16 research outputs found

    Packing tight Hamilton cycles in 3-uniform hypergraphs

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    Let H be a 3-uniform hypergraph with N vertices. A tight Hamilton cycle C \subset H is a collection of N edges for which there is an ordering of the vertices v_1, ..., v_N such that every triple of consecutive vertices {v_i, v_{i+1}, v_{i+2}} is an edge of C (indices are considered modulo N). We develop new techniques which enable us to prove that under certain natural pseudo-random conditions, almost all edges of H can be covered by edge-disjoint tight Hamilton cycles, for N divisible by 4. Consequently, we derive the corollary that random 3-uniform hypergraphs can be almost completely packed with tight Hamilton cycles w.h.p., for N divisible by 4 and P not too small. Along the way, we develop a similar result for packing Hamilton cycles in pseudo-random digraphs with even numbers of vertices.Comment: 31 pages, 1 figur

    Euler tours in hypergraphs

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    We show that a quasirandom kk-uniform hypergraph GG has a tight Euler tour subject to the necessary condition that kk divides all vertex degrees. The case when GG is complete confirms a conjecture of Chung, Diaconis and Graham from 1989 on the existence of universal cycles for the kk-subsets of an nn-set.Comment: version accepted for publication in Combinatoric

    Hamilton cycles in quasirandom hypergraphs

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    We show that, for a natural notion of quasirandomness in kk-uniform hypergraphs, any quasirandom kk-uniform hypergraph on nn vertices with constant edge density and minimum vertex degree Ω(nk−1)\Omega(n^{k-1}) contains a loose Hamilton cycle. We also give a construction to show that a kk-uniform hypergraph satisfying these conditions need not contain a Hamilton ℓ\ell-cycle if k−ℓk-\ell divides kk. The remaining values of ℓ\ell form an interesting open question.Comment: 18 pages. Accepted for publication in Random Structures & Algorithm

    Hamilton cycles in graphs and hypergraphs: an extremal perspective

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    As one of the most fundamental and well-known NP-complete problems, the Hamilton cycle problem has been the subject of intensive research. Recent developments in the area have highlighted the crucial role played by the notions of expansion and quasi-randomness. These concepts and other recent techniques have led to the solution of several long-standing problems in the area. New aspects have also emerged, such as resilience, robustness and the study of Hamilton cycles in hypergraphs. We survey these developments and highlight open problems, with an emphasis on extremal and probabilistic approaches.Comment: to appear in the Proceedings of the ICM 2014; due to given page limits, this final version is slightly shorter than the previous arxiv versio
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