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Local geometric properties of conductive transmission eigenfunctions and applications

Published online by Cambridge University Press:  18 September 2024

Huaian Diao
Affiliation:
School of Mathematics and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
Xiaoxu Fei
Affiliation:
School of Mathematics and Statistics, Central South University, Changsha, China
Hongyu Liu*
Affiliation:
Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong SAR, China
*
Corresponding author: Hongyu Liu; Email: hongyliu@cityu.edu.hk
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Abstract

The purpose of the paper is twofold. First, we show that partial-data transmission eigenfunctions associated with a conductive boundary condition vanish locally around a polyhedral or conic corner in $\mathbb{R}^n$, $n=2,3$. Second, we apply the spectral property to the geometrical inverse scattering problem of determining the shape as well as its boundary impedance parameter of a conductive scatterer, independent of its medium content, by a single far-field measurement. We establish several new unique recovery results. The results extend the relevant ones in [26] in two directions: first, we consider a more general geometric setup where both polyhedral and conic corners are investigated, whereas in [26] only polyhedral corners are concerned; second, we significantly relax the regularity assumptions in [26] which is particularly useful for the geometrical inverse problem mentioned above. We develop novel technical strategies to achieve these new results.

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Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1 Schematic illustration of corona shape scatterers.