Isomorphisms between dense random graphs

Fuente: arXiv
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Hauptverfasser: Surya, Erlang, Warnke, Lutz, Zhu, Emily
Format: Preprint
Veröffentlicht: 2023
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author Surya, Erlang
Warnke, Lutz
Zhu, Emily
author_facet Surya, Erlang
Warnke, Lutz
Zhu, Emily
contents We consider two variants of the induced subgraph isomorphism problem for two independent binomial random graphs with constant edge-probabilities p_1,p_2. In particular, (i) we prove a sharp threshold result for the appearance of G_{n,p_1} as an induced subgraph of G_{N,p_2}, (ii) we show two-point concentration of the size of the maximum common induced subgraph of G_{N, p_1} and G_{N,p_2}, and (iii) we show that the number of induced copies of G_{n,p_1} in G_{N,p_2} has an unusual limiting distribution. These results confirm simulation-based predictions of McCreesh, Prosser, Solnon and Trimble, and resolve several open problems of Chatterjee and Diaconis. The proofs are based on careful refinements of the first and second moment method, using extra twists to (a) take some non-standard behaviors into account, and (b) work around the large variance issues that prevent standard applications of these methods.
format Preprint
id arxiv_https___arxiv_org_abs_2305_04850
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Isomorphisms between dense random graphs
Surya, Erlang
Warnke, Lutz
Zhu, Emily
Combinatorics
Discrete Mathematics
Probability
05C80, 05C60, 60C05
We consider two variants of the induced subgraph isomorphism problem for two independent binomial random graphs with constant edge-probabilities p_1,p_2. In particular, (i) we prove a sharp threshold result for the appearance of G_{n,p_1} as an induced subgraph of G_{N,p_2}, (ii) we show two-point concentration of the size of the maximum common induced subgraph of G_{N, p_1} and G_{N,p_2}, and (iii) we show that the number of induced copies of G_{n,p_1} in G_{N,p_2} has an unusual limiting distribution. These results confirm simulation-based predictions of McCreesh, Prosser, Solnon and Trimble, and resolve several open problems of Chatterjee and Diaconis. The proofs are based on careful refinements of the first and second moment method, using extra twists to (a) take some non-standard behaviors into account, and (b) work around the large variance issues that prevent standard applications of these methods.
title Isomorphisms between dense random graphs
topic Combinatorics
Discrete Mathematics
Probability
05C80, 05C60, 60C05
url https://arxiv.org/abs/2305.04850