
TL;DR
This paper investigates the asymptotic probabilities of first-order properties in random graphs G(N,p) with specific edge probability decay, identifying parameter ranges where the zero-one k-law holds.
Contribution
It extends the zero-one k-law to new parameter ranges for the random graph G(N,p) with p defined by lnp=-a ln N, for a>0.
Findings
Identifies parameter ranges where zero-one k-law applies.
Determines critical values of a for the law to hold.
Provides asymptotic probability analysis for first-order properties.
Abstract
We study an asymptotic behavior of the probabilities of first-order properties of random graph G(N,p) in the article. We conider p such that lnp=-alnN, a>0. We find values of parameter a from (1-exp(ln2(1-k)),1) such that the random graph obeys zero-one k-law.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLimits and Structures in Graph Theory · Advanced Graph Theory Research · Graph theory and applications
