2018
DOI: 10.1017/s0963548318000433
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On Erdős–Ko–Rado for Random Hypergraphs II

Abstract: Denote by H k (n, p) the random k-graph in which each k-subset of {1, . . . , n} is present with probability p, independent of other choices. More or less answering a question of Balogh, Bohman and Mubayi, we show: there is a fixed ε > 0 such that if n = 2k + 1 and p > 1 − ε, then w.h.p. (that is, with probability tending to 1 as k → ∞), H k (n, p) has the "Erdős-Ko-Rado property." We also mention a similar random version of Sperner's Theorem.

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Cited by 9 publications
(18 citation statements)
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References 32 publications
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“…the first member of ϕ −1 i (S i , F i ) according to some order-so the specification costs nothing. This strangely helpful device is from [6].) The key (trivial) point here is that (given…”
Section: Preview and Objectivementioning
confidence: 99%
“…the first member of ϕ −1 i (S i , F i ) according to some order-so the specification costs nothing. This strangely helpful device is from [6].) The key (trivial) point here is that (given…”
Section: Preview and Objectivementioning
confidence: 99%
“…Beginning with the work of Balogh, Bohman and Mubayi [3], the problem of developing a 'random' version of the Erdős-Ko-Rado theorem has received significant attention (see [3,4,20,21,22]). In this section, we raise the analogous question for Katona's intersection theorem.…”
Section: A Random Version Of Katona's Intersection Theoremmentioning
confidence: 99%
“…While this work has been under review, there has been a vivid interest in questions related to random versions of the Erdős-Ko-Rado theorem (see [4,5,7,9,10,14,15]). In particular, as well as the results of Balogh, Bohman and Mubayi [3], the question concerning the structure of the largest intersecting family in the random setting has been addressed in [5,14,15] for various ranges of k and p. Moreover, an extension of the robust stability result for intersecting families, Lemma 2.3, has been considered in [9], implying that Theorem 1.3 can be extended to a larger range of k. We refer to these papers for further information.…”
Section: Discussionmentioning
confidence: 99%