Pseudo-Random Hypergraphs

We study the interplay between notions of quasi-randomness for hypergraphs. In particular, we show a strong connection between discrepancy-type measures of quasirandomness in the hypergraph setting. Exploiting this connection, we provide a long list of disparate quasirandom properties and show that these properties are all equivalent (in the sense of Chung, Graham, and Wilson) with polynomial bounds on their interdependences.

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Publication Details

Journal
journal of the college of basic education
Published
2025-06-02
DOI
https://doi.org/10.35950/cbej.v30i130.13080
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Pseudo-Random Hypergraphs

Hala Shaker Abdollah, Gholam Hassan Shirdel
journal of the college of basic education
Data Mining Algorithms and Applications
article

Pseudo-Random Hypergraphs

Hala Shaker Abdollah, Gholam Hassan Shirdel
article en

Abstract

We study the interplay between notions of quasi-randomness for hypergraphs. In particular, we show a strong connection between discrepancy-type measures of quasirandomness in the hypergraph setting. Exploiting this connection, we provide a long list of disparate quasirandom properties and show that these properties are all equivalent (in the sense of Chung, Graham, and Wilson) with polynomial bounds on their interdependences.

journal of the college of basic educationVol. 30(130)
Mustansiriyah University (IQ), University of Qom (IR)
Openalex Percentile: Top 83%
Data Mining Algorithms and Applications
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Pseudo-Random Hypergraphs — Hala Shaker Abdollah, Gholam Hassan Shirdel · journal of the college of basic education (2025) | TGRS Research Map | TGRS