papers

Publications (82)

math.PR2020

Nonlinear diffusion equations with nonlinear gradient noise

Konstantinos Dareiotis, Benjamin Gess

We prove the existence and uniqueness of entropy solutions for nonlinear diffusion equations with nonlinear conservative gradient noise. As particular applications our results incl…

math.PR2024

Conservative stochastic PDEs on the whole space

Benjamin Fehrman, Benjamin Gess

The purpose of this paper is to establish a well-posedness theory for conservative stochastic partial differential equations on the whole space. This class of stochastic PDEs arise…

math.PR2020

Path-by-path well-posedness of nonlinear diffusion equations with multiplicative noise

Benjamin Fehrman, Benjamin Gess

We prove the path-by-path well-posedness of stochastic porous media and fast diffusion equations driven by linear, multiplicative noise. As a consequence, we obtain the existence o…

math.PR2024

Conservative stochastic PDE and fluctuations of the symmetric simple exclusion process

Nicolas Dirr, Benjamin Fehrman, Benjamin Gess

In this paper, we provide a continuum model for the fluctuations of the symmetric simple exclusion process about its hydrodynamic limit. The model is based on an approximating sequ…

math.PR2019

Random attractors for locally monotone stochastic partial differential equations

Benjamin Gess, Wei Liu, Andre Schenke

We prove the existence of random dynamical systems and random attractors for a large class of locally monotone stochastic partial differential equations perturbed by additive Lévy…

math.PR2011

Strong Solutions for Stochastic Partial Differential Equations of Gradient Type

Benjamin Gess

Unique existence of analytically strong solutions to stochastic partial differential equations (SPDE) with drift given by the subdifferential of a quasi-convex function and with ge…