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Journal of Combinatorial Theory Series A
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Hypergraphs, Quasi-randomness, and Conditions for Regularity

Hypergraphs, quasi-randomness, and conditions for regularity
Authors: Yoshiharu Kohayakawa; Vojtech Rödl; Jozef Skokan;

Hypergraphs, Quasi-randomness, and Conditions for Regularity

Abstract

The study of quasi-randomness is a flourishing topic on uniform hypergraphs. F. R. K. Chung and R. L. Graham (among others) investigated thoroughly quasi-random uniform hypergraphs of density 1/2, showing a series of important equivalent statements about these structures. In this investigations the notion of deviation plays a central role. Chung and Graham explicitly asked to extend these investigations to the case where the fixed density differs from 1/2. This extensive paper starts this investigation. Its main aim is to show a series of relevant equivalent statements about quasi-random uniform hypergraphs of fixed (but not 1/2) density. The authors developed a new technique based on the notion of discrepancy and their delicate proofs are quite different from the ones used by Chung and Graham.

Keywords

density, deviation, Random graphs (graph-theoretic aspects), random-like, Hypergraphs, Theoretical Computer Science, Computational Theory and Mathematics, spectrum of subhypergraphs, discrepancy, Discrete Mathematics and Combinatorics, quasi-random

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
57
Top 10%
Top 10%
Average
hybrid