activity
20192026
most citedConvergence rates for the numerical approximation of the 2D stochastic Navier-Stokes equations

1 citations · 1 across the 8 of their papers we have counts for

collaborators

10 papers

math.FA2026

Compactness in Combinatorial Banach Spaces and Beyond

Jacek Gulgowski, Paweł Sawicki

In this paper we are going to discuss compactness in combinatorial Banach spaces. After discussing the definition and structure of these spaces, we proceed to propose compactness c…

math.NA2026

Error analysis for 3D Navier--Stokes equations with additive noise

Soumya Ranjan Behera, Dominic Breit, Abhishek Chaudhary

We consider the three-dimensional stochastic Navier--Stokes equations with additive stochastic forcing. We study temporal discretizations based on a semi-implicit Euler as well as…

math.AP2026

Well-posedness theorems in fluid-structure interaction: perfectly elastic shells

Dominic Breit, Prince Romeo Mensah, Sebastian Schwarzacher +1

In this work, we consider the interaction of a 3D incompressible fluid with a 2D flexible shell that occupies (a part of) the boundary of the fluid domain. We assume that the shell…

math.NA2026

A Higher Order Discretization for the Stochastic Navier--Stokes equations with additive Noise

L. Banas, D. Breit, A. Chaudhary +1

We propose a new higher-order time discretization scheme for the stochastic Navier--Stokes equations with additive noise, where its velocity and pressure approximates converge at s…

math.AP2025

Compressible Euler equations with transport noise

Richard Boadi, Dominic Breit, Thamsanqa Castern Moyo

We study the isentropic compressible Euler equations in multi-dimensions with stochastic perturbation of transport type. On the one hand, this is motivated by the physical modellin…

math.NA2025

Numerical analysis of the stochastic Navier-Stokes equations

Dominic Breit, Andreas Prohl, Jörn Wichmann

The developments over the last five decades concerning numerical discretisations of the incompressible Navier--Stokes equations have lead to reliable tools for their approximation:…