First order distinguishability of sparse random graphs

Fuente: arXiv
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Autores principales: Hershko, Tal, Zhukovskii, Maksim
Formato: Preprint
Publicado: 2024
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author Hershko, Tal
Zhukovskii, Maksim
author_facet Hershko, Tal
Zhukovskii, Maksim
contents We study the problem of distinguishing between two independent samples $\mathbf{G}_n^1,\mathbf{G}_n^2$ of a binomial random graph $G(n,p)$ by first order (FO) sentences. Shelah and Spencer proved that, for a constant $α\in(0,1)$, $G(n,n^{-α})$ obeys FO zero-one law if and only if $α$ is irrational. Therefore, for irrational $α\in(0,1)$, any fixed FO sentence does not distinguish between $\mathbf{G}_n^1,\mathbf{G}_n^2$ with asymptotical probability 1 (w.h.p.) as $n\to\infty$. We show that the minimum quantifier depth $\mathbf{k}_α$ of a FO sentence $φ=φ(\mathbf{G}_n^1,\mathbf{G}_n^2)$ distinguishing between $\mathbf{G}_n^1,\mathbf{G}_n^2$ depends on how closely $α$ can be approximated by rationals: (1) for all non-Liouville $α\in(0,1)$, $\mathbf{k}_α=Ω(\ln\ln\ln n)$ w.h.p.; (2) there are irrational $α\in(0,1)$ with $\mathbf{k}_α$ that grow arbitrarily slowly w.h.p.; (3) $\mathbf{k}_α=O_p(\frac{\ln n}{\ln\ln n})$ for all $α\in(0,1)$. The main ingredients in our proofs are a novel randomized algorithm that generates asymmetric strictly balanced graphs as well as a new method to study symmetry groups of randomly perturbed graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09146
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle First order distinguishability of sparse random graphs
Hershko, Tal
Zhukovskii, Maksim
Combinatorics
Discrete Mathematics
Logic in Computer Science
We study the problem of distinguishing between two independent samples $\mathbf{G}_n^1,\mathbf{G}_n^2$ of a binomial random graph $G(n,p)$ by first order (FO) sentences. Shelah and Spencer proved that, for a constant $α\in(0,1)$, $G(n,n^{-α})$ obeys FO zero-one law if and only if $α$ is irrational. Therefore, for irrational $α\in(0,1)$, any fixed FO sentence does not distinguish between $\mathbf{G}_n^1,\mathbf{G}_n^2$ with asymptotical probability 1 (w.h.p.) as $n\to\infty$. We show that the minimum quantifier depth $\mathbf{k}_α$ of a FO sentence $φ=φ(\mathbf{G}_n^1,\mathbf{G}_n^2)$ distinguishing between $\mathbf{G}_n^1,\mathbf{G}_n^2$ depends on how closely $α$ can be approximated by rationals: (1) for all non-Liouville $α\in(0,1)$, $\mathbf{k}_α=Ω(\ln\ln\ln n)$ w.h.p.; (2) there are irrational $α\in(0,1)$ with $\mathbf{k}_α$ that grow arbitrarily slowly w.h.p.; (3) $\mathbf{k}_α=O_p(\frac{\ln n}{\ln\ln n})$ for all $α\in(0,1)$. The main ingredients in our proofs are a novel randomized algorithm that generates asymmetric strictly balanced graphs as well as a new method to study symmetry groups of randomly perturbed graphs.
title First order distinguishability of sparse random graphs
topic Combinatorics
Discrete Mathematics
Logic in Computer Science
url https://arxiv.org/abs/2405.09146