The Greedy Spanner is Existentially Optimal
Arnold Filtser, Shay Solomon

TL;DR
This paper proves that the greedy spanner is existentially optimal for important graph families, establishing its near-optimality in size and weight, and introduces an efficient construction for doubling metrics.
Contribution
It provides a simple proof of the greedy spanner's existential optimality and offers a faster construction for spanners in doubling metrics.
Findings
Greedy spanner is existentially optimal for general graphs and doubling metrics.
The new construction for doubling metrics improves runtime and matches state-of-the-art parameters.
Resolved longstanding conjectures on the optimality of greedy spanners.
Abstract
The greedy spanner is arguably the simplest and most well-studied spanner construction. Experimental results demonstrate that it is at least as good as any other spanner construction, in terms of both the size and weight parameters. However, a rigorous proof for this statement has remained elusive. In this work we fill in the theoretical gap via a surprisingly simple observation: The greedy spanner is \emph{existentially optimal} (or existentially near-optimal) for several important graph families, in terms of both the size and weight. Roughly speaking, the greedy spanner is said to be existentially optimal (or near-optimal) for a graph family if the worst performance of the greedy spanner over all graphs in is just as good (or nearly as good) as the worst performance of an optimal spanner over all graphs in . Focusing on the weight parameter,…
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