Distributed weak independent sets in hypergraphs: Upper and lower bounds
Abstract
In this paper, we consider the problem of finding weak independent sets in a distributed network represented by a hypergraph. In this setting, each edge contains a set of r vertices rather than simply a pair, as in a standard graph. A k-weak independent set in a hypergraph is a set where no edge contains more than k vertices in the independent set. We focus two variations of this problem. First, we study the problem of finding k-weak maximal independent sets, k-weak independent sets where each vertex belongs to at least one edge with k vertices in the independent set. Second we introduce a weaker variant that we call (α, β)-independent sets where the independent set is β-weak, and each vertex belongs to at least one edge with at least α vertices in the independent set. Finally, we consider the problem of finding a (2, k)-ruling set on hypergraphs, i.e. independent sets where no vertex is a distance of more than k from the nearest member of the set. Given a hypergraph H of rank r and maximum degree , we provide a LLL formulation for finding an (α, β)-independent set when (β - α)2 / (β + α) ≥ 6 (16 r ), an O( r / (β - α + 1) + * n) round deterministic algorithm finding an (α, β)-independent set, and a O(2(r - k) r + r * r + * n) round algorithm for finding a k-weak maximal independent set. Additionally, we provide zero round randomized algorithms for finding (α, β) independent sets, when (β - α)2 / (β + α) ≥ 6 c n + 6 for some constant c, and finding an m-weak independent set for some m ≥ r / 2k where k is a given parameter. Finally, we provide lower bounds of ( + * n) and (r + * n) on the problems of finding a k-weak maximal independent sets for some values of k.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.