Cookies?
Library Header Image
LSE Research Online LSE Library Services

Density of monochromatic infinite subgraphs II

Corsten, Jan, DeBiasio, Louis and McKenney, Paul (2025) Density of monochromatic infinite subgraphs II. Forum of Mathematics Sigma, 13.

[img] Text (density-of-monochromatic-infinite-subgraphs-ii) - Published Version
Available under License Creative Commons Attribution.

Download (1MB)

Identification Number: 10.1017/fms.2025.42

Abstract

In 1967, Gerencsér and Gyárfás [16] proved a result which is considered the starting point of graph-Ramsey theory: In every 2-coloring of Kn, there is a monochromatic path on ⌈(2n+1)/3⌉ vertices, and this is best possible. There have since been hundreds of papers on graph-Ramsey theory with some of the most important results being motivated by a series of conjectures of Burr and Erdős [2, 3] regarding the Ramsey numbers of trees (settled in [31]), graphs with bounded maximum degree (settled in [5]), and graphs with bounded degeneracy (settled in [23]). In 1993, Erdős and Galvin [13] began the investigation of a countably infinite analogue of the Gerencsér and Gyárfás result: What is the largest d such that in every 2-coloring of KN there is a monochromatic infinite path with upper density at least d? Erdős and Galvin showed that 2/3≤d≤8/9, and after a series of recent improvements, this problem was finally solved in [7] where it was shown that d=12+√8)/17. This paper begins a systematic study of quantitative countably infinite graph-Ramsey theory, focusing on infinite analogues of the Burr-Erdős conjectures. We obtain some results which are analogous to what is known in finite case, and other (unexpected) results which have no analogue in the finite case.

Item Type: Article
Additional Information: © 2025 The Author(s)
Divisions: Mathematics
Subjects: Q Science > QA Mathematics
Date Deposited: 27 May 2025 11:24
Last Modified: 27 May 2025 11:24
URI: http://eprints.lse.ac.uk/id/eprint/128179

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics