{ "id": "1210.2904", "version": "v1", "published": "2012-10-10T13:13:17.000Z", "updated": "2012-10-10T13:13:17.000Z", "title": "Distribution of Schmidt-like eigenvalues for Gaussian Ensembles of the Random Matrix Theory", "authors": [ "M. P. Pato", "G. Oshanin" ], "comment": "10 pages, 1 figure, submitted to JSTAT", "categories": [ "cond-mat.dis-nn", "cond-mat.stat-mech" ], "abstract": "We analyze the form of the probability distribution function P_{n}^{(\\beta)}(w) of the Schmidt-like random variable w = x_1^2/(\\sum_{j=1}^n x^{2}_j/n), where x_j are the eigenvalues of a given n \\times n \\beta-Gaussian random matrix, \\beta being the Dyson symmetry index. This variable, by definition, can be considered as a measure of how any individual eigenvalue deviates from the arithmetic mean value of all eigenvalues of a given random matrix, and its distribution is calculated with respect to the ensemble of such \\beta-Gaussian random matrices. We show that in the asymptotic limit n \\to \\infty and for arbitrary \\beta the distribution P_{n}^{(\\beta)}(w) converges to the Mar\\v{c}enko-Pastur form, i.e., is defined as P_{n}^{(\\beta)}(w) \\sim \\sqrt{(4 - w)/w} for w \\in [0,4] and equals zero outside of the support. Furthermore, for Gaussian unitary (\\beta = 2) ensembles we present exact explicit expressions for P_{n}^{(\\beta=2)}(w) which are valid for arbitrary n and analyze their behavior.", "revisions": [ { "version": "v1", "updated": "2012-10-10T13:13:17.000Z" } ], "analyses": { "keywords": [ "random matrix theory", "gaussian ensembles", "schmidt-like eigenvalues", "individual eigenvalue deviates", "dyson symmetry index" ], "tags": [ "journal article" ], "publication": { "doi": "10.1088/1751-8113/46/11/115002", "journal": "Journal of Physics A Mathematical General", "year": 2013, "month": "Mar", "volume": 46, "number": 11, "pages": 115002 }, "note": { "typesetting": "TeX", "pages": 10, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2013JPhA...46k5002P" } } }