Spread blow-up lemma with an application to perturbed random graphs

Fuente: arXiv
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Main Authors: Nenadov, Rajko, Pham, Huy Tuan
Format: Preprint
Published: 2024
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author Nenadov, Rajko
Pham, Huy Tuan
author_facet Nenadov, Rajko
Pham, Huy Tuan
contents Combining ideas of Pham, Sah, Sawhney, and Simkin on spread perfect matchings in super-regular bipartite graphs with an algorithmic blow-up lemma, we prove a spread version of the blow-up lemma. Intuitively, this means that there exists a probability measure over copies of a desired spanning graph $H$ in a given system of super-regular pairs which does not heavily pin down any subset of vertices. This allows one to complement the use of the blow-up lemma with the recently resolved Kahn-Kalai conjecture. As an application, we prove an approximate version of a conjecture of Böttcher, Parczyk, Sgueglia, and Skokan on the threshold for appearance of powers of Hamilton cycles in perturbed random graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2410_06132
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spread blow-up lemma with an application to perturbed random graphs
Nenadov, Rajko
Pham, Huy Tuan
Combinatorics
Discrete Mathematics
Probability
Combining ideas of Pham, Sah, Sawhney, and Simkin on spread perfect matchings in super-regular bipartite graphs with an algorithmic blow-up lemma, we prove a spread version of the blow-up lemma. Intuitively, this means that there exists a probability measure over copies of a desired spanning graph $H$ in a given system of super-regular pairs which does not heavily pin down any subset of vertices. This allows one to complement the use of the blow-up lemma with the recently resolved Kahn-Kalai conjecture. As an application, we prove an approximate version of a conjecture of Böttcher, Parczyk, Sgueglia, and Skokan on the threshold for appearance of powers of Hamilton cycles in perturbed random graphs.
title Spread blow-up lemma with an application to perturbed random graphs
topic Combinatorics
Discrete Mathematics
Probability
url https://arxiv.org/abs/2410.06132