Uniform Distribution Theory
Journal license

Journal

Uniform Distribution Theory


Volume
& Issue

Volume 21, Issue 1


Published
on

November 3, 2026


Pages

1-23


DOI

Article

Unlocking the Strength of the Combined Measure via Correlation

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Authors

Karoly Mullner* Affiliation:
Department of Algebra and Number Theory Faculty of Science University of Eötvös Loránd Pázmány Péter st. 1/C HU-1117 HUNGARY


Abstract

This paper studies the pseudorandomness of four celebrated binary sequence constructions by several authors (Goubin, Gyarmati, Mauduit, Pethő, Rivat, and Sárközy) based on computational evidence. Furthermore, a new theorem establishes a strong link between the correlation measure and the combined measure: for families of sequences satisfying a certain closure property: low correlation ($C_\ell$) implies a low combined measure ($Q_\ell$). This theoretical result confirms that controlling standard correlation is a powerful method for controlling correlation along arithmetic progressions for broad classes of pseudorandom sequence families. By applying this new theorem, we derive new upper bounds for the combined measure $Q_\ell$ for the established four constructions, thereby confirming their strong combined-measure properties.


Keywords

pseudorandom lattices, pseudorandom binary sequences


Citation

Mullner, K. (2026). Unlocking the strength of the combined measure via correlation. Uniform Distribution Theory, 21(1), 1–23. https://doi.org/10.66833/UDT-2026-0009

Published by: Engineering Journals

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