Multipacking in Hypercubes
Abstract
For an undirected graph G, a dominating broadcast on G is a function f : V(G) → N such that for any vertex u ∈ V(G), there exists a vertex v ∈ V(G) with f(v) ≥slant 1 and d(u,v) ≤slant f(v). The cost of f is Σv ∈ V f(v). The minimum cost over all the dominating broadcasts on G is defined as the broadcast domination number γb(G) of G. A multipacking in G is a subset M ⊂eq V(G) such that, for every vertex v ∈ V(G) and every positive integer r, the number of vertices in M within distance r of v is at most r. The multipacking number of G, denoted mp(G), is the maximum cardinality of a multipacking in G. These two optimisation problems are duals of each other, and it easily follows that mp(G) ≤slant γb(G). It is known that γb(G) ≤slant 2mp(G)+3 and conjectured that γb(G) ≤slant 2mp(G). In this paper, we show that for the n-dimensional hypercube Qn n2 ≤slant mp(Qn) ≤slant n2 + 62n. Since γb(Qn) = n-1 for all n ≥slant 3, this verifies the above conjecture on hypercubes and, more interestingly, gives a sequence of connected graphs for which the ratio γb(G)mp(G) approaches 2, a search for which was initiated by Beaudou, Brewster and Foucaud in 2018. It follows that, for connected graphs G mp(G) → ∞ \γb(G)mp(G)\ = 2. The lower bound on mp(Qn) is established by a recursive construction, and the upper bound is established using a classic result from discrepancy theory.
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