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Hypergraphs of girth 5 and 6 and coding theory

Kathryn Haymaker, Michael Tait, Craig Timmons

TL;DR

This work studies Turán-type bounds for $r$-uniform hypergraphs avoiding Berge cycles of short length (girth $g=5,6$). It develops two complementary constructions that leverage coding theory (Dumer’s BCH codes and Sidon-coefficient frameworks) and number-theoretic Behrend-type sets to build large girth hypergraphs, yielding nontrivial lower bounds $\mathrm{ex}_r(N, \mathcal{C}_{<5})=\Omega_r\left(N^{\frac{3}{2}-o(1)}\right)$ for $r\in\{4,5,6\}$ and related bounds for larger $r$. The paper also connects these extremal constructions to coding-theory bounds, using recent sphere-packing improvements to sharpen the upper bounds for linear distance-$6$ codes, and discusses open obstacles to extending the approach to all $r$. It highlights the deep interplay between hypergraph Turán problems and coding theory, with implications for locally recoverable codes and related combinatorial structures. An open question (Behrend-over-field) invites further exploration of finite-field Behrend-type constructions for more general coefficient configurations.

Abstract

In this paper, we study the maximum number of edges in an $N$-vertex $r$-uniform hypergraph with girth $g$ where $g \in \{5,6 \}$. Writing $\textrm{ex}_r ( N, \mathcal{C}_{<g} )$ for this maximum, it is shown that $\textrm{ex}_r ( N , \mathcal{C}_{ < 5} ) = Ω_r ( N^{3/2 - o(1)} )$ for $r \in \{4,5,6 \}$. We address an unproved claim from [31] asserting a technique of Ruzsa can be used to show that this lower bound holds for all $r \geq 3$. We carefully explain one of the main obstacles that was overlooked at the time the claim from [31] was made, and show that this obstacle can be overcome when $r\in \{4,5,6\}$. We use constructions from coding theory to prove nontrivial lower bounds that hold for all $r \geq 3$. Finally, we use a recent result of Conlon, Fox, Sudakov, and Zhao to show that the sphere packing bound from coding theory may be improved when upper bounding the size of linear $q$-ary codes of distance $6$.

Hypergraphs of girth 5 and 6 and coding theory

TL;DR

This work studies Turán-type bounds for -uniform hypergraphs avoiding Berge cycles of short length (girth ). It develops two complementary constructions that leverage coding theory (Dumer’s BCH codes and Sidon-coefficient frameworks) and number-theoretic Behrend-type sets to build large girth hypergraphs, yielding nontrivial lower bounds for and related bounds for larger . The paper also connects these extremal constructions to coding-theory bounds, using recent sphere-packing improvements to sharpen the upper bounds for linear distance- codes, and discusses open obstacles to extending the approach to all . It highlights the deep interplay between hypergraph Turán problems and coding theory, with implications for locally recoverable codes and related combinatorial structures. An open question (Behrend-over-field) invites further exploration of finite-field Behrend-type constructions for more general coefficient configurations.

Abstract

In this paper, we study the maximum number of edges in an -vertex -uniform hypergraph with girth where . Writing for this maximum, it is shown that for . We address an unproved claim from [31] asserting a technique of Ruzsa can be used to show that this lower bound holds for all . We carefully explain one of the main obstacles that was overlooked at the time the claim from [31] was made, and show that this obstacle can be overcome when . We use constructions from coding theory to prove nontrivial lower bounds that hold for all . Finally, we use a recent result of Conlon, Fox, Sudakov, and Zhao to show that the sphere packing bound from coding theory may be improved when upper bounding the size of linear -ary codes of distance .
Paper Structure (22 sections, 13 theorems, 80 equations)

This paper contains 22 sections, 13 theorems, 80 equations.

Key Result

Theorem 1.1

Let $r\in \{4,5,6\}$. Then we have

Theorems & Definitions (19)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Definition 2.1
  • Proposition 2.2
  • Proposition 2.3
  • Proposition 2.4
  • Lemma 2.5
  • Definition 2.6
  • Definition 2.7
  • ...and 9 more