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On the quadratic 8-edge case of the Brown-Erdős-Sós problem

Oleg Pikhurko, Shumin Sun

TL;DR

This work determines the quadratic limit for the Brown–Erdős–Sós problem at $k=8$ for all uniformities $r\ge4$, proving $\pi(r,8)=\frac{1}{r^2-r}$ and supplying a nontrivial lower bound $\pi(3,8)\ge\frac{3}{16}$ (conjectured sharp). The authors extend the Delcourt–Postle and Shangguan framework via a two-tier merging/weight approach: first decompose $r$-graphs into 1- and 2-clusters, then assign carefully crafted weights to control edge counts, ensuring a global $|G|$ bound of $\frac{1}{\binom{r}{2}}\binom{n}{2}$. A key technical element is a structural lemma that classifies large 2-clusters, together with a trimming lemma that preserves feasibility while enabling weight-analytic inequalities. The paper also highlights a link between the BE&S problem and generalized Ramsey numbers $\mathrm{GR}(n,p,q_{quad})$, providing asymptotic consequences such as $\lim_{n\to\infty}\mathrm{GR}(n,18,146)/n^2=5/12$. Overall, the results complete the picture for $k=8$ with tight upper and lower bounds and bolster the merge-weight methodology for extremal hypergraph problems.

Abstract

Let $f^{(r)}(n;s,k)$ be the maximum number of edges in an $n$-vertex $r$-uniform hypergraph containing no $k$ edges on at most $s$ vertices. Brown, Erdős and Sós conjectured in 1973 that the limit $\lim_{n\rightarrow \infty}n^{-2}f^{(3)}(n;k+2,k)$ exists for all $k$. Recently, Delcourt and Postle settled the conjecture and their approach was generalised by Shangguan to every uniformity $r\ge 4$: the limit $\lim_{n\rightarrow \infty}n^{-2}f^{(r)}(n;rk-2k+2,k)$ exists for all $r\ge 3$ and $k\ge 2$. The value of the limit is currently known for $k\in \{2,3,4,5,6,7\}$ due to various results authored by Glock, Joos, Kim, Kühn, Lichev, Pikhurko, Rödl and Sun. In this paper we consider the case $k=8$, determining the value of the limit for each $r\ge 4$ and presenting a lower bound for $k=3$ that we conjecture to be sharp.

On the quadratic 8-edge case of the Brown-Erdős-Sós problem

TL;DR

This work determines the quadratic limit for the Brown–Erdős–Sós problem at for all uniformities , proving and supplying a nontrivial lower bound (conjectured sharp). The authors extend the Delcourt–Postle and Shangguan framework via a two-tier merging/weight approach: first decompose -graphs into 1- and 2-clusters, then assign carefully crafted weights to control edge counts, ensuring a global bound of . A key technical element is a structural lemma that classifies large 2-clusters, together with a trimming lemma that preserves feasibility while enabling weight-analytic inequalities. The paper also highlights a link between the BE&S problem and generalized Ramsey numbers , providing asymptotic consequences such as . Overall, the results complete the picture for with tight upper and lower bounds and bolster the merge-weight methodology for extremal hypergraph problems.

Abstract

Let be the maximum number of edges in an -vertex -uniform hypergraph containing no edges on at most vertices. Brown, Erdős and Sós conjectured in 1973 that the limit exists for all . Recently, Delcourt and Postle settled the conjecture and their approach was generalised by Shangguan to every uniformity : the limit exists for all and . The value of the limit is currently known for due to various results authored by Glock, Joos, Kim, Kühn, Lichev, Pikhurko, Rödl and Sun. In this paper we consider the case , determining the value of the limit for each and presenting a lower bound for that we conjecture to be sharp.

Paper Structure

This paper contains 11 sections, 17 theorems, 51 equations, 3 figures.

Key Result

Theorem 1.1

For every $r\ge 4$, we have $\pi(r,8)=\frac{1}{r^2-r}.$

Figures (3)

  • Figure 1: An illustration of $R$
  • Figure 2: An illustration of the proof that $F$ is $4$-free
  • Figure 3: Examples of $2$-clusters in $\mathcal{A}$, $\mathcal{B}$, $\mathcal{C}_1$, $\mathcal{C}_2$, $\mathcal{E}$, $\mathcal{F}$, $\mathcal{S}_4$ and $\mathcal{S}_6$ for $r=4$. Here distinct colours represent different $1$-clusters.

Theorems & Definitions (43)

  • Theorem 1.1
  • Theorem 1.2
  • Conjecture 1.3
  • Theorem 1.4: BennettCushmanDudek25*Theorem 3
  • Theorem 1.5
  • Theorem 3.1: GlockJoosKimKuhnLichevPikhurko24*Theorem 3.1
  • proof : Proof of the lower bound in Theorem \ref{['thm:main']}
  • Lemma 3.2
  • proof
  • Proposition 3.3
  • ...and 33 more