Embedding spanning bounded degree graphs in randomly perturbed graphs
Julia B\"ottcher, Richard Montgomery, Olaf Parczyk, Yury Person

TL;DR
This paper investigates the embedding of bounded degree spanning graphs in randomly perturbed dense graphs, introducing a new absorption-based approach that simplifies proofs and establishes lower thresholds for subgraph appearance.
Contribution
It presents a general absorption method for studying spanning subgraphs in perturbed graphs and derives new lower bounds for embedding bounded degree graphs and Hamilton cycle powers.
Findings
Lower bounds on p for embedding graphs with maximum degree Δ
First example where embedding threshold is significantly lower than in G(n,p)
Threshold for Hamilton cycle powers in perturbed graphs is close to known in G(n,p)
Abstract
We study the model of randomly perturbed dense graphs, where is any -vertex graph with minimum degree at least and 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 and , and every -vertex graph with maximum degree at most , we show that if then with high probability contains a copy of . The bound used for here is lower by a -factor in comparison to the conjectured threshold for the general appearance of such subgraphs in alone, a typical feature of previous results concerning randomly perturbed…
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