Shape reconstruction of inclusions based on noisy data via monotonicity methods for the time-harmonic elastic wave equation
Abstract
In this paper, we extend our research concerning the standard and linearized monotonicity methods for the inverse problem of the time-harmonic elastic wave equation and introduce modifications of these methods for noisy data. In more detail, the methods must provide consistent results when using noisy data in order to be able to perform simulations with real-world data, e.g., laboratory data. We therefore consider the disturbed Neumann-to-Dirichlet operator and modify the bound for the eigenvalues in the monotonicity tests for reconstructing unknown inclusions with noisy data. In doing so, we show that there exists a noise level $\delta_0$ such that the inclusions are correctly detected and their shape is reconstructed for all noise levels $\delta
Fields of Study & Subjects
Numerical methods in inverse problems
Microwave Imaging and Scattering Analysis
Stability and Controllability of Differential Equations
Publication details
- Journal / source
- ETNA - Electronic Transactions on Numerical Analysis
- Publisher
- Osterreichische Akademie der Wissenschaften, Verlag
- Volume
- 64
- Pages
- 109–124
- Publication date
- 1 January 2026
- Language
- EN