Regularization Methods for Ill-Posed Problems in Multiple Hilbert Scales

Details Regularization Methods for Ill-Posed Problems in Multiple Hilbert Scales Regularization Methods for Ill-Posed Problems in Multiple Hilbert Scales

2011-11-13

arxiv.org/abs/1111.3037v1

Mathematics

Functional Analysis

32 pages, 2 figures

Scientific paper

Several convergence results in Hilbert scales under different source conditions are proved and orders of convergence and optimal orders of convergence are derived. Also, relations between those source conditions are proved. The concept of a multiple Hilbert scale on a product space is introduced, regularization methods on these scales are defined, both for the case of a single observation and for the case of multiple observations. In the latter case, it is shown how vector-valued regularization functions in these multiple Hilbert scales can be used. In all cases convergence is proved and orders and optimal orders of convergence are shown.

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