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Random Structures and Algorithms
Article . 2011 . Peer-reviewed
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Quasi‐random hypergraphs revisited

Quasi-random hypergraphs revisited
Authors: Fan Chung Graham;

Quasi‐random hypergraphs revisited

Abstract

AbstractThe quasi‐random theory for graphs mainly focuses on a large equivalent class of graph properties each of which can be used as a certificate for randomness. For k ‐graphs (i.e., k ‐uniform hypergraphs), an analogous quasi‐random class contains various equivalent graph properties including the k ‐discrepancy property (bounding the number of edges in the generalized induced subgraph determined by any given (k ‐ 1) ‐graph on the same vertex set) as well as the k ‐deviation property (bounding the occurrences of “octahedron”, a generalization of 4 ‐cycle). In a 1990 paper (Chung, Random Struct Algorithms 1 (1990) 363‐382), a weaker notion of l ‐discrepancy properties for k ‐graphs was introduced for forming a nested chain of quasi‐random classes, but the proof for showing the equivalence of l ‐discrepancy and l ‐deviation, for 2 ≤ l < k, contains an error. An additional parameter is needed in the definition of discrepancy, because of the rich and complex structure in hypergraphs. In this note, we introduce the notion of (l,s) ‐discrepancy for k ‐graphs and prove that the equivalence of the (k,s) ‐discrepancy and the s ‐deviation for 1 ≤ s ≤ k. We remark that this refined notion of discrepancy seems to point to a lattice structure in relating various quasi‐random classes for hypergraphs. © 2011 Wiley Periodicals, Inc. Random Struct. Alg., 2011

Related Organizations
Keywords

k-uniform hypergraphs, deviation property, deviation, Random graphs (graph-theoretic aspects), discrepancy, Structural characterization of families of graphs, Hypergraphs, quasi-random, k-graphs

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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!
14
Average
Top 10%
Average
bronze