Reconstruction of the electric field of the Helmholtz equation in 3D
Huy Tuan Nguyen, Vo Anh Khoa, Mach Nguyet Minh, Thanh Tran

TL;DR
This paper rigorously analyzes a truncation regularization method for solving the 3D Helmholtz equation's inverse problem, demonstrating stability, convergence, and providing error estimates with practical examples.
Contribution
It offers a detailed theoretical framework for the regularization of the Helmholtz equation's inverse problem, including stability, convergence, and parameter selection.
Findings
Proved stability and convergence of the regularized solutions.
Derived error estimates in the L^2 norm.
Provided illustrative examples confirming the theoretical results.
Abstract
In this paper, we rigorously investigate the truncation method for the Cauchy problem of Helmholtz equations which is widely used to model propagation phenomena in physical applications. The method is a well-known approach to the regularization of several types of ill-posed problems, including the model postulated by Regi\' nska and Regi\' nski \cite{RR06}. Under certain specific assumptions, we examine the ill-posedness of the non-homogeneous problem by exploring the representation of solutions based on Fourier mode. Then the so-called regularized solution is established with respect to a frequency bounded by an appropriate regularization parameter. Furthermore, we provide a short analysis of the nonlinear forcing term. The main results show the stability as well as the strong convergence confirmed by the error estimates in -norm of such regularized solutions. Besides, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods in inverse problems · Microwave Imaging and Scattering Analysis · Advanced Mathematical Modeling in Engineering
