Stable splittings of Hilbert spaces of functions of infinitely many variables
Stable splittings of Hilbert spaces of functions of infinitely many variables
dc.contributor.author | Griebel, Michael | |
dc.contributor.author | Oswald, Peter | |
dc.date.accessioned | 2024-08-15T10:58:32Z | |
dc.date.available | 2024-08-15T10:58:32Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11811/11846 | |
dc.description.abstract | We present an approach to defining Hilbert spaces of functions depending on infinitely many variables or parameters, with emphasis on a weighted tensor product construction based on stable space splittings. The construction has been used in an exemplary way for guiding dimension- and scale-adaptive algorithms in application areas such as statistical learning theory, reduced order modeling, and information-based complexity. We prove results on compact embeddings, norm equivalences, and the estimation of ϵ-dimensions. A new condition for the equivalence of weighted ANOVA and anchored norms is also given. | en |
dc.format.extent | 37 | |
dc.language.iso | eng | |
dc.relation.ispartofseries | INS Preprints ; 1617 | |
dc.rights | In Copyright | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Tensor product Hilbert spaces | |
dc.subject | weighted Hilbert space decompositions | |
dc.subject | functions of infinitely many variables | |
dc.subject | epsilon-dimensions | |
dc.subject | L2 approximation | |
dc.subject | compact embeddings | |
dc.subject | high-dimensional model representation | |
dc.subject.ddc | 510 Mathematik | |
dc.subject.ddc | 518 Numerische Analysis | |
dc.title | Stable splittings of Hilbert spaces of functions of infinitely many variables | |
dc.type | Preprint | |
dc.publisher.name | Institut für Numerische Simulation (INS) | |
dc.publisher.location | Bonn | |
dc.rights.accessRights | openAccess | |
dc.relation.doi | https://doi.org/10.1016/j.jco.2017.01.003 | |
ulbbn.pubtype | Zweitveröffentlichung | |
dcterms.bibliographicCitation.url | https://ins.uni-bonn.de/publication/preprints |
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