{ "id": "1307.0600", "version": "v3", "published": "2013-07-02T07:10:32.000Z", "updated": "2015-12-21T13:48:47.000Z", "title": "Moments and growth indices for the nonlinear stochastic heat equation with rough initial conditions", "authors": [ "Le Chen", "Robert C. Dalang" ], "comment": "Published at http://dx.doi.org/10.1214/14-AOP954 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)", "journal": "Annals of Probability 2015, Vol. 43, No. 6, 3006-3051", "doi": "10.1214/14-AOP954", "categories": [ "math.PR" ], "abstract": "We study the nonlinear stochastic heat equation in the spatial domain $\\mathbb {R}$, driven by space-time white noise. A central special case is the parabolic Anderson model. The initial condition is taken to be a measure on $\\mathbb {R}$, such as the Dirac delta function, but this measure may also have noncompact support and even be nontempered (e.g., with exponentially growing tails). Existence and uniqueness of a random field solution is proved without appealing to Gronwall's lemma, by keeping tight control over moments in the Picard iteration scheme. Upper bounds on all $p$th moments $(p\\ge2)$ are obtained as well as a lower bound on second moments. These bounds become equalities for the parabolic Anderson model when $p=2$. We determine the growth indices introduced by Conus and Khoshnevisan [Probab. Theory Related Fields 152 (2012) 681-701].", "revisions": [ { "version": "v2", "updated": "2014-08-13T10:58:50.000Z", "abstract": "We study the nonlinear stochastic heat equation in the spatial domain $\\mathbb{R}$, driven by space-time white noise. A central special case is the parabolic Anderson model. The initial condition is taken to be a measure on $\\mathbb{R}$, such as the Dirac delta function, but this measure may also have non-compact support and even be non-tempered (for instance with exponentially growing tails). Existence and uniqueness of a random field solution is proved without appealing to Gronwall's lemma, by keeping tight control over moments in the Picard iteration scheme. Upper and lower bounds on all $p$-th moments $(p\\ge 2)$ are obtained. These bounds become equalities for the parabolic Anderson model when $p=2$. We determine the growth indices introduced by Conus and Khoshnevisan.", "comment": "Revised version to appear in Ann. Probab. The organization of the paper has been changed. 45 pages, 1 figure. arXiv admin note: text overlap with arXiv:1210.1690", "journal": null, "doi": null }, { "version": "v3", "updated": "2015-12-21T13:48:47.000Z" } ], "analyses": { "subjects": [ "10H15", "60H60", "35H60" ], "keywords": [ "nonlinear stochastic heat equation", "rough initial conditions", "growth indices", "parabolic anderson model", "central special case" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 45, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2013arXiv1307.0600C" } } }