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Quasi‐random hypergraphs revisited
Author(s) -
Chung Fan
Publication year - 2012
Publication title -
random structures and algorithms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 69
eISSN - 1098-2418
pISSN - 1042-9832
DOI - 10.1002/rsa.20388
Subject(s) - mathematics , combinatorics , struct , random graph , randomness , discrete mathematics , bounding overwatch , vertex (graph theory) , graph , computer science , statistics , artificial intelligence , programming language
The 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

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