Uniqueness, stability and algorithm for an inverse wave-number-dependent source problem

Abstract This paper is concerned with an inverse wave-number-/frequency-dependent source problem for the Helmholtz equation. In two and three dimensions, the unknown source term is supposed to be compactly supported in spatial variables but independent on one spatial variable. The dependence of the source function on wave-number/frequency is supposed to be unknown. Based on the Fourier-transform and Dirichlet-Laplacian methods, we develop two efficient non-iterative numerical algorithms to recover the wave-number-dependent source. Uniqueness proof and increasing stability analysis are carried out if the boundary measurement data of Dirichlet kind are available. Numerical experiments are conducted to illustrate the effectiveness and efficiency of the proposed methods.

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Publication Details

Journal
Inverse Problems
Published
2024-10-31
DOI
https://doi.org/10.1088/1361-6420/ad8d75
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00

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Uniqueness, stability and algorithm for an inverse wave-number-dependent source problem

Suliang Si, Guanghui Hu, Mengjie Zhao
Inverse Problems
Numerical methods in inverse problems
article

Uniqueness, stability and algorithm for an inverse wave-number-dependent source problem

Suliang Si, Guanghui Hu, Mengjie Zhao
article en

Abstract

Abstract This paper is concerned with an inverse wave-number-/frequency-dependent source problem for the Helmholtz equation. In two and three dimensions, the unknown source term is supposed to be compactly supported in spatial variables but independent on one spatial variable. The dependence of the source function on wave-number/frequency is supposed to be unknown. Based on the Fourier-transform and Dirichlet-Laplacian methods, we develop two efficient non-iterative numerical algorithms to recover the wave-number-dependent source. Uniqueness proof and increasing stability analysis are carried out if the boundary measurement data of Dirichlet kind are available. Numerical experiments are conducted to illustrate the effectiveness and efficiency of the proposed methods.

Inverse ProblemsVol. 40(12)
Shandong University of Technology (CN), Nankai University (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Central University Basic Research Fund of China
Openalex Percentile: Top 68%
Numerical methods in inverse problems
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Uniqueness, stability and algorithm for an inverse wave-number-dependent source problem — Suliang Si, Guanghui Hu, et al. · Inverse Problems (2024) | TGRS Research Map | TGRS