2023
DOI: 10.1002/rsa.21154
|View full text |Cite
|
Sign up to set email alerts
|

On powers of tight Hamilton cycles in randomly perturbed hypergraphs

Abstract: For integers and , we show that for every , there exists such that the union of ‐uniform hypergraph on vertices with minimum codegree at least and a binomial random ‐uniform hypergraph with on the same vertex set contains the power of a tight Hamilton cycle with high probability. Moreover, a construction shows that one cannot take , where is a constant. Thus the bound on is optimal up to the value of and this answers a question of Bedenknecht, Han, Kohayakawa, and Mota.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 55 publications
(155 reference statements)
0
1
0
Order By: Relevance
“…The model of randomly perturbed graphs has also been extended to other settings. For instance, Hamiltonicity has been studied in randomly perturbed directed graphs [5, 24], hypergraphs [4, 12, 21, 24, 27] and subgraphs of the hypercube [13]. A common phenomenon in randomly perturbed graphs is that, by considering the union with a dense graph (i.e., with linear degrees), the threshold for the probabilities of different properties is significantly lower than that of the classical Gn,p$$ {G}_{n,p} $$ model.…”
Section: Introductionmentioning
confidence: 99%
“…The model of randomly perturbed graphs has also been extended to other settings. For instance, Hamiltonicity has been studied in randomly perturbed directed graphs [5, 24], hypergraphs [4, 12, 21, 24, 27] and subgraphs of the hypercube [13]. A common phenomenon in randomly perturbed graphs is that, by considering the union with a dense graph (i.e., with linear degrees), the threshold for the probabilities of different properties is significantly lower than that of the classical Gn,p$$ {G}_{n,p} $$ model.…”
Section: Introductionmentioning
confidence: 99%