The focus of this paper is on conditional stability estimates for ill-posed inverse problems in partial differential equations. Conditional stability estimates have been obtained in the literature by a couple different methods. In this paper we propose a method called interpolation method, which is based on interpolation in variable Hilbert scales. We are going to work out the theoretical background of this method and show that optimal conditional stability estimates are obtained. The capability of our method is illustrated by a comprehensive collection of different inverse and ill-posed PDE problems containing elliptic and parabolic problems, one source problem and the problem of analytic continuation.
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:19570 |
Date | January 2011 |
Creators | Tautenhahn, Ulrich, Hämarik, Uno, Hofmann, Bernd, Shao, Yuanyuan |
Contributors | Hochschule Zittau/Görlitz, Universität Tartu - Estonia |
Publisher | Technische Universität Chemnitz |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | doc-type:preprint, info:eu-repo/semantics/preprint, doc-type:Text |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0014 seconds