Low-discrepancy point sets for non-uniform measures
Low-discrepancy point sets for non-uniform measures
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非均匀测量的低差异点集
DOI:
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发表时间:
2013
期刊:
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通讯作者:
J. Dick
中科院分区:
文献类型:
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作者:
C. Aistleitner;J. Dick
In the present paper we prove several results concerning the existence of low-discrepancy point sets with respect to an arbitrary non-uniform measure $mu$ on the $d$-dimensional unit cube. We improve a theorem of Beck, by showing that for any $d geq 1$, $N geq 1,$ and any non-negative, normalized Borel measure $mu$ on $[0,1]^d$ there exists a point set $x_1, dots, x_N in [0,1]^d$ whose star-discrepancy with respect to $mu$ is of order $$ D_N^*(x_1, dots, x_N; mu) ll frac{(log N)^{(3d+1)/2}}{N}. $$ For the proof we use a theorem of Banaszczyk concerning the balancing of vectors, which implies an upper bound for the linear discrepancy of hypergraphs. Furthermore, the theory of large deviation bounds for empirical processes indexed by sets is discussed, and we prove a numerically explicit upper bound for the inverse of the discrepancy for Vapnik--v{C}ervonenkis classes. Finally, using a recent version of the Koksma--Hlawka inequality due to Brandolini, Colzani, Gigante and Travaglini, we show that our results imply the existence of cubature rules yielding fast convergence rates for the numerical integration of functions having discontinuities of a certain form.