Robust bounds for Krylov methods revisited

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Authors: Olavi Nevanlinna
Cited by: 0
References: 17

Abstract

Abstract The paper deals with bounds for Krylov methods which are insensitive in low rank perturbations. In finite dimensional cases resolvents are meromorphic in the whole plane and robust bounds have been constructed using special growth functions created for operator valued meromorphic functions. In this paper such bounds are derived without use of those special tools. In particular, convergence in generic hermitean problems and highly non-normal problems are effectively analysed with the same technique based on representing the resolvent using spectral polynomials and thus for example the conditioning of eigenvector bases does not show up at all.

Fields of Study & Subjects

Matrix Theory and Algorithms Spectral Theory in Mathematical Physics Advanced Numerical Methods in Computational Mathematics

Publication details

Journal / source
BIT Numerical Mathematics
Volume
66
Issue
1
Publication date
16 February 2026
Language
EN