{ "id": "1109.0611", "version": "v3", "published": "2011-09-03T09:47:20.000Z", "updated": "2013-10-28T16:09:27.000Z", "title": "On the rate of convergence to the semi-circular law", "authors": [ "Friedrich Götze", "Alexander Tikhomirov" ], "comment": "This version fills a gap in the previous version using martingale large deviation bounds. Here iterative expansions are used in Section 4, Proposition 4.1 with supporting bounds in Section 3, Lemmas 3.2--3.9, together with expansion of resolvents in rows and columns and re-expressing some terms again in the original resolvents (e.g. (3.45)) and Lemmas 3.10--3.19", "categories": [ "math.PR" ], "abstract": "Let $\\mathbf X=(X_{jk})$ denote a Hermitian random matrix with entries $X_{jk}$, which are independent for $1\\le j\\le k$. We consider the rate of convergence of the empirical spectral distribution function of the matrix $\\mathbf X$ to the semi-circular law assuming that $\\mathbf E X_{jk}=0$, $\\mathbf E X_{jk}^2=1$ and that the distributions of the matrix elements $X_{jk}$ have a uniform sub exponential decay in the sense that there exists a constant $\\varkappa>0$ such that for any $1\\le j\\le k\\le n$ and any $t\\ge 1$ we have $$ \\Pr\\{|X_{jk}|>t\\}\\le \\varkappa^{-1}\\exp\\{-t^{\\varkappa}\\}. $$ By means of a recursion argument it is shown that the Kolmogorov distance between the empirical spectral distribution of the Wigner matrix $\\mathbf W=\\frac1{\\sqrt n}\\mathbf X$ and the semicircular law is of order $O(n^{-1}\\log^b n)$ with some positive constant $b>0$.", "revisions": [ { "version": "v3", "updated": "2013-10-28T16:09:27.000Z" } ], "analyses": { "subjects": [ "60B20", "15B52" ], "keywords": [ "semi-circular law", "convergence", "uniform sub exponential decay", "hermitian random matrix", "empirical spectral distribution function" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2011arXiv1109.0611G" } } }