Well-posed questions for ill-posed inverse problems: a note in memory of Pierre Sabatier

Abstract Professor Pierre Sabatier contributed much to the study of inverse problems in theory and practice. Two of these contributions were a focus on theory that actually supports practice, and the identification of well-posed aspects of inverse problems that may be quite ill-posed. This paper illustrates these two themes in the context of Electrical Impedance Tomography (EIT), which is both very ill-posed and very practical. We show that for a highly constrained version of this inverse problem, in which a small elliptical inclusion in a homogeneous background is to be identified, applying optimal experiment design principles to choose electrode locations vastly improves the stability of the solution.

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Publication Details

Journal
Inverse Problems
Published
2025-09-15
DOI
https://doi.org/10.1088/1361-6420/ae06c5
Primary Topic
advanced mathematical theories
Type
article
Field-Weighted Citation Impact
0.00
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article

Well-posed questions for ill-posed inverse problems: a note in memory of Pierre Sabatier

Fadil Santosa, William W. Symes, Gaoming Chen
Inverse Problems
advanced mathematical theories
article

Well-posed questions for ill-posed inverse problems: a note in memory of Pierre Sabatier

Fadil Santosa, William W. Symes, Gaoming Chen
article en

Abstract

Abstract Professor Pierre Sabatier contributed much to the study of inverse problems in theory and practice. Two of these contributions were a focus on theory that actually supports practice, and the identification of well-posed aspects of inverse problems that may be quite ill-posed. This paper illustrates these two themes in the context of Electrical Impedance Tomography (EIT), which is both very ill-posed and very practical. We show that for a highly constrained version of this inverse problem, in which a small elliptical inclusion in a homogeneous background is to be identified, applying optimal experiment design principles to choose electrode locations vastly improves the stability of the solution.

Inverse Problems
Johns Hopkins University (US), Rice University (US)
Openalex Percentile: Top 69%
advanced mathematical theories
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