Abstract

A Hamilton Berge cycle of a hypergraph on $n$ vertices is an alternating sequence $(v_1, e_1, v_2, \ldots, v_n, e_n)$ of distinct vertices $v_1, \ldots, v_n$ and distinct hyperedges $e_1, \ldots, e_n$ such that $\{v_1,v_n\}\subseteq e_n$ and $\{v_i, v_{i+1}\} \subseteq e_i$ for every $i\in [n-1]$. We prove the following Dirac-type theorem about Berge cycles in the binomial random $r$-uniform hypergraph $H^{(r)}(n,p)$: for every integer $r \geq 3$, every real $\gamma>0$ and $p \geq \frac{\ln^{17r} n}{n^{r-1}}$ asymptotically almost surely, every spanning subgraph $H \subseteq H^{(r)}(n,p)$ with minimum vertex degree $\delta_1(H) \geq \left(\frac{1}{2^{r-1}} + \gamma\right) p \binom{n}{r-1}$ contains a Hamilton Berge cycle. The minimum degree condition is asymptotically tight and the bound on $p$ is optimal up to some polylogarithmic factor.

Highlights

  • Many classical theorems of extremal graph theory give sufficient optimal minimum degree conditions for graphs to contain copies of large or even spanning structures

  • The systematic study of those with respect to various graph properties was initiated by Sudakov and Vu in [25], who in particular proved that G(n, p) has resilience at least 1/2 − o(1) with respect to Hamiltonicity a.a.s. for p > ln4 n/n

  • Like in the setting of graphs, a natural question is which sparse random hypergraphs contain a weak Hamilton cycle or even a Hamilton Berge cycle and how robust these hypergraphs are with respect to these properties? Recall that by H(r)(n, p) we denote the random r-uniform hypergraph model on the vertex set [n], where each set of r vertices forms an edge randomly and independently with probability p = p(n)

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Summary

Introduction

Many classical theorems of extremal graph theory give sufficient optimal minimum degree conditions for graphs to contain copies of large or even spanning structures. + n − 1 H contains a Hamilton Berge cycle In any case, it follows from Propositions 2 and 3 that the resilience of the complete hypergraph Kn(r) is at least 1−21−r −o(1) with respect to both weak and Berge Hamiltonicity. Like in the setting of graphs, a natural question is which sparse random hypergraphs contain a weak Hamilton cycle or even a Hamilton Berge cycle and how robust these hypergraphs are with respect to these properties? In this paper we prove the following Dirac-type result for the existence of Hamilton Berge cycles in random hypergraphs. Berge cycles to a problem of finding a Hamilton cycle in the random graph to achieve the same resilience 1 − 21−r + o(1) in the random hypergraph H(r)(n, p) One possibility of such a ‘reduction’ would be to declare an edge uv ∈.

Probabilistic tools: concentration inequalities
More definitions and auxiliary lemmas
Pseudorandom hypergraphs
A sampling lemma
Matchings
Absorbers
An expansion lemma
A connection lemma
Proof outline
Berge Hamiltonicity in dense hypergraphs
Full Text
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