Nonorthogonal Hilbert Space Decompositions with Operator Range Spaces and Reproducing Kernel Hilbert Spaces
Seppo Hassi () and
Hendrik S. V. de Snoo ()
Additional contact information
Seppo Hassi: University of Vaasa, Department of Mathematics and Statistics
Hendrik S. V. de Snoo: University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
Chapter 9 in Operator Theory, 2026, pp 217-257 from Springer
Abstract:
Abstract In the theory of Lebesgue type decompositions of linear relations (in particular linear operators) or of (pairs of) semibounded sesquilinear forms in a Hilbert space, the notion of a nonorthogonal decomposition of the Hilbert space plays an important role when the components of the Lebesgue-type decomposition are not mutually singular. This work offers a self-contained review of nonorthogonal Hilbert space decompositions in the context of operator range spaces and, in particular, of such decompositions in reproducing kernel Hilbert spaces.
Keywords: Operator range; Operator range space; Pairs of operators; Sum of operator range spaces; Reproducing kernel space; Complementation; Overlapping space; Parallel sum; Nonorthogonal decomposition; Reproducing kernel Hilbert space; Embedding; Aroszajn decomposition; Normalized pair of contractions (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-16356-1_118
Ordering information: This item can be ordered from
http://www.springer.com/9783032163561
DOI: 10.1007/978-3-032-16356-1_118
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().