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THE p-LAPLACE "SIGNATURE" FOR QUASILINEAR INVERSE PROBLEMS WITH LARGE BOUNDARY DATA
Indexado
WoS WOS:001146590900013
Scopus SCOPUS_ID:85183577028
DOI 10.1137/22M1529154
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



This paper is inspired by an imaging problem encountered in the framework of Electrical Resistance Tomography involving two different materials, one or both of which are nonlinear. Tomography with nonlinear materials is in the early stages of development, although breakthroughs are expected in the not-too-distant future. We consider nonlinear constitutive relationships which, at a given point in the space, present a behavior for large arguments that is described by monomials of order p and q. The original contribution this work makes is that the nonlinear problem can be approximated by a weighted p-Laplace problem. From the perspective of tomography, this is a significant result because it highlights the central role played by the p-Laplacian in inverse problems with nonlinear materials. Moreover, when p = 2, this provides a powerful bridge to bring all the imaging methods and algorithms developed for linear materials into the arena of problems with nonlinear materials. The main result of this work is that for "large" Dirichlet data in the presence of two materials of different order (i) one material can be replaced by either a perfect electric conductor or a perfect electric insulator and (ii) the other material can be replaced by a material giving rise to a weighted p-Laplace problem.

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Disciplinas de Investigación



WOS
Mathematics, Applied
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Corbo Esposito, Antonio Hombre Univ Cassino & Lazio Meridionale - Italia
Universita di Cassino e del Lazio Meridionale - Italia
2 Faella, Luisa Mujer Univ Cassino & Lazio Meridionale - Italia
Universita di Cassino e del Lazio Meridionale - Italia
3 Piscitelli, Gianpaolo Hombre Univ Napoli Federico II - Italia
Università Degli Studi di Napoli Federico II - Italia
4 Prakash, Ravi Hombre Universidad de Concepción - Chile
5 Tamburrino, Antonello Hombre Univ Cassino & Lazio Meridionale - Italia
Michigan State Univ - Estados Unidos
Universita di Cassino e del Lazio Meridionale - Italia
College of Engineering - Estados Unidos

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Financiamiento



Fuente
GNAMPA of INdAM
MiUR-Progetto Dipartimenti di eccellenza 2018-2022 grant ``Sistemi distribuiti intelligenti"" of Dipartimento di Ingegneria Elettrica e dell'Informazione ``M. Scarano""
MiSE-FSC 2014-2020 grant ``SUMMa: Smart Urban Mobility Management""
MiUR-Progetto Dipartimenti di eccel-lenza
Dipartimento di Ingegneria Elettrica e dell'Informazione

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Agradecimientos



Agradecimiento
This work was partially supported by the MiUR-Progetto Dipartimenti di eccellenza 2018-2022 grant ``Sistemi distribuiti intelligenti"" of Dipartimento di Ingegneria Elettrica e dell'Informazione ``M. Scarano"", by the MiSE-FSC 2014-2020 grant ``SUMMa: Smart Urban Mobility Management"" and by GNAMPA of INdAM.
\ast Received by the editors October 26, 2022; accepted for publication (in revised form) July 6, 2023; published electronically January 8, 2024. https://doi.org/10.1137/22M1529154 Funding: This work was partially supported by the MiUR-Progetto Dipartimenti di eccel-lenza 2018-2022 grant ``Sistemi distribuiti intelligenti"" of Dipartimento di Ingegneria Elettrica e dell'Informazione ``M. Scarano"", by the MiSE-FSC 2014-2020 grant ``SUMMa: Smart Urban Mobility Management"" and by GNAMPA of INdAM.

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