We consider minimizers of the one-phase Bernoulli free boundary problem in domains with analytic fixed boundary. In any dimension d, we prove that the branching set at the boundary has Hausdorff dimension at most d − 2. As a consequence, we also obtain an analogous estimate on the branching set for solutions to the two-phase problem under an analytic separation condition. Moreover, as a byproduct of our analysis we obtain strong boundary unique continuation results for quasilinear operators and thin-obstacle variational inequalities. The approach we use is based on the (almost-)monotonicity of a boundary Almgren-type frequency function, obtained via regularity estimates and a Calderón-Zygmund decomposition in the spirit of Almgren-De Lellis-Spadaro.

On the boundary branching set of the one-phase problem

Ferreri, Lorenzo;
2024

Abstract

We consider minimizers of the one-phase Bernoulli free boundary problem in domains with analytic fixed boundary. In any dimension d, we prove that the branching set at the boundary has Hausdorff dimension at most d − 2. As a consequence, we also obtain an analogous estimate on the branching set for solutions to the two-phase problem under an analytic separation condition. Moreover, as a byproduct of our analysis we obtain strong boundary unique continuation results for quasilinear operators and thin-obstacle variational inequalities. The approach we use is based on the (almost-)monotonicity of a boundary Almgren-type frequency function, obtained via regularity estimates and a Calderón-Zygmund decomposition in the spirit of Almgren-De Lellis-Spadaro.
2024
Settore MAT/05 - Analisi Matematica
Settore MATH-03/A - Analisi matematica
Free boundary, branch points, unique continuation, nonlinear thin-obstacle problem, Almgren’s frequency function
   Variational approach to the regularity of the free boundaries
   VAREG
   European Commission
   Horizon 2020 Framework Programme - European Research Council - Starting Grant
   853404

   INDAM-GNAMPA

   PRIN project - NO3
   MUR and EU

   NSF Career Grant
   U.S. National Science Foundation

   PRA 2022 14 GeoDom (University of Pisa)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/166103
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