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A criterion for Andrásfai--Erdős--Sós type theorems and applications

Jianfeng Hou, Xizhi Liu, Hongbin Zhao

TL;DR

This work extends the Andrásfai–Erdős–Sós stability paradigm to r-graphs by introducing edge-stability and vertex-extendability, showing that edge-stable plus vertex-extendable families are degree-stable with respect to a natural hereditary class. Leveraging this criterion, the authors classify many hypergraph families and derive powerful algorithmic and spectral Turán consequences, including an $O(n^r)$-time algorithm for deciding $F$-freeness in dense hypergraphs and tight (up to constants) bounds for embedding problems under ETH and W[1]-hardness assumptions. They connect extremal structure with pattern-coloring via Turán pairs $(F,P)$ and obtain efficient homomorphism and surjective-homomorphism tests for minimal patterns, yielding unique colorings under large minimum degree. The results significantly advance spectral Turán theory for hypergraphs and provide a unified framework for fast decision procedures in dense regimes, with implications for both theory and potential applications in graph/hypergraph pattern detection.

Abstract

The classical Andrásfai--Erdős--Sós Theorem states that for $\ell\ge 2$, every $n$-vertex $K_{\ell+1}$-free graph with minimum degree greater than $\frac{3\ell-4}{3\ell-1}n$ must be $\ell$-partite. We establish a simple criterion for $r$-graphs, $r \geq 2$, to exhibit an Andrásfai--Erdős--Sós type property, also known as degree-stability. This leads to a classification of most previously studied hypergraph families with this property. An immediate application of this result, combined with a general theorem by Keevash--Lenz--Mubayi, solves the spectral Turán problems for a large class of hypergraphs. For every $r$-graph $F$ with degree-stability, there is a simple algorithm to decide the $F$-freeness of an $n$-vertex $r$-graph with minimum degree greater than $(π(F) - \varepsilon_F)\binom{n}{r-1}$ in time $O(n^r)$, where $\varepsilon_F >0$ is a constant. In particular, for the complete graph $K_{\ell+1}$, we can take $\varepsilon_{K_{\ell+1}} = (3\ell^2-\ell)^{-1}$, and this bound is tight up to some multiplicative constant factor unless $\mathbf{W[1]} = \mathbf{FPT}$. Based on a result by Chen--Huang--Kanj--Xia, we further show that for every fixed $C > 0$, this problem cannot be solved in time $n^{o(\ell)}$ if we replace $\varepsilon_{K_{\ell+1}}$ with $(C\ell)^{-1}$ unless $\mathbf{ETH}$ fails. Furthermore, we apply the degree-stability of $K_{\ell+1}$ to decide the $K_{\ell+1}$-freeness of graphs whose size is close to the Turán bound in time $(\ell+1)n^2$, partially improving a recent result by Fomin--Golovach--Sagunov--Simonov. As an intermediate step, we show that for a specific class of $r$-graphs $F$, the (surjective) $F$-coloring problem can be solved in time $O(n^r)$, provided the input $r$-graph has $n$ vertices and a large minimum degree, refining several previous results.

A criterion for Andrásfai--Erdős--Sós type theorems and applications

TL;DR

This work extends the Andrásfai–Erdős–Sós stability paradigm to r-graphs by introducing edge-stability and vertex-extendability, showing that edge-stable plus vertex-extendable families are degree-stable with respect to a natural hereditary class. Leveraging this criterion, the authors classify many hypergraph families and derive powerful algorithmic and spectral Turán consequences, including an -time algorithm for deciding -freeness in dense hypergraphs and tight (up to constants) bounds for embedding problems under ETH and W[1]-hardness assumptions. They connect extremal structure with pattern-coloring via Turán pairs and obtain efficient homomorphism and surjective-homomorphism tests for minimal patterns, yielding unique colorings under large minimum degree. The results significantly advance spectral Turán theory for hypergraphs and provide a unified framework for fast decision procedures in dense regimes, with implications for both theory and potential applications in graph/hypergraph pattern detection.

Abstract

The classical Andrásfai--Erdős--Sós Theorem states that for , every -vertex -free graph with minimum degree greater than must be -partite. We establish a simple criterion for -graphs, , to exhibit an Andrásfai--Erdős--Sós type property, also known as degree-stability. This leads to a classification of most previously studied hypergraph families with this property. An immediate application of this result, combined with a general theorem by Keevash--Lenz--Mubayi, solves the spectral Turán problems for a large class of hypergraphs. For every -graph with degree-stability, there is a simple algorithm to decide the -freeness of an -vertex -graph with minimum degree greater than in time , where is a constant. In particular, for the complete graph , we can take , and this bound is tight up to some multiplicative constant factor unless . Based on a result by Chen--Huang--Kanj--Xia, we further show that for every fixed , this problem cannot be solved in time if we replace with unless fails. Furthermore, we apply the degree-stability of to decide the -freeness of graphs whose size is close to the Turán bound in time , partially improving a recent result by Fomin--Golovach--Sagunov--Simonov. As an intermediate step, we show that for a specific class of -graphs , the (surjective) -coloring problem can be solved in time , provided the input -graph has vertices and a large minimum degree, refining several previous results.
Paper Structure (9 sections, 12 theorems, 39 equations, 1 table, 3 algorithms)

This paper contains 9 sections, 12 theorems, 39 equations, 1 table, 3 algorithms.

Key Result

Theorem 1.1

Let $\mathcal{F}$ be a nondegenerate family of $r$-graph and $\mathfrak{H}$ be a hereditaryA family $\mathfrak{H}$ is hereditary if all subgraphs of every member $H\in \mathfrak{H}$ are also contained in $\mathfrak{H}$. class of $\mathcal{F}$-free $r$-graphs. If $\mathcal{F}$ is both edge-stable and

Theorems & Definitions (28)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3: Keevash--Lenz--Mubayi KLM14
  • Theorem 1.4
  • Theorem 1.5
  • Theorem 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Theorem 1.9
  • Theorem 1.10
  • ...and 18 more