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20212026
most citedMartingale solutions to the stochastic thin-film equation in two dimensions

3 citations · 3 across the 10 of their papers we have counts for

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math.PR2026

The stochastic Keller--Segel system in critical spaces

Jae-Hwan Choi, Ankit Kumar, Andrea Pitrone +2

We study stochastic, parabolic-parabolic Keller--Segel equations on the -dimensional torus in scaling critical Besov spaces, for . Using stochastic maximal regularity…

math.PR2026

The Incompressible Navier--Stokes--Fourier System with Thermal Noise

Benjamin Gess, Max Sauerbrey, Zhengyan Wu

We establish a solution theory for the incompressible Navier--Stokes--Fourier system with thermal noise, posed on the three-dimensional torus. While in the incompressible determini…

math.PR2025

A stochastic flow approach to De Giorgi-Nash-Moser estimates for SPDEs with smooth transport noise

Antonio Agresti, Max Sauerbrey, Mark Veraar

The celebrated De Giorgi-Nash-Moser theory ensures that solutions to uniformly elliptic or parabolic PDEs are bounded and Hölder continuous, even with merely bounded measurable coe…

math.PR2023

Solutions to the stochastic thin-film equation for the range of mobility exponents

Max Sauerbrey

Recently, many existence results for the stochastic thin-film equation were established in the case of a quadratic mobility exponent , in which the noise term $\partial_x(u^\f…

math.PR2021

Dirichlet form analysis of the Jacobi process

Martin Grothaus, Max Sauerbrey

We construct and analyze the Jacobi process - in mathematical biology referred to as Wright-Fisher diffusion - using a Dirichlet form. The corresponding Dirichlet space takes the f…

math.PR2021★ 3 cited

Martingale solutions to the stochastic thin-film equation in two dimensions

Max Sauerbrey

We construct solutions to the stochastic thin-film equation with quadratic mobility and Stratonovich gradient noise in the physically relevant dimension and allow in particul…