Hybrid inverse problems and redundant systems of partial differential equations
Guillaume Bal

TL;DR
This paper develops a mathematical framework to analyze the uniqueness and stability of redundant systems of nonlinear partial differential equations in hybrid inverse problems, with applications to power density measurements in imaging.
Contribution
It introduces a new approach using elliptic system theory to study the properties of redundant PDE systems in hybrid inverse problems, extending previous methods.
Findings
Constructs a parametrix for elliptic redundant systems
Derives optimal stability estimates for such systems
Revisits unique continuation principles in this context
Abstract
Hybrid inverse problems are mathematical descriptions of coupled-physics (also called multi-waves) imaging modalities that aim to combine high resolution with high contrast. The solution of a high-resolution inverse problem, a first step that is not considered in this paper, provides internal information combining unknown parameters and solutions of differential equations. In several settings, the internal information and the differential equations may be described as a redundant system of nonlinear partial differential equations. We propose a framework to analyze the uniqueness and stability properties of such systems. We consider the case when the linearization of the redundant system is elliptic and with boundary conditions satisfying the Lopatinskii conditions. General theories of elliptic systems then allow us to construct a parametrix for such systems and derive optimal…
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Taxonomy
TopicsNumerical methods in inverse problems · Photoacoustic and Ultrasonic Imaging · Medical Imaging Techniques and Applications
