Abstract
We study integration and L2-approximation on countable tensor products of function spaces of increasing smoothness. We obtain upper and lower bounds for the minimal errors, which are sharp in many cases including, e.g., Korobov, Walsh, Haar, and Sobolev spaces. For the proofs we derive embedding theorems between spaces of increasing smoothness and appropriate weighted function spaces of fixed smoothness.
Original language | English |
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Article number | 101406 |
Journal | Journal of Complexity |
Volume | 54 |
DOIs | |
State | Published - Oct 2019 |
Bibliographical note
Funding Information:M. Hefter was supported by the Austrian Science Fund (FWF) , Project F5506-N26 . A. Hinrichs is supported by the Austrian Science Fund (FWF) , Project F5513-N26 . Both projects are part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Applications”. K. Ritter was partially supported as a visiting professor at Kiel University, Germany .
Funding Information:
The authors would like to thank Michael Griebel and Henryk Woźniakowski for interesting discussions and valuable comments. The work on this paper was initiated during a special semester at the Institute for Computational and Experimental Research in Mathematics (ICERM) of Brown University. Part of the work was done during a visit of the University of New South Wales (UNSW) in Sydney and during a special semester at the Erwin Schrödinger International Institute for Mathematics and Physics (ESI) in Vienna. M. Hefter was supported by the Austrian Science Fund (FWF), Project F5506-N26. A. Hinrichs is supported by the Austrian Science Fund (FWF), Project F5513-N26. Both projects are part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Applications”. K. Ritter was partially supported as a visiting professor at Kiel University, Germany.
Publisher Copyright:
© 2019 Elsevier Inc.
Keywords
- Embedding theorems
- High-dimensional integration
- Infinite-dimensional integration
- Reproducing kernel Hilbert spaces
- Tractability
ASJC Scopus subject areas
- Algebra and Number Theory
- Statistics and Probability
- Numerical Analysis
- Mathematics (all)
- Control and Optimization
- Applied Mathematics