Parabolic stochastic PDEs on bounded domains with rough initial conditions: moment and correlation bounds

We consider nonlinear parabolic stochastic PDEs on a bounded Lipschitz domain driven by a Gaussian noise that is white in time and colored in space, with Dirichlet or Neumann boundary condition. We establish existence, uniqueness and moment bounds of the random field solution under measure-valued in...

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Bibliographic Details
Published in:arXiv.org 2023-08
Main Authors: Candil, David, Chen, Le, Cheuk Yin Lee
Format: Article
Language:English
Subjects:
Boundary conditions
Differential equations
Dirichlet problem
Domains
Eigenvectors
Fields (mathematics)
Initial conditions
Lower bounds
Operators (mathematics)
Random noise
Stochastic processes
Online Access:Get full text
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Summary:We consider nonlinear parabolic stochastic PDEs on a bounded Lipschitz domain driven by a Gaussian noise that is white in time and colored in space, with Dirichlet or Neumann boundary condition. We establish existence, uniqueness and moment bounds of the random field solution under measure-valued initial data \(\nu\). We also study the two-point correlation function of the solution and obtain explicit upper and lower bounds. For \(C^{1, \alpha}\)-domains with Dirichlet condition, the initial data \(\nu\) is not required to be a finite measure and the moment bounds can be improved under the weaker condition that the leading eigenfunction of the differential operator is integrable with respect to \(|\nu|\). As an application, we show that the solution is fully intermittent for sufficiently high level \(\lambda\) of noise under the Dirichlet condition, and for all \(\lambda > 0\) under the Neumann condition.
ISSN:2331-8422