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arxiv: 1201.2311 · v3 · pith:YGZ5SDH6new · submitted 2012-01-11 · 🧮 math.NA

Quasi-Monte Carlo methods for integration of functions with dominating mixed smoothness in arbitrary dimension

classification 🧮 math.NA
keywords functionbesovbestdiscrepancydominatingintegrationmixednorm
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In a celebrated construction, Chen and Skriganov gave explicit examples of point sets achieving the best possible $L_2$-norm of the discrepancy function. We consider the discrepancy function of the Chen-Skriganov point sets in Besov spaces with dominating mixed smoothness and show that they also achieve the best possible rate in this setting. The proof uses a $b$-adic generalization of the Haar system and corresponding characterizations of the Besov space norm. Results for further function spaces and integration errors are concluded.

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