Author:
Alweiss Ryan,Hamida Chady Ben,He Xiaoyu,Moreira Alexander
Abstract
AbstractGiven a fixed graph H, a real number p (0, 1) and an infinite Erdös–Rényi graph G ∼ G(∞, p), how many adjacency queries do we have to make to find a copy of H inside G with probability at least 1/2? Determining this number f(H, p) is a variant of the subgraph query problem introduced by Ferber, Krivelevich, Sudakov and Vieira. For every graph H, we improve the trivial upper bound of f(H, p) = O(p−d), where d is the degeneracy of H, by exhibiting an algorithm that finds a copy of H in time O(p−d) as p goes to 0. Furthermore, we prove that there are 2-degenerate graphs which require p−2+o(1) queries, showing for the first time that there exist graphs H for which f(H, p) does not grow like a constant power of p−1 as p goes to 0. Finally, we answer a question of Feige, Gamarnik, Neeman, Rácz and Tetali by showing that for any δ < 2, there exists α < 2 such that one cannot find a clique of order α log2n in G(n, 1/2) in nδ queries.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Computational Theory and Mathematics,Statistics and Probability,Theoretical Computer Science
Reference14 articles.
1. Positional Games
2. Finding a planted clique by adaptive probing;Rácz;Random Struct. Algorithms,2020
3. [5] Conlon, D. , Fox, J. , Grinshpun, A. and He, X. (2019) Online Ramsey numbers and the subgraph query problem. In Building Bridges II, Vol. 28 of Bolyai Society Mathematical Studies, Springer.
4. [13] Pham, H. Personal communication.
5. Finding paths in sparse random graphs requires many queries;Ferber;Random Struct. Algorithms,2017