-18T05:23:03.000Z", "updated": "2017-04-18T05:23:03.000Z", "title": "Distances between Random Orthogonal Matrices and Independent Normals", "authors": [ "Tiefeng Jiang", "Yutao Ma" ], "comment": "42 pages", "categories": [ "math.PR" ], "abstract": "Let $\\Gamma_n$ be an $n\\times n$ Haar-invariant orthogonal matrix. Let $ Z_n$ be the $p\\times q$ upper-left submatrix of $\\Gamma_n,$ where $p=p_n$ and $q=q_n$ are two positive integers. Let $G_n$ be a $p\\times q$ matrix whose $pq$ entries are independent standard normals. In this paper we consider the distance between $\\sqrt{n} Z_n$ and $ G_n$ in terms of the total variation distance, the Kullback-Leibler distance, the Hellinger distance and the Euclidean distance. We prove that each of the first three distances goes to zero as long as $pq/n$ goes to zero, and not so this rate is sharp in the sense that each distance does not go to zero if $(p, q)$ sits on the curve $pq=\\sigma n$, where $\\sigma$ is a constant. However, it is different for the Euclidean distance, which goes to zero provided $pq^2/n$ goes to zero, and not so if $(p,q)$ sits on the curve $pq^2=\\sigma n.$ A previous work by Jiang \\cite{Jiang06} shows that the total variation distance goes to zero if both $p/\\sqrt{n}$ and $q/\\sqrt{n}$ go to zero, and it is not true provided $p=c\\sqrt{n}$ and $q=d\\sqrt{n}$ with $c$ and $d$ being constants. One of the above results confirms a conjecture that the total variation distance goes to zero as long as $pq/n\\to 0$ and the distance does not go to zero if $pq=\\sigma n$ for some constant $\\sigma$.", "revisions": [ { "version": "v1", "updated": "2017-04-18T05:23:03.000Z" } ], "analyses": { "subjects": [ "15B52", "28C10", "51F25", "60B15", "62E17" ], "keywords": [ "random orthogonal matrices", "total variation distance", "independent normals", "euclidean distance", "independent standard normals" ], "note": { "typesetting": "TeX", "pages": 42, "language": "en", "license": "arXiv", "status": "editable" } } }