Spanning structures and universality in sparse hypergraphs
Olaf Parczyk,Yury Person +1 more
TL;DR: It is shown that the random graph G(n, p) for appropriate p and explicit constructions of universal graphs due to Alon, Capalbo, Kohayakawa, Rödl, Ruciński and Szemerédi yield constructions that are sparser than the random hypergraph H(r)(n,p) with p≫(lnn/n)1/Δ © 2016 Wiley Periodicals, Inc.
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Abstract: In this paper the problem of finding various spanning structures in random hypergraphs is studied. We notice that a general result of Riordan [Combin Probab Comput 9 (2000), 125–148] can be adapted from random graphs to random r-uniform hypergraphs and provide sufficient conditions when a random r-uniform hypergraph H(r)(n,p) contains a given spanning structure a.a.s. We also discuss several spanning structures such as cube-hypergraphs, lattices, spheres, and Hamilton cycles in hypergraphs. Moreover, we study universality, i.e. when does an r-uniform hypergraph contain any hypergraph on n vertices and with maximum vertex degree bounded by Δ? For H(r)(n,p) it is shown that this holds for p≫(lnn/n)1/Δ a.a.s. by combining approaches taken by Dellamonica, Kohayakawa, Rodl and Rucinski [Random Struct Algorithms 46 (2015), 274–299] and of Ferber, Nenadov and Peter [Random Struct Algorithms 48 (2016), 546–564] and of Kim and Lee [SIAM J Discrete Math 28 (2014), 1467–1478]. Furthermore it is shown that the random graph G(n, p) for appropriate p and explicit constructions of universal graphs due to Alon, Capalbo, Kohayakawa, Rodl, Rucinski and Szemeredi [Lecture Notes in Comput. Sci., Vol. 2129, Springer, Berlin, 2001, pp. 170–180] and Alon and Capalbo [Random Struct Algorithms 31 (2007), 123–133; Proceedings of the 9th Annual ACM-SIAM Symposium Society of Industrial and Applied Mathematics, 2008, pp. 373–378] yield constructions of universal hypergraphs that are sparser than the random hypergraph H(r)(n,p) with p≫(lnn/n)1/Δ © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 2016
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Citations
Embedding spanning bounded degree graphs in randomly perturbed graphs
TL;DR: For the model G 8 G(n; p) of randomly perturbed dense graphs, where G is any n-vertex graph with minimum degree at least n and G is the binomial random graph as discussed by the authors, it is shown that if p =!(n−2~(+1)) then G 8 g(n, p) with high probability contains a copy of F. The bound used for p here is lower by a log-factor in comparison to the conjectured threshold for the general appearance of such subgraphs in G (n,p)
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Thresholds and expectation thresholds
Jeff Kahn,Gil Kalai +1 more
TL;DR: In this article, the authors consider relations between thresholds for monotone set properties and simple lower bounds for such thresholds, and show that the expected number of copies of a given subgraph in G = G(n, p) is at least 1.
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Powers of tight Hamilton cycles in randomly perturbed hypergraphs
TL;DR: It is proved that, for any $\alpha>0$, there exists $\epsilon>0$ such that the union of an $n$-vertex k-graph with minimum codegree and a binomial random $k$-graph on the same vertex set contains the r^{\text{th}}$ power of a tight Hamilton cycle with high probability.
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Powers of tight Hamilton cycles in randomly perturbed hypergraphs
TL;DR: In this article, it was shown that the union of an n-vertex graph with minimum codegree and a binomial random graph with the same vertex set contains the power of a tight Hamilton cycle with high probability.
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Hamilton Cycles in Random Graphs: a bibliography
TL;DR: An annotated bibliography for the study of Hamilton cycles in random graphs and hypergraphs is provided in this paper, where the authors provide an annotated version of their paper.
References
Random graphs
Alan Frieze
- 22 Jan 2006
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
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