Operator ordering by ill-posedness in Hilbert and Banach spaces

For operators representing ill-posed problems, an ordering by ill-posedness is proposed, where one operator is considered more ill-posed than another one if the former can be expressed as a concatenation of bounded operators involving the latter. This definition is motivated by a recent one introduced by Mathé and Hofmann [Adv. Oper. Theory, 10 (2025), Paper No. 36] that utilizes bounded and orthogonal operators, and we show the equivalence of our new definition with this one for the case of compact and non-compact linear operators in Hilbert spaces. We compare our ordering with other measures of ill-posedness such as the decay of the singular values, norm estimates, and range inclusions. Furthermore, as the new definition does not depend on the notion of orthogonal operators, it can be extended to the case of linear operators in Banach spaces, and it also provides ideas for applications to nonlinear problems in Hilbert spaces. In the latter context, certain nonlinearity conditions can be interpreted as ordering relations between a nonlinear operator and its linearization.

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Publication Details

Journal
ETNA - Electronic Transactions on Numerical Analysis
Published
2025-01-01
DOI
https://doi.org/10.1553/etna_vol64s1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Operator ordering by ill-posedness in Hilbert and Banach spaces

Stefan Kindermann, Bernd Hofmann
ETNA - Electronic Transactions on Numerical Analysis
Matrix Theory and Algorithms
article

Operator ordering by ill-posedness in Hilbert and Banach spaces

Stefan Kindermann, Bernd Hofmann
article en

Abstract

For operators representing ill-posed problems, an ordering by ill-posedness is proposed, where one operator is considered more ill-posed than another one if the former can be expressed as a concatenation of bounded operators involving the latter. This definition is motivated by a recent one introduced by Mathé and Hofmann [Adv. Oper. Theory, 10 (2025), Paper No. 36] that utilizes bounded and orthogonal operators, and we show the equivalence of our new definition with this one for the case of compact and non-compact linear operators in Hilbert spaces. We compare our ordering with other measures of ill-posedness such as the decay of the singular values, norm estimates, and range inclusions. Furthermore, as the new definition does not depend on the notion of orthogonal operators, it can be extended to the case of linear operators in Banach spaces, and it also provides ideas for applications to nonlinear problems in Hilbert spaces. In the latter context, certain nonlinearity conditions can be interpreted as ordering relations between a nonlinear operator and its linearization.

ETNA - Electronic Transactions on Numerical AnalysisVol. 64
Technische Universität Chemnitz
Openalex Percentile: Top 88%
Matrix Theory and Algorithms
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