Local geometric properties of conductive transmission eigenfunctions and applications

Huaian Diao, Xiaoxu Fei, Hongyu Liu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)

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 ℝn, 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. © The Author(s), 2024.
Original languageEnglish
JournalEuropean Journal of Applied Mathematics
DOIs
Publication statusOnline published - 18 Sept 2024

Funding

The work of H. Diao is supported by National Natural Science Foundation of China (No. 12371422) and the Fundamental Research Funds for the Central Universities, JLU (No. 93Z172023Z01). The work of X. Fei is supported by NSFC/RGC Joint Research Grant No. 12161160314. The work of Hongyu Liu is supported by the NSFC/RGC Joint Research Scheme, N_CityU101/21; ANR/RGC Joint Research Scheme, A-CityU203/19; and the Hong Kong RGC General Research Funds (projects 11311122, 12301420 and 11300821).

Research Keywords

  • Conductive scatterer
  • Inverse scattering
  • Microlocal analysis
  • Single measurement
  • Spectral geometry
  • Transmission eigenfunctions
  • Vanishing

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