Abstract
AbstractThe abstract issue of ‘Krylov solvability’ is extensively discussed for the inverse problem $$Af=g$$
A
f
=
g
where A is a (possibly unbounded) linear operator on an infinite-dimensional Hilbert space, and g is a datum in the range of A. The question consists of whether the solution f can be approximated in the Hilbert norm by finite linear combinations of $$g,Ag,A^2g,\dots $$
g
,
A
g
,
A
2
g
,
⋯
, and whether solutions of this sort exist and are unique. After revisiting the known picture when A is bounded, we study the general case of a densely defined and closed A. Intrinsic operator-theoretic mechanisms are identified that guarantee or prevent Krylov solvability, with new features arising due to the unboundedness. Such mechanisms are checked in the self-adjoint case, where Krylov solvability is also proved by conjugate-gradient-based techniques.
Funder
Scuola Internazionale Superiore di Studi Avanzati - SISSA
Publisher
Springer Science and Business Media LLC
Subject
Algebra and Number Theory,Analysis
Reference30 articles.
1. Antonić, N., Burazin, K.S.: Intrinsic boundary conditions for Friedrichs systems. Commun. Partial Differ. Equ. 35, 1690–1715 (2010)
2. Antonić, N., Burazin, K.S., Crnjac, I., Erceg, M.: Complex Friedrichs systems and applications. J. Math. Phys. 58(22), 101508 (2017)
3. Antonić, N., Erceg, M., Michelangeli, A.: Friedrichs systems in a Hilbert space framework: solvability and multiplicity. J. Differ. Equ. 263, 8264–8294 (2017)
4. Brakhage, H.: On ill-posed problems and the method of conjugate gradients. In: Engl, H.W., Groetsch, C. (eds.) Inverse and Ill-Posed Problems, pp. 165–175. Academic Press, Cambridge (1987)
5. Caruso, N.A., Michelangeli, A.: Convergence of the conjugate gradient method with unbounded operators (2019). arXiv:1908.10110
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