Convergence rates for Tikhonov regularization of a coefficient identification problem

This paper investigates the convergence rates for Tikhonov regularization of the problem for identifying the coefficient in the frequency-domain acoustic wave equation in general dimensional spaces; here , , and . We assume that we know the imprecise measurement data of 𝑢 in the subdomain with a mea...

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Bibliographic Details
Published inJournal of inverse and ill-posed problems Vol. 33; no. 4; pp. 497 - 513
Main Authors Huang, Huimin, Zhang, Wensheng
Format Journal Article
LanguageEnglish
Published Berlin De Gruyter 01.08.2025
Walter de Gruyter GmbH
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Summary:This paper investigates the convergence rates for Tikhonov regularization of the problem for identifying the coefficient in the frequency-domain acoustic wave equation in general dimensional spaces; here , , and . We assume that we know the imprecise measurement data of 𝑢 in the subdomain with a measurement error of level , while 𝑢 satisfies the general Robin boundary condition on . We propose to regularize this problem by minimizing a new functional and prove that the functional attains a unique global minimum on the admissible set of . Furthermore, we derive the convergence rate for the Tikhonov regularized solution with an easily satisfied source condition.
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content type line 14
ISSN:0928-0219
1569-3945
DOI:10.1515/jiip-2024-0057