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Partial data inverse problems for Maxwell equations via Carleman estimates

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3 Scopus citations

Abstract

In this article we consider an inverse boundary value problem for the time-harmonic Maxwell equations. We show that the electromagnetic material parameters are determined by boundary measurements where part of the boundary data is measured on a possibly very small set. This is an extension of earlier scalar results of Bukhgeim–Uhlmann and Kenig–Sjöstrand–Uhlmann to the Maxwell system. The main contribution is to show that the Carleman estimate approach to scalar partial data inverse problems introduced in those works can be carried over to the Maxwell system.

Original languageEnglish
Pages (from-to)605-624
Number of pages20
JournalAnnales de l'Institut Henri Poincare (C) Analyse Non Lineaire
Volume35
Issue number3
DOIs
StatePublished - May 1 2018

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Masson SAS

Funding

F.C., P.O. and M.S. were partly supported by the Academy of Finland (Centre of Excellence in Inverse Problems Research) (284715), F.C. and M.S. were supported by an ERC Starting Grant (grant agreement no 307023), and M.S. was also supported by CNRS. L.T. was partly supported by the Academy of Finland (decision no 271929), Vetenskapsr?det (decision no 2012-3782), and Australian Research Council Future Fellowship (FT130101346). F.C., M.S. and L.T. would like to acknowledge the hospitality of the Institut Henri Poincar? Program on Inverse Problems in 2015, and F.C. would like to acknowledge the University of Jyv?skyl? for its hospitality on subsequent visits.

FundersFunder number
ERC Starting
M.S.I. Foundation
University of Jyv?skyl
European Commission
Australian Research Council Future Fellowship
Seventh Framework Programme307023
Research Council of Finland284715
Australian Research CouncilFT130101346
CNRS Centre National de la Recherche Scientifique271929, 2012-3782

    Keywords

    • Admissible manifolds
    • Carleman estimates
    • Inverse problems
    • Maxwell equations
    • Partial data

    ASJC Scopus subject areas

    • Analysis
    • Mathematical Physics
    • Applied Mathematics

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