Inverse Linear Problems on Hilbert Space and their Krylov Solvability

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Synopsis

This book presents a thorough discussion of the theory of abstract inverse linear problems on Hilbert space. Given an unknown vector f in a Hilbert space H, a linear operator A acting on H, and a vector g in H satisfying Af=g, one is interested in approximating f by finite linear combinations of g, Ag, A2g, A3g, … The closed subspace generated by the latter vectors is called the Krylov subspace of H generated by g and A. The possibility of solving this inverse problem by means of projection methods on the Krylov subspace is the main focus of this text.After giving a broad introduction to the subject, examples and counterexamples of Krylov-solvable and non-solvable inverse problems are provided, together with results on uniqueness of solutions, classes of operators inducing Krylov-solvable inverse problems, and the behaviour of Krylov subspaces under small perturbations. An appendix collects material on weaker convergence phenomena in general projection methods.This subject of this book lies at the boundary of functional analysis/operator theory and numerical analysis/approximation theory and will be of interest to graduate students and researchers in any of these fields.

Book details

Edition:
1st ed. 2021
Series:
Springer Monographs in Mathematics
Author:
Noè Angelo Caruso, Alessandro Michelangeli
ISBN:
9783030881597
Related ISBNs:
9783030881580
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2022-02-11
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction