activity
20022026
most citedCahn-Hilliard and Thin Film equations with nonlinear mobility as gradient flows in weighted-Wasserstein metrics

77 citations · 311 across the 32 of their papers we have counts for

collaborators

35 papers

math.AP2026

Nonlinear Diffusion Equations: Full characterization of Entropies

Anton Arnold, Jose A. Carrillo, Daniel Matthes

This paper is concerned with the large-time behavior of quasilinear Fokker-Planck equations with confinement on the whole space . It aims at characterizing all relati…

math.AP2023★ 3 cited

Covariance-modulated optimal transport and gradient flows

Martin Burger, Matthias Erbar, Franca Hoffmann +2

We study a variant of the dynamical optimal transport problem in which the energy to be minimised is modulated by the covariance matrix of the distribution. Such transport metrics…

math.DS2022★ 1 cited

Entropic transfer operators

Oliver Junge, Daniel Matthes, Bernhard Schmitzer

We propose a new concept for the regularization and discretization of transfer and Koopman operators in dynamical systems. Our approach is based on the entropically regularized opt…

math.AP2021★ 1 cited

Exponential convergence to equilibrium for coupled systems of nonlinear degenerate drift diffusion equations

Lisa Beck, Daniel Matthes, Martina Zizza

We study the existence and long-time asymptotics of weak solutions to a system of two nonlinear drift-diffusion equations that has a gradient flow structure in the Wasserstein dist…

math.AP2021

Gradient Flow Structure of a Multidimensional Nonlinear Sixth Order Quantum-Diffusion Equation

Daniel Matthes, Eva-Maria Rott

A nonlinear parabolic equation of sixth order is analyzed. The equation arises as a reduction of a model from quantum statistical mechanics, and also as the gradient flow of a seco…

math.AP2020

Construction of a two-phase flow with singular energy by gradient flow methods

Clément Cancès, Daniel Matthes

We prove the existence of weak solutions to a system of two diffusion equations that are coupled by a pointwise volume constraint. The time evolution is given by gradient dynamics…