{ "id": "2012.12512", "version": "v1", "published": "2020-12-23T06:45:49.000Z", "updated": "2020-12-23T06:45:49.000Z", "title": "Phase Analysis for a family of Stochastic Reaction-Diffusion Equations", "authors": [ "Davar Khoshnevisan", "Kunwoo Kim", "Carl Mueller", "Shang-Yuan Shiu" ], "comment": "69 pages", "categories": [ "math.PR" ], "abstract": "We consider a reaction-diffusion equation of the type \\[ \\partial_t\\psi = \\partial^2_x\\psi + V(\\psi) + \\lambda\\sigma(\\psi)\\dot{W} \\qquad\\text{on $(0\\,,\\infty)\\times\\mathbb{T}$}, \\] subject to a \"nice\" initial value and periodic boundary, where $\\mathbb{T}=[-1\\,,1]$ and $\\dot{W}$ denotes space-time white noise. The reaction term $V:\\mathbb{R}\\to\\mathbb{R}$ belongs to a large family of functions that includes Fisher--KPP nonlinearities [$V(x)=x(1-x)$] as well as Allen-Cahn potentials [$V(x)=x(1-x)(1+x)$], the multiplicative nonlinearity $\\sigma:\\mathbb{R}\\to\\mathbb{R}$ is non random and Lipschitz continuous, and $\\lambda>0$ is a non-random number that measures the strength of the effect of the noise $\\dot{W}$. The principal finding of this paper is that: (i) When $\\lambda$ is sufficiently large, the above equation has a unique invariant measure; and (ii) When $\\lambda$ is sufficiently small, the collection of all invariant measures is a non-trivial line segment, in particular infinite. This proves an earlier prediction of Zimmerman et al. (2000). Our methods also say a great deal about the structure of these invariant measures.", "revisions": [ { "version": "v1", "updated": "2020-12-23T06:45:49.000Z" } ], "analyses": { "subjects": [ "60H15", "35R60" ], "keywords": [ "stochastic reaction-diffusion equations", "phase analysis", "denotes space-time white noise", "unique invariant measure", "non-trivial line segment" ], "note": { "typesetting": "TeX", "pages": 69, "language": "en", "license": "arXiv", "status": "editable" } } }