On a stochastic Cahn-Hilliard-Brinkman model

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Hauptverfasser: Brzeźniak, Z., Ngana, A. Ndongmo, Medjo, T. Tachim
Format: Preprint
Veröffentlicht: 2026
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author Brzeźniak, Z.
Ngana, A. Ndongmo
Medjo, T. Tachim
author_facet Brzeźniak, Z.
Ngana, A. Ndongmo
Medjo, T. Tachim
contents In this paper, we consider a stochastic version of the Cahn-Hilliard-Brinkman model in a smooth two- or three-dimensional domain with dynamical boundary conditions. The system describes creeping two-phase flows and is basically a coupling of the Brinkman equation for the velocity field that governs the flow through the porous media coupled with convective Cahn-Hilliard equations for the phase field, both with two independent sources of randomness given by general multiplicative-type Wiener noises in the Cahn-Hilliard equations. The existence of a weak solution, both in the probabilistic and PDEs sense, is proved. Our construction of a solution is based on the classical Faedo-Galerkin approximation, the Yosida approximation and uses a compactness method. Our paper is the first attempt to generalize the paper \cite{Colli+Knopf+Schimperna+Signor_2024} to a stochastic setting.
format Preprint
id arxiv_https___arxiv_org_abs_2601_06698
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On a stochastic Cahn-Hilliard-Brinkman model
Brzeźniak, Z.
Ngana, A. Ndongmo
Medjo, T. Tachim
Probability
Analysis of PDEs
In this paper, we consider a stochastic version of the Cahn-Hilliard-Brinkman model in a smooth two- or three-dimensional domain with dynamical boundary conditions. The system describes creeping two-phase flows and is basically a coupling of the Brinkman equation for the velocity field that governs the flow through the porous media coupled with convective Cahn-Hilliard equations for the phase field, both with two independent sources of randomness given by general multiplicative-type Wiener noises in the Cahn-Hilliard equations. The existence of a weak solution, both in the probabilistic and PDEs sense, is proved. Our construction of a solution is based on the classical Faedo-Galerkin approximation, the Yosida approximation and uses a compactness method. Our paper is the first attempt to generalize the paper \cite{Colli+Knopf+Schimperna+Signor_2024} to a stochastic setting.
title On a stochastic Cahn-Hilliard-Brinkman model
topic Probability
Analysis of PDEs
url https://arxiv.org/abs/2601.06698