English

Sparse Hypergraphs with Applications to Coding Theory

Combinatorics 2020-04-08 v4 Information Theory math.IT

Abstract

For fixed integers r3,e3,vr+1r\ge 3,e\ge 3,v\ge r+1, an rr-uniform hypergraph is called Gr(v,e)\mathscr{G}_r(v,e)-free if the union of any ee distinct edges contains at least v+1v+1 vertices. Brown, Erd\H{o}s and S\'{o}s showed that the maximum number of edges of such a hypergraph on nn vertices, denoted as fr(n,v,e)f_r(n,v,e), satisfies Ω(nerve1)=fr(n,v,e)=O(nerve1).\Omega(n^{\frac{er-v}{e-1}})=f_r(n,v,e)=\mathcal{O}(n^{\lceil\frac{er-v}{e-1}\rceil}). For e1erve-1\mid er-v, the lower bound matches the upper bound up to a constant factor; whereas for e1erve-1\nmid er-v, in general it is a notoriously hard problem to determine the correct exponent of nn. Among other results, we improve the above lower bound by showing that fr(n,v,e)=Ω(nerve1(logn)1e1)f_r(n,v,e)=\Omega(n^{\frac{er-v}{e-1}}(\log n)^{\frac{1}{e-1}}) for any r,e,vr,e,v satisfying gcd(e1,erv)=1\gcd(e-1,er-v)=1. The hypergraph we constructed is in fact Gr(ir(i1)(erv)e1,i)\mathscr{G}_r(ir-\lceil\frac{(i-1)(er-v)}{e-1}\rceil,i)-free for every 2ie2\le i\le e, and it has several interesting applications in Coding Theory. The proof of the new lower bound is based on a novel application of the lower bound on the hypergraph independence number due to Duke, Lefmann, and R{\"o}dl.

Keywords

Cite

@article{arxiv.1902.05903,
  title  = {Sparse Hypergraphs with Applications to Coding Theory},
  author = {Chong Shangguan and Itzhak Tamo},
  journal= {arXiv preprint arXiv:1902.05903},
  year   = {2020}
}

Comments

12 pages, accepted to SIAM Journal on Discrete Mathematics