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20162026
most citedGradient flow formulation and longtime behaviour of a constrained Fokker-Planck equation

10 citations · 20 across the 13 of their papers we have counts for

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12 papers · 1 filter

math.AP2026

ACF Almost Monotonicity at Infinity with Applications to Perturbed Global Solutions

Simon Eberle, Anthony Salib, Georg S. Weiss +1

We study the large-scale behavior of the coincidence set of perturbations of global solutions to the classical obstacle problem in , with blow-down invar…

math.AP2023

Solutions to the nonlinear obstacle problem with compact contact sets

Simon Eberle, Hui Yu

For the obstacle problem with a nonlinear operator, we characterize the space of global solutions with compact contact sets. This is achieved by constructing a bijection onto a cla…

math.AP2023

Compact contact sets of sub-quadratic solutions to the thin obstacle problem

Simon Eberle, Hui Yu

We study global solutions to the thin obstacle problem with at most quadratic growth at infinity. We show that every ellipsoid can be realized as the contact set of such a solution…

math.AP2022★ 1 cited

Complete classification of global solutions to the obstacle problem

Simon Eberle, Alessio Figalli, Georg S. Weiss

The characterization of global solutions to the obstacle problems in , or equivalently of null quadrature domains, has been studied over more than 90 years. In this p…

math.AP2022

The structure of the regular part of the free boundary close to singularities in the obstacle problem

Simon Eberle, Henrik Shahgholian, Georg Sebastian Weiss

We prove the -- to the best knowledge of the authors -- first result on the fine asymptotic behavior of the regular part of the free boundary of the obstacle problem close to singu…

math.AP2020

Characterizing compact coincidence sets in the obstacle problem -- a short proof

Simon Eberle, Georg S. Weiss

Motivated by the almost completely open problem of characterizing unbounded coincidence sets of global solutions of the classical obstacle problem in higher dimensions, we give in…