
TL;DR
This paper generalizes cover-free families using graph theory, establishing bounds and constructions for various graph classes, and linking these to classical combinatorial concepts like Sperner families and Gray codes.
Contribution
It introduces graph-based generalizations of cover-free families, proves key relationships, and provides new bounds and constructions for specific graph families.
Findings
Established that $t_s(G) = t(1, ext{chi}(G))$ for any simple graph G.
Derived bounds for $t(G)$ for various graphs, including stars, paths, and cycles.
Constructed bounds for paths and cycles using Gray codes, e.g., $ ext{log}_2(n) \
Abstract
A family of subsets of a -set is a \emph{-cover-free family} or -CFF if no subset in the family is contained in the union of any other subsets. Let denote the minimum for which there exists a -CFF on a -set with subsets. Since a -CFF is the same as a Sperner family, using Sperner's theorem, we get as grows. Erd\"os, Frankl, and F\"uredi (JCTA, 1982) proved that . This paper focuses on generalizing -CFF and -CFF using a graph where vertices correspond to subsets in the set system. A -Sperner is a family of subsets of a -set such that each edge of specifies a pair of subsets not contained in each other, where as a -CFF is a family of subsets of a -set such that it is -Sperner and the union of a pair of subsets corresponding to…
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