
TL;DR
This paper presents an explicit formula for the discrepancy function of point distributions on a torus, linking it to mean values on sub-tori, and applies it to prove a theorem relating different discrepancy measures.
Contribution
It introduces a new explicit formula for discrepancy functions on tori and provides a simple proof of Lev's theorem on discrepancy equivalence.
Findings
Discrepancy function expressed via mean values on sub-tori
Proof of Lev's theorem on $L_{ ext{infty}}$- and shifted $L_q$-discrepancies
Simplification of discrepancy comparison methods
Abstract
It is shown that the discrepancy function for point distributions on a torus is expressed by an explicit formula in terms of its mean values on sub-tori. As an application of this formula, a simple proof of a theorem of Lev on the equivalence of - and shifted -discrepancies is given.
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Taxonomy
TopicsMathematical Approximation and Integration · Analytic Number Theory Research
