2014
DOI: 10.1007/s00493-014-2956-z
|View full text |Cite
|
Sign up to set email alerts
|

Optimal covers with Hamilton cycles in random graphs

Abstract: Abstract. A packing of a graph G with Hamilton cycles is a set of edgedisjoint Hamilton cycles in G. Such packings have been studied intensively and recent results imply that a largest packing of Hamilton cycles in Gn,p a.a.s. has size δ(Gn,p)/2 . Glebov, Krivelevich and Szabó recently initiated research on the 'dual' problem, where one asks for a set of Hamilton cycles covering all edges of G. Our main result states that for log 117 n n ≤ p ≤ 1 − n −1/8 , a.a.s. the edges of Gn,p can be covered by ∆(Gn,p)/2 H… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2015
2015
2017
2017

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 10 publications
(13 citation statements)
references
References 18 publications
(55 reference statements)
0
13
0
Order By: Relevance
“…Indeed, the results of several authors (mainly Krivelevich and Samotij [10] as well as Knox, Kühn and Osthus [9]) can be combined to show that for all 0 p 1, the binomial random graph G n,p contains δ(G n,p )/2 edge-disjoint Hamilton cycles with high probability. Some further related results can be found in [6,11,12].…”
Section: Conjecture 12mentioning
confidence: 82%
“…Indeed, the results of several authors (mainly Krivelevich and Samotij [10] as well as Knox, Kühn and Osthus [9]) can be combined to show that for all 0 p 1, the binomial random graph G n,p contains δ(G n,p )/2 edge-disjoint Hamilton cycles with high probability. Some further related results can be found in [6,11,12].…”
Section: Conjecture 12mentioning
confidence: 82%
“…The main result in shows that this bound is approximately true if pn1+ε. Subsequently, Hefetz, Kühn, Lapinskas and Osthus achieved an exact version of this result for a similar range of p as in Theorem . Theorem Let log117nnp1n1/8.…”
Section: Introductionmentioning
confidence: 80%
“…For (a), (b) and (c) we will prove slightly stronger bounds, as these will be used in [17]. We will need the following large deviation bounds on the binomial distribution, proved in [18] (as Theorem 2.1, Corollary 2.3 and Corollary 2.4 respectively):…”
Section: Pseudorandom Graphsmentioning
confidence: 99%
“…Recent results include packing and covering problems (see e.g. [13], [21], [22], [26], [15], and [18]), local resilience (see e.g. [34], [14], [4] and [28]) and Maker-Breaker games ( [33], [16], [3], and [11]).…”
Section: Introductionmentioning
confidence: 99%