The $p_0$-Laplace "Signature" for Quasilinear Inverse Problems

Fuente: arXiv
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Main Authors: Esposito, A. Corbo, Faella, L., Mottola, V., Piscitelli, G., Prakash, R., Tamburrino, A.
Format: Preprint
Published: 2023
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author Esposito, A. Corbo
Faella, L.
Mottola, V.
Piscitelli, G.
Prakash, R.
Tamburrino, A.
author_facet Esposito, A. Corbo
Faella, L.
Mottola, V.
Piscitelli, G.
Prakash, R.
Tamburrino, A.
contents This paper refers to an imaging problem in the presence of nonlinear materials. Specifically, the problem we address falls within the framework of Electrical Resistance Tomography and involves two different materials, one or both of which are nonlinear. Tomography with nonlinear materials in the early stages of developments, although breakthroughs are expected in the not-too-distant future. The original contribution this work makes is that the nonlinear problem can be approximated by a weighted $p_0$-Laplace problem. From the perspective of tomography, this is a significant result because it highlights the central role played by the $p_0$-Laplacian in inverse problems with nonlinear materials. Moreover, when $p_0=2$, this result allows all the imaging methods and algorithms developed for linear materials to be brought into the arena of problems with nonlinear materials. The main result of this work is that for "small" Dirichlet data, (i) one material can be replaced by a perfect electric conductor and (ii) the other material can be replaced by a material giving rise to a weighted $p_0$-Laplace problem.
format Preprint
id arxiv_https___arxiv_org_abs_2309_15865
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The $p_0$-Laplace "Signature" for Quasilinear Inverse Problems
Esposito, A. Corbo
Faella, L.
Mottola, V.
Piscitelli, G.
Prakash, R.
Tamburrino, A.
Analysis of PDEs
This paper refers to an imaging problem in the presence of nonlinear materials. Specifically, the problem we address falls within the framework of Electrical Resistance Tomography and involves two different materials, one or both of which are nonlinear. Tomography with nonlinear materials in the early stages of developments, although breakthroughs are expected in the not-too-distant future. The original contribution this work makes is that the nonlinear problem can be approximated by a weighted $p_0$-Laplace problem. From the perspective of tomography, this is a significant result because it highlights the central role played by the $p_0$-Laplacian in inverse problems with nonlinear materials. Moreover, when $p_0=2$, this result allows all the imaging methods and algorithms developed for linear materials to be brought into the arena of problems with nonlinear materials. The main result of this work is that for "small" Dirichlet data, (i) one material can be replaced by a perfect electric conductor and (ii) the other material can be replaced by a material giving rise to a weighted $p_0$-Laplace problem.
title The $p_0$-Laplace "Signature" for Quasilinear Inverse Problems
topic Analysis of PDEs
url https://arxiv.org/abs/2309.15865