Uniform Distribution Theory
Journal license

Journal

Uniform Distribution Theory


Volume
& Issue

Volume 21, Issue 1


Published
on

November 3, 2026


Pages

1-21


DOI

Article

On the Asymptotic Average Diameter of Blocks of Uniformly Distributed Sequences and Related Results

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Authors

Sebastian Heintze* Affiliation:
Department of Artificial Intelligence and Human Interfaces Faculty of Digital and Analytical Sciences University of Salzburg Hellbrunnerstraße 34 5020 Salzburg Austria
and Wolfgang Trutschnig Affiliation:
Department of Artificial Intelligence and Human Interfaces Faculty of Digital and Analytical Sciences University of Salzburg Hellbrunnerstraße 34 5020 Salzburg Austria


Abstract

This paper was triggered by recent results on the maximal ‘average distance between consecutive points’ of uniformly distributed sequences (u.d.s.). Here we address a generalized version of this question, consider pairwise maximal/minimal/total distances in blocks/segments of $d\ge 2$ consecutive points of u.d.s., and derive sharp upper bounds for all three aggregations. Our main idea of proof consists in, firstly, adding degrees of freedom, secondly, translating the resulting problem to a solvable optimization problem over the compact family of $d$-stochastic measures, and, thirdly, showing that the obtained bounds are also sharp bounds for the original problem.


Keywords

Uniformly distributed sequences, copula, d-stochastic measure


Citation

Heintze, S. & Trutschnig, W. (2026). On the asymptotic average diameter of blocks of uniformly distributed sequences and related results. Uniform Distribution Theory, 21(1), 1–21. https://doi.org/10.66833/UDT-2026-0007

Published by: Engineering Journals

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