A note on the random greedy independent set algorithm

Let r be a fixed constant and let H be an r‐uniform, D‐regular hypergraph on N vertices. Assume further that D>Nϵ for some ϵ>0. Consider the random greedy algorithm for forming an independent set in H. An independent set is chosen at random by iteratively choosing vertices at random to be in t...

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Bibliographic Details
Published inRandom structures & algorithms Vol. 49; no. 3; pp. 479 - 502
Main Authors Bennett, Patrick, Bohman, Tom
Format Journal Article
LanguageEnglish
Published Hoboken Blackwell Publishing Ltd 01.10.2016
Wiley Subscription Services, Inc
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ISSN1042-9832
1098-2418
DOI10.1002/rsa.20667

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Summary:Let r be a fixed constant and let H be an r‐uniform, D‐regular hypergraph on N vertices. Assume further that D>Nϵ for some ϵ>0. Consider the random greedy algorithm for forming an independent set in H. An independent set is chosen at random by iteratively choosing vertices at random to be in the independent set. At each step we chose a vertex uniformly at random from the collection of vertices that could be added to the independent set (i.e. the collection of vertices v with the property that v is not in the current independent set I and I∪{v} contains no edge in H). Note that this process terminates at a maximal subset of vertices with the property that this set contains no edge of H; that is, the process terminates at a maximal independent set. We prove that if H satisfies certain degree and codegree conditions then there are Ω(N·((logN)/D)1r−1) vertices in the independent set produced by the random greedy algorithm with high probability. This result generalizes a lower bound on the number of steps in the H‐free process due to Bohman and Keevash and produces objects of interest in additive combinatorics. © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 49, 479–502, 2016
Bibliography:ArticleID:RSA20667
NSF DMS-1001638 DMS-1100215
Supported by NSF (DMS-1001638 and DMS-1100215).
ark:/67375/WNG-4N5GC27S-T
istex:6FC1AADA5FE9405EE54CB641028B01A43369EE65
Supported by NSF (DMS‐1001638 and DMS‐1100215).
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ISSN:1042-9832
1098-2418
DOI:10.1002/rsa.20667