Tikhonov regularization in Hilbert scales under conditional stability assumptions. (21st September 2018)

• Record Type: Journal Article
• Authors: Egger, H; Hofmann, B
• Is Part Of: Inverse problems. Volume 34:Number 11(2018:Nov.)
• Publication Date: 2018-09-21
• Subjects: nonlinear inverse problems -- conditional stability -- Tikhonov regularization -- discrepancy principle -- convergence rates -- Hilbert scales; Inverse problems (Differential equations) -- Periodicals; 515.357
• DOI: 10.1088/1361-6420/aadef4
• Languages: English
• ISSNs: 0266-5611

Abstract

Abstract: Conditional stability estimates allow us to characterize the degree of ill-posedness of many inverse problems, but without further assumptions they are not sufficient for the stable solution in the presence of data perturbations. We here consider the stable solution of nonlinear inverse problems satisfying a conditional stability estimate by Tikhonov regularization in Hilbert scales. Order optimal convergence rates are established for a priori and a posteriori parameter choice strategies. The role of a hidden source condition is investigated and the relation to previous results for regularization in Hilbert scales is elaborated. The applicability of the results is discussed for some model problems, and the theoretical results are illustrated by numerical tests.