Almost-spanning universality in random graphs
David Conlon, Asaf Ferber, Rajko Nenadov, Nemanja \v{S}kori\'c

TL;DR
This paper improves the understanding of universality in random graphs, showing that for maximum degree , the threshold for containing all such graphs can be lowered significantly beyond the natural boundary.
Contribution
It demonstrates that for , the universality threshold in random graphs is lower than previously known, surpassing the natural boundary with a new probabilistic bound.
Findings
For , universality holds at p = (n^{-rac{1}{\u0003-1}} ext{log}^5 n)
Improves previous thresholds for universality in random graphs
Shows universality for a broader class of graphs with higher probability
Abstract
A graph is said to be -universal if it contains every graph on vertices with maximum degree at most . It is known that for any and any natural number there exists such that the random graph is asymptotically almost surely -universal for . Bypassing this natural boundary, we show that for the same conclusion holds when .
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Taxonomy
TopicsLimits and Structures in Graph Theory · Advanced Topology and Set Theory · Advanced Graph Theory Research
