Regularity of vector fields with piecewise regular curl and divergence

We consider a bounded Lipschitz domain [Formula: see text] with sufficiently smooth boundary and prove piecewise Sobolev regularity of vector fields that have piecewise regular curl and divergence, but may be discontinuous across mutually disjoint and sufficiently smooth surfaces inside of [Formula: see text]. The main idea behind our approach is to employ recently developed parametrices for the curl-operator and the regularity theory of Poisson transmission problems. We conclude our work by applying our findings to the heterogeneous time-harmonic Maxwell equations with either (a) impedance, (b) natural or (c) essential boundary conditions and provide wavenumber-explicit piecewise regularity estimates for these equations.

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Publication Details

Journal
Analysis and Applications
Published
2025-12-22
DOI
https://doi.org/10.1142/s0219530526500260
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
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article

Regularity of vector fields with piecewise regular curl and divergence

Jens Markus Melenk, David Worgotter
Analysis and Applications
Numerical methods in inverse problems
article

Regularity of vector fields with piecewise regular curl and divergence

Jens Markus Melenk, David Worgotter
article en

Abstract

We consider a bounded Lipschitz domain [Formula: see text] with sufficiently smooth boundary and prove piecewise Sobolev regularity of vector fields that have piecewise regular curl and divergence, but may be discontinuous across mutually disjoint and sufficiently smooth surfaces inside of [Formula: see text]. The main idea behind our approach is to employ recently developed parametrices for the curl-operator and the regularity theory of Poisson transmission problems. We conclude our work by applying our findings to the heterogeneous time-harmonic Maxwell equations with either (a) impedance, (b) natural or (c) essential boundary conditions and provide wavenumber-explicit piecewise regularity estimates for these equations.

Analysis and Applications
TU Wien (AT)
Openalex Percentile: Top 23%
Numerical methods in inverse problems
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