Short monadic second order sentences about sparse random graphs
Andrey Kupavskii, Maksim Zhukovskii

TL;DR
This paper investigates zero-one laws for monadic second order properties of sparse Erdős–Rényi graphs, identifying specific conditions under which these laws hold or fail for different quantifier depths.
Contribution
It determines all values of lpha>0 where the zero-one 3-law for MSO properties fails and shows infinitely many such lpha for the 4-law, advancing understanding of logical properties in sparse graphs.
Findings
Zero-one 3-law for MSO properties fails at specific lpha values.
Infinitely many lpha values where the zero-one 4-law does not hold.
Analysis of graph property evolution relevant to logical law failures.
Abstract
In this paper, we study zero-one laws for the Erd\H{o}s--R\'{e}nyi random graph model in the case when for . For a given class of logical sentences about graphs and a given function , we say that obeys the zero-one law (w.r.t. the class ) if each sentence either a.a.s. true or a.a.s. false for . In this paper, we consider first order properties and monadic second order properties of bounded \textit{quantifier depth} , that is, the length of the longest chain of nested quantifiers in the formula expressing the property. Zero-one laws for properties of quantifier depth we call the \textit{zero-one -laws}. The main results of this paper concern the zero-one -laws for monadic second order properties (MSO properties). We determine all values , for which…
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