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Very low truncation dimension for high dimensional integration under modest error demand: Dedicated to the memory of Joseph F. Traub (1932–2015)

  • Peter Kritzer
  • , Friedrich Pillichshammer
  • , G. W. Wasilkowski

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We consider the problem of numerical integration for weighted anchored and ANOVA Sobolev spaces of s-variate functions. Here s is large including s=∞. Under the assumption of sufficiently fast decaying weights, we prove in a constructive way that such integrals can be approximated by quadratures for functions fk with only k variables, where k=k(ε) depends solely on the error demand ε and is surprisingly small when s is sufficiently large relative to ε. This holds, in particular, for s=∞ and arbitrary ε since then k(ε)<∞ for all ε. Moreover k(ε) does not depend on the function being integrated, i.e., is the same for all functions from the unit ball of the space.

Original languageEnglish
Pages (from-to)63-85
Number of pages23
JournalJournal of Complexity
Volume35
DOIs
StatePublished - Aug 1 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Inc.

Funding

P. Kritzer is supported by the Austrian Science Fund (FWF): Project F5506-N26, which is a part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Applications”. F. Pillichshammer is partially supported by the Austrian Science Fund (FWF): Project F5509-N26, which is a part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Applications”.

FundersFunder number
Austrian Science Fund/FWFF5509-N26, F5506-N26

    Keywords

    • Numerical integration
    • Truncation dimension
    • Weighted anchored and ANOVA Sobolev spaces

    ASJC Scopus subject areas

    • Algebra and Number Theory
    • Statistics and Probability
    • Numerical Analysis
    • General Mathematics
    • Control and Optimization
    • Applied Mathematics

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