English

Conductivity reconstruction from power density data in limited view

Analysis of PDEs 2022-07-26 v3 Functional Analysis

Abstract

In Acousto-Electric tomography, the objective is to extract information about the interior electrical conductivity in a physical body from knowledge of the interior power density data generated from prescribed boundary conditions for the governing elliptic partial differential equation. In this note, we consider the problem when the controlled boundary conditions are applied only on a small subset of the full boundary. We demonstrate using the unique continuation principle that the Runge approximation property is valid also for this special case of limited view data. As a consequence, we guarantee the existence of finitely many boundary conditions such that the corresponding solutions locally satisfy a non-vanishing gradient condition. This condition is essential for conductivity reconstruction from power density data. In addition, we adapt an existing reconstruction method intended for the full data situation to our setting. We implement the method numerically and investigate the opportunities and shortcomings when reconstructing from two fixed boundary conditions.

Keywords

Cite

@article{arxiv.2202.12370,
  title  = {Conductivity reconstruction from power density data in limited view},
  author = {Bjørn Jensen and Kim Knudsen and Hjørdis Schlüter},
  journal= {arXiv preprint arXiv:2202.12370},
  year   = {2022}
}

Comments

17 pages, 10 figures, submitted to Mathematica Scandinavica

R2 v1 2026-06-24T09:53:03.518Z