Embedding spanning bounded degree graphs in randomly perturbed graphs

Böttcher, Julia ORCID: 0000-0002-4104-3635, Montgomery, Richard, Parczyk, Olaf and Person, Yury (2020) Embedding spanning bounded degree graphs in randomly perturbed graphs. Mathematika, 66 (2). 422 - 447. ISSN 0025-5793

Text (mtk.12005 (1)) - Published Version Available under License Creative Commons Attribution. Download (291kB)

• Author

Abstract

We study the model G 8 G(n; p) of randomly perturbed dense graphs, where G is any n-vertex graph with minimum degree at least n and G(n; p) is the binomial random graph. We introduce a general approach for studying the appearance of spanning subgraphs in this model using absorption. This approach yields simpler proofs of several known results. We also use it to derive the following two new results. For every > 0 and C 5, and every n-vertex graph F with maximum degree at most , we show that if p = !(n−2~(+1)) then G 8 G(n; p) with high probability contains a copy of F. The bound used for p here is lower by a log-factor in comparison to the conjectured threshold for the general appearance of such subgraphs in G(n; p) alone, a typical feature of previous results concerning randomly perturbed dense graphs. We also give the rst example of graphs where the appearance threshold in G 8 G(n; p) is lower than the appearance threshold in G(n; p) by substantially more than a log-factor. We prove that, for every k C 2 and > 0, there is some > 0 for which the kth power of a Hamilton cycle with high probability appears in G 8 G(n; p) when p = !(n−1~k−). The appearance threshold of the kth power of a Hamilton cycle in G(n; p) alone is known to be n−1~k, up to a log-term when k = 2, and exactly for k > 2.

Item Type:	Article
Official URL:	https://londmathsoc.onlinelibrary.wiley.com/journa...
Additional Information:	© 2020 The Authors
Divisions:	Mathematics
Subjects:	Q Science > QA Mathematics
Date Deposited:	11 Jun 2019 17:21
Last Modified:	08 Nov 2024 07:24
URI:	http://eprints.lse.ac.uk/id/eprint/101018

Actions (login required)

View Item