How many random edges make an almost-Dirac graph Hamiltonian?

Fuente: arXiv
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Autores principales: Díaz, Alberto Espuny, Razafindravola, Richarlotte Valérà
Formato: Preprint
Publicado: 2024
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author Díaz, Alberto Espuny
Razafindravola, Richarlotte Valérà
author_facet Díaz, Alberto Espuny
Razafindravola, Richarlotte Valérà
contents We study Hamiltonicity in the union of an $n$-vertex graph $H$ with high minimum degree and a binomial random graph on the same vertex set. In particular, we consider the case when $H$ has minimum degree close to $n/2$. We determine the perturbed threshold for Hamiltonicity in this setting. To be precise, let $η:= n/2-δ(H)$. For $η=ω(1)$, we show that it suffices to add $Θ(η)$ random edges to $H$ to a.a.s. obtain a Hamiltonian graph; for $η=Θ(1)$, we show that $ω(1)$ edges suffice. In fact, when $η=o(n)$ and $η=ω(1)$, we show that $(8+o(1))η$ random edges suffice, which is best possible up to the error term. This determines the sharp perturbed threshold for Hamiltonicity in this range of degrees. We also obtain analogous results for perfect matchings, showing that, in this range of degrees, the sharp perturbed thresholds for Hamiltonicity and for perfect matchings differ by a factor of $2$.
format Preprint
id arxiv_https___arxiv_org_abs_2410_14447
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle How many random edges make an almost-Dirac graph Hamiltonian?
Díaz, Alberto Espuny
Razafindravola, Richarlotte Valérà
Combinatorics
We study Hamiltonicity in the union of an $n$-vertex graph $H$ with high minimum degree and a binomial random graph on the same vertex set. In particular, we consider the case when $H$ has minimum degree close to $n/2$. We determine the perturbed threshold for Hamiltonicity in this setting. To be precise, let $η:= n/2-δ(H)$. For $η=ω(1)$, we show that it suffices to add $Θ(η)$ random edges to $H$ to a.a.s. obtain a Hamiltonian graph; for $η=Θ(1)$, we show that $ω(1)$ edges suffice. In fact, when $η=o(n)$ and $η=ω(1)$, we show that $(8+o(1))η$ random edges suffice, which is best possible up to the error term. This determines the sharp perturbed threshold for Hamiltonicity in this range of degrees. We also obtain analogous results for perfect matchings, showing that, in this range of degrees, the sharp perturbed thresholds for Hamiltonicity and for perfect matchings differ by a factor of $2$.
title How many random edges make an almost-Dirac graph Hamiltonian?
topic Combinatorics
url https://arxiv.org/abs/2410.14447