English

On the "second" Kahn--Kalai Conjecture

Combinatorics 2025-08-21 v1 Probability

Abstract

We make progress on a conjecture of Kahn and Kalai, the original (stronger but less general) version of what became known as the ``Kahn-Kalai Conjecture" (KKC; now a theorem of Park and Pham). This ``second" KKC concerns the threshold, pc(H)p_c(H), for Gn,pG_{n,p} to contain a copy of a given graph HH, predicting pc(H)=O(pE(H)logn)p_c(H) = O(p_{\mathbb E}(H)\log n), where pEp_{\mathbb E} is an easy lower bound on pcp_c. What we actually show is pE(H)=O(pE(H)log2n)p_{\mathbb E}^*(H)=O(p_{\mathbb E}(H)\log ^2n), where pEp_{\mathbb E}^*, the fractional expectation threshold, is a larger lower bound suggested by Talagrand. When combined with Talagrand's fractional relaxation of the KKC (now a theorem of Frankston, Kahn, Narayanan and Park), this gives pc(H)=O(pE(H)log3n)p_c(H)=O(p_{\mathbb E}(H)\log^3 n). (The second KKC would follow similarly if one could remove the log factors from the above bound on pEp_{\mathbb E}^*.)

Cite

@article{arxiv.2508.14269,
  title  = {On the "second" Kahn--Kalai Conjecture},
  author = {Quentin Dubroff and Jeff Kahn and Jinyoung Park},
  journal= {arXiv preprint arXiv:2508.14269},
  year   = {2025}
}

Comments

14 pages

R2 v1 2026-07-01T04:57:41.270Z