Title
On the sizes of large subgraphs of the binomial random graph
Abstract
We consider the binomial random graph G(n, p), where p is a constant, and answer the following two questions. First, given e(k) = p((k)(2))+ O(k), what is the maximum k such that a.a.s. the binomial random 2 graph G(n, p) has an induced subgraph with k vertices and e(k) edges? We prove that this maximum is not concentrated in any finite set (in contrast to the case of a small e(k)). Moreover, for every constant C > 0, with probability bounded away from 0, the size of the concentration set is bigger than C root n/ lnn, and, for every omega(n) -> infinity, a.a.s. it is smaller than omega root nn/ lnn. Second, given k > epsilon n, what is the maximum mu such that a.a.s. the set of sizes of k vertex subgraphs of G(n, p) contains a full interval of length mu? The answer is mu = Theta(root(n - k)n ln ((n)(k)) (c) 2021 Published by Elsevier B.V.
Year
DOI
Venue
2022
10.1016/j.disc.2021.112675
DISCRETE MATHEMATICS
Keywords
DocType
Volume
Random graph, Induced subgraphs, Large subgraphs
Journal
345
Issue
ISSN
Citations 
2
0012-365X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
József Balogh186289.91
Maksim Zhukovskii224.51