{ "id": "1407.5402", "version": "v2", "published": "2014-07-21T07:48:36.000Z", "updated": "2014-10-06T12:10:24.000Z", "title": "From Sine kernel to Poisson statistics", "authors": [ "Romain Allez", "Laure Dumaz" ], "comment": "24 pages, 5 figures", "categories": [ "math.PR", "cond-mat.stat-mech" ], "abstract": "We study the Sine$_\\beta$ process introduced in [B. Valk\\'o and B. Vir\\'ag. Invent. math. (2009)] when the inverse temperature $\\beta$ tends to 0. This point process has been shown to be the scaling limit of the eigenvalues point process in the bulk of $\\beta$-ensembles and its law is characterized in terms of the winding numbers of the Brownian carrousel at different angular speeds. After a careful analysis of this family of coupled diffusion processes, we prove that the Sine$_\\beta$ point process converges weakly to a Poisson point process on $\\mathbb{R}$. Thus, the Sine$_\\beta$ point processes establish a smooth crossover between the rigid clock (or picket fence) process (corresponding to $\\beta=\\infty$) and the Poisson process.", "revisions": [ { "version": "v1", "updated": "2014-07-21T07:48:36.000Z", "abstract": "We study the Sine$_\\beta$ process introduced in [B. Valk\\'o and B. Vir\\'ag. Invent. math. (2009)] when the inverse temperature $\\beta$ tends to $0$. This point process has been shown to be the scaling limit of the eigenvalues point process in the bulk of $\\beta$-ensembles and its law is characterized in terms of the winding numbers of the Brownian carrousel at different angular speeds. After a careful analysis of this family of coupled diffusion processes, we prove that the Sine$_\\beta$ point process converges weakly to a Poisson point process on $\\mathbb{R}$. Thus, the Sine$_\\beta$ point processes establish a smooth crossover between the Sine kernel process (corresponding to $\\beta=2$) and the Poisson process.", "comment": "22 pages, 5 figures", "journal": null, "doi": null }, { "version": "v2", "updated": "2014-10-06T12:10:24.000Z" } ], "analyses": { "keywords": [ "poisson statistics", "poisson point process", "eigenvalues point process", "sine kernel process", "inverse temperature" ], "note": { "typesetting": "TeX", "pages": 24, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2014arXiv1407.5402A" } } }