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Preprints, Working Papers, ... Year : 2023

Carleman-Based Reconstruction Algorithm on a wave Network

Abstract

In the context of a network of vibrating strings, modelled by interconnected linear partial differential equations, we are interested in the reconstruction of a zeroth order term of each one-dimensional wave equation involved, using some appropriate external boundary measurements. More precisely, we are interested in an inverse problem set on a tree shaped network where each edge behaves according to the wave equation with potential, external nodes have Dirichlet boundary conditions and internal nodes follow the Kirchoff law. The main goal is the reconstruction of the potential everywhere on the network, from the Neumann boundary measurements at all but one external vertices. Leveraging from the Lipschitz stability of this inverse problem, we aim at providing an efficient reconstruction algorithm based on the use of a specific global Carleman estimate. The proof of the main tool and of the convergence of the algorithm are provided; along with a detailed description of the numerical illustrations given at the end of the article.
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Dates and versions

hal-04361363 , version 1 (22-12-2023)

Identifiers

  • HAL Id : hal-04361363 , version 1

Cite

Lucie Baudouin, Maya de Buhan, Emmanuelle Crépeau, Julie Valein. Carleman-Based Reconstruction Algorithm on a wave Network. 2023. ⟨hal-04361363⟩
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