Towards the Erdős matching conjecture for 4-uniform hypergraphs: stability and applications
Peter Frankl, Hongliang Lu, Jie Ma, Yuze Wu
TL;DR
This work advances the Erdős Matching Conjecture to 4-uniform hypergraphs by proving the EMC for large $n$ in the regime $n\ge 5s$, $e(H) le inom{n}{4}-inom{n-s}{4}$ when $ u(H) le s$. The core technical contribution is a fractional stability result, showing that near-extremal, stable 4-graphs must be close to the canonical extremal $H_{1}$, built from a fractional matching/cover framework. The authors leverage this fractional stability to obtain new exact minimum $d$-degree thresholds for matchings in 5- and 6-uniform hypergraphs, and then push the EMC toolkit to deduce EMC for 4-graphs in a broad range of $n$ and $s$. Overall, the paper introduces a fractional-stability paradigm that unifies extremal counting with fractional covering methods and probabilistic devices to achieve stability and exact matching results in higher uniformities, marking a significant step toward the full EMC for larger $k$.
Abstract
A famous conjecture of Erdős asserts that for $k\ge 3$, the maximum number of edges in an $n$-vertex $k$-uniform hypergraph without $s+1$ pairwise disjoint edges is $\max\{\binom{n}{k}-\binom{n-s}{k},\binom{sk+k-1}{k}\}$. This problem has been central in extremal combinatorics, with substantial progress in the literature, including a complete solution for $k=3$ due to the first author. In this paper, we make progress towards the $4$-uniform case, proving the conjecture for $n\ge 5s$ and sufficiently large $n$, thereby taking a first step analogous to the $3$-uniform case. The main technical contribution is a stability result of independent interest. We further apply this stability to resolve two new instances of conjectures on the minimum $d$-degree threshold for matchings in $5$- and $6$-uniform hypergraphs, in a strengthened form.
