Saturation in Random Hypergraphs

TL;DR

This paper investigates the saturation properties of random hypergraphs, extending previous results from graphs to hypergraphs, and determines the minimal size of saturated hypergraphs for various parameters.

Contribution

It generalizes the saturation problem from random graphs to hypergraphs for all uniformities and fixed probabilities, providing exact asymptotic results.

Findings

Determined the size of the smallest $F$-saturated hypergraphs in random hypergraphs.

Extended saturation results from graphs to hypergraphs for all uniformities $r<s$.

Provided asymptotic formulas for saturation numbers in hypergraphs.

Abstract

Let $K^r_n$ be the complete $r$-uniform hypergraph on $n$ vertices, that is, the hypergraph whose vertex set is $[n]:=\{1,2,...,n\}$ and whose edge set is $\binom{[n]}{r}$. We form $G^r(n,p)$ by retaining each edge of $K^r_n$ independently with probability $p$. An $r$-uniform hypergraph $H\subseteq G$ is $F$-saturated if $H$ does not contain any copy of $F$, but any missing edge of $H$ in $G$ creates a copy of $F$. Furthermore, we say that $H$ is weakly $F$-saturated in $G$ if $H$ does not contain any copy of $F$, but the missing edges of $H$ in $G$ can be added back one-by-one, in some order, such that every edge creates a new copy of $F$. The smallest number of edges in an $F$-saturated hypergraph in $G$ is denoted by $sat(G,F)$, and in a weakly $F$-saturated hypergraph in $G$ by $wsat(G,F)$. In 2017, Kor\'andi and Sudakov initiated the study of saturation in random graphs, showing that for constant $p$, with high probability $sat(G(n,p),K_s)=(1+o(1))n\log_{\frac{1}{1-p}}n$, and $wsat(G(n,p),K_s)=wsat(K_n,K_s)$. Generalising their results, in this paper, we solve the suturation problem for random hypergraphs for every $2\le r < s$ and constant $p$.