On the Lipschitz Continuity of the Spherical Cap Discrepancy around Generic Point Sets

Abstract The spherical cap discrepancy is a prominent measure of uniformity for sets on the d-dimensional sphere. It is particularly important for estimating the integration error for certain classes of functions on the sphere. Building on a recently proven explicit formula for the spherical discrepancy, we show as a main result of this paper that this discrepancy is Lipschitz continuous in a neighbourhood of so-called generic point sets (as they are typical outcomes of Monte-Carlo sampling). This property may have some impact (both algorithmically and theoretically for deriving necessary optimality conditions) on optimal quantization, i.e., on finding point sets of fixed size on the sphere having minimum spherical discrepancy.

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Publication Details

Journal
Uniform distribution theory
Published
2025-05-01
DOI
https://doi.org/10.2478/udt-2025-0011
Primary Topic
Mathematical Approximation and Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

On the Lipschitz Continuity of the Spherical Cap Discrepancy around Generic Point Sets

Holger Heitsch, René Henrion
Uniform distribution theory
Mathematical Approximation and Integration
article

On the Lipschitz Continuity of the Spherical Cap Discrepancy around Generic Point Sets

Holger Heitsch, René Henrion
article en

Abstract

Abstract The spherical cap discrepancy is a prominent measure of uniformity for sets on the d-dimensional sphere. It is particularly important for estimating the integration error for certain classes of functions on the sphere. Building on a recently proven explicit formula for the spherical discrepancy, we show as a main result of this paper that this discrepancy is Lipschitz continuous in a neighbourhood of so-called generic point sets (as they are typical outcomes of Monte-Carlo sampling). This property may have some impact (both algorithmically and theoretically for deriving necessary optimality conditions) on optimal quantization, i.e., on finding point sets of fixed size on the sphere having minimum spherical discrepancy.

Uniform distribution theoryVol. 20(1)
Weierstrass Institute for Applied Analysis and Stochastics (DE)
Deutsche Forschungsgemeinschaft
Reduced inequalities
Openalex Percentile: Top 24%
Mathematical Approximation and Integration
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