Uniform Distribution Theory
Journal license

Journal

Uniform Distribution Theory


Volume
& Issue

Volume 6, Issue 1


Published
on

March 18, 2011


Pages

79-100


DOI

Article

On the Component by Component Construction of Polynomial Lattice Point Sets for Numerical Integration in Weighted Sobolev Spaces


Authors

Peter Kritzer Affiliation:
Friedrich Pillichshammer Institut fur Finanzmathematik Universitat Linz Altenbergerstr. 69 4040 Linz AUSTRIA
and Friedrich Pillichshammer Affiliation:
Department of Financial Mathematics and Applied Number Theory Johannes Kepler University Linz Altenbergerstr. 69 4040 Linz AUSTRIA


Abstract

Polynomial lattice point sets are polynomial versions of classical lattice point sets and among the most widely used classes of node sets for quasi- Monte Carlo integration. In this paper, we study the worst-case integration error of digitally shifted polynomial lattice point sets and give step by step construction algorithms to obtain polynomial lattices that achieve a low worst-case error in certain weighted Sobolev spaces. The construction algorithm is a so-called com- ponent by component algorithm, choosing one component of the relevant point set at a time. Furthermore, under certain conditions on the weights, we achieve that there is only a polynomial or even no dependence of the worst-case error on the dimension of the integration problem.


Keywords

Quasi-Monte Carlo, polynomial lattice rules, weighted Sobolev spaces, Hilbert.


Citation

Kritzer, P. & Pillichshammer, F. (2011). On the component by component construction of polynomial lattice point sets for numerical integration in weighted sobolev spaces. Uniform Distribution Theory, 6(1), 79–100.

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