Modified Tikhonov Regularization for Identifying Several Sources

Modified Tikhonov Regularization for Identifying Several Sources

Year:    2021

Author:    Ole Iøseth Elvetun, Bjørn Fredrik Nielsen

International Journal of Numerical Analysis and Modeling, Vol. 18 (2021), Iss. 6 : pp. 740–757

Abstract

We study whether a modified version of Tikhonov regularization can be used to identify several local sources from Dirichlet boundary data for a prototypical elliptic PDE. This paper extends the results presented in [5]. It turns out that the possibility of distinguishing between two, or more, sources depends on the smoothing properties of a second or fourth order PDE. Consequently, the geometry of the involved domain, as well as the position of the sources relative to the boundary of this domain, determines the identifiability. We also present a uniqueness result for the identification of a single local source. This result is derived in terms of an abstract operator framework and is therefore not only applicable to the model problem studied in this paper. Our schemes yield quadratic optimization problems and can thus be solved with standard software tools. In addition to a theoretical investigation, this paper also contains several numerical experiments.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2021-IJNAM-19948

International Journal of Numerical Analysis and Modeling, Vol. 18 (2021), Iss. 6 : pp. 740–757

Published online:    2021-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:    Inverse source problems PDE-constrained optimization Tikhonov regularization nullspace numerical computations.

Author Details

Ole Iøseth Elvetun

Bjørn Fredrik Nielsen