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Saturation numbers for $3$-uniform Berge-$K_4$

Yihan Chen, Jialin He, Tianying Xie

TL;DR

This work determines the exact 3-uniform Berge-$K_4$-saturation number $ ext{sat}_3(n, ext{Berge-}K_4)$ for $n=5,7,8$ and all $n\ge 96$, with a special case $ ext{sat}_3(6, ext{Berge-}K_4)=5$. The authors combine two explicit upper-bound constructions, based on a tight $5$-cycle ${\mathcal C}^3_5$ and a gadget ${\mathcal T}$, with a rigorous lower-bound analysis that uses a vertex-partition and a careful study of edge-types between parts, to pin down the threshold at which the linear bound $n$ is achieved. They also classify all extremal hypergraphs for $5\le n\le 8$ via computer search and demonstrate the existence of many non-isomorphic extremal families for large $n$, suggesting a robust recursive structure via ${\mathcal T}$-augmentation. The paper develops an algorithmic framework for generating Berge-$K_\ell$-saturated hypergraphs, enabling broader exploration of saturation numbers in hypergraphs and offering concrete tools for future research.

Abstract

The saturation number $\text{sat}_r(n,\mathcal{F})$ is the minimum number of hyperedges in an $r$-uniform $\mathcal{F}$-saturated hypergraph on $n$ vertices. We determine this parameter for $3$-uniform Berge-$K_4$ hypergraphs, proving that $\text{sat}_3(n,\text{Berge-}K_4)=n$ for $n =5,7,8$ and $n\ge 96$, while $\text{sat}_3(6,\text{Berge-}K_4)=5$. This resolves a problem posed by English, Kritschgau, Nahvi, and Sprangel~\cite{EKNS2024} for large $n.$ Using a computer search, we classify all extremal hypergraphs for $5\le n\le 8.$ For $n\geq 96$, we further show the existence of many non-isomorphic extremal families. Our approach synthesizes structural insights with computational power.

Saturation numbers for $3$-uniform Berge-$K_4$

TL;DR

This work determines the exact 3-uniform Berge--saturation number for and all , with a special case . The authors combine two explicit upper-bound constructions, based on a tight -cycle and a gadget , with a rigorous lower-bound analysis that uses a vertex-partition and a careful study of edge-types between parts, to pin down the threshold at which the linear bound is achieved. They also classify all extremal hypergraphs for via computer search and demonstrate the existence of many non-isomorphic extremal families for large , suggesting a robust recursive structure via -augmentation. The paper develops an algorithmic framework for generating Berge--saturated hypergraphs, enabling broader exploration of saturation numbers in hypergraphs and offering concrete tools for future research.

Abstract

The saturation number is the minimum number of hyperedges in an -uniform -saturated hypergraph on vertices. We determine this parameter for -uniform Berge- hypergraphs, proving that for and , while . This resolves a problem posed by English, Kritschgau, Nahvi, and Sprangel~\cite{EKNS2024} for large Using a computer search, we classify all extremal hypergraphs for For , we further show the existence of many non-isomorphic extremal families. Our approach synthesizes structural insights with computational power.
Paper Structure (11 sections, 6 theorems, 14 equations, 2 figures)

This paper contains 11 sections, 6 theorems, 14 equations, 2 figures.

Key Result

Theorem 1.1

For $n = 5,7,8$ and $n\geq 96$, we have while $\mathrm{sat}_3(6,\mathrm{Berge}\text{-}K_4)=5$. Moreover, there exist many non-isomorphic extremal hypergraphs.

Figures (2)

  • Figure 1: Figure of Construction \ref{['Construction: odd n']}
  • Figure 2: Figure of Construction \ref{['Construction: even n']}

Theorems & Definitions (18)

  • Theorem 1.1
  • Lemma 2.1
  • proof
  • Claim 2.2
  • proof : Proof of Claim \ref{['ref:Claim u v adjacent']}
  • proof
  • Lemma 3.2
  • proof
  • Lemma 3.3
  • proof
  • ...and 8 more