Layer potential operators for transmission problems on extension domains

Fuente: arXiv
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Autori principali: Claret, Gabriel, Hinz, Michael, Rozanova-Pierrat, Anna, Teplyaev, Alexander
Natura: Preprint
Pubblicazione: 2024
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author Claret, Gabriel
Hinz, Michael
Rozanova-Pierrat, Anna
Teplyaev, Alexander
author_facet Claret, Gabriel
Hinz, Michael
Rozanova-Pierrat, Anna
Teplyaev, Alexander
contents We use the well-posedness of transmission problems on classes of two-sided Sobolev extension domains to give variational definitions for (boundary) layer potential operators and Neumann-Poincar{é} operators. These classes of domains contain Lipschitz domains, and also domains with fractal boundaries. Although our variational formulation does not involve any measures on the boundary, we recover the classical results in smooth domains by considering the surface measure on the boundary. We discuss properties of these operators and generalize basic results in imaging beyond the Lipschitz case.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11601
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Layer potential operators for transmission problems on extension domains
Claret, Gabriel
Hinz, Michael
Rozanova-Pierrat, Anna
Teplyaev, Alexander
Analysis of PDEs
Mathematical Physics
Functional Analysis
We use the well-posedness of transmission problems on classes of two-sided Sobolev extension domains to give variational definitions for (boundary) layer potential operators and Neumann-Poincar{é} operators. These classes of domains contain Lipschitz domains, and also domains with fractal boundaries. Although our variational formulation does not involve any measures on the boundary, we recover the classical results in smooth domains by considering the surface measure on the boundary. We discuss properties of these operators and generalize basic results in imaging beyond the Lipschitz case.
title Layer potential operators for transmission problems on extension domains
topic Analysis of PDEs
Mathematical Physics
Functional Analysis
url https://arxiv.org/abs/2403.11601