Elastic Calder\'on Problem via Resonant Hard Inclusions: Linearisation of the N-D Map and Density Reconstruction
Huaian Diao, Mourad Sini, Ruixiang Tang

TL;DR
This paper introduces a novel method for reconstructing the density in an elastic medium by embedding resonant inclusions to create an effective negative density shift, enabling explicit Fourier-based density recovery.
Contribution
It develops a constructive approach using resonant high-density inclusions to linearize and solve the inverse elastic Calderón problem, providing explicit reconstruction formulas.
Findings
Convergence of the Neumann-to-Dirichlet map to an effective map with negative density shift.
Derivation of a first-order linearization of the effective map in terms of density.
Explicit Fourier-based reconstruction scheme for the density.
Abstract
We study an elastic Calderon-type inverse problem: recover the mass density in a bounded domain from the Neumann-to-Dirichlet map associated with the isotropic Lam\'e system . We introduce a constructive strategy that embeds a subwavelength periodic array of resonant high-density (hard) inclusions to create an effective medium with a uniform negative density shift. Specifically, we place a periodic cluster of inclusions of size and density strictly inside . For frequencies tuned to an eigenvalue of the elastic Newton (Kelvin) operator of a single inclusion, we show that as and the number of inclusions , the Neumann-to-Dirichlet map converges to an effective map corresponding to a background density shift…
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Taxonomy
TopicsNumerical methods in inverse problems · Microwave Imaging and Scattering Analysis · Advanced Mathematical Modeling in Engineering
