Global well-posedness for small data in a 3D temperature-velocity model with Dirichlet boundary noise
Gianmarco Del Sarto, Marta Lenzi

TL;DR
This paper proves local and high-probability global well-posedness for a 3D temperature-velocity system with boundary noise, for small initial data, using advanced stochastic PDE techniques.
Contribution
It establishes existence, uniqueness, and global estimates for a stochastic Boussinesq system with boundary noise in three dimensions, handling rough boundary-driven stochastic forcing.
Findings
Existence and uniqueness of solutions up to a stopping time for small initial data.
High-probability global existence estimate with probability at least 1 - Cε.
Solutions exhibit regularity in specific Sobolev spaces despite boundary noise.
Abstract
We study a three-dimensional Boussinesq-type temperature-velocity system on a bounded smooth domain , where the velocity solves the Navier-Stokes equations and the temperature is driven by Dirichlet boundary noise of intensity . The boundary forcing produces a stochastic convolution which is, in general, only continuous in time with values in . To handle this roughness together with initial data , we work in the ambient space with . Given a finite time , for any and sufficiently small initial data, we prove existence and uniqueness of a mild solution up to a stopping time…
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Taxonomy
TopicsNavier-Stokes equation solutions · Advanced Mathematical Physics Problems · Stability and Controllability of Differential Equations
