A Hierarchy of Lower Bounds for Sublinear Additive Spanners
Amir Abboud, Greg Bodwin, and Seth Pettie

TL;DR
This paper establishes a hierarchy of lower bounds for additive spanners, characterizing the fundamental tradeoff between size and stretch, and presents new constructions that nearly match these bounds.
Contribution
It introduces a hierarchy of lower bounds for sublinear additive spanners and provides new spanner constructions that are close to optimal according to these bounds.
Findings
Lower bounds match known spanner constructions.
Tradeoff between size and stretch is fully characterized.
New spanner constructions improve previous size bounds.
Abstract
Spanners, emulators, and approximate distance oracles can be viewed as lossy compression schemes that represent an unweighted graph metric in small space, say bits. There is an inherent tradeoff between the sparsity parameter and the stretch function of the compression scheme, but the qualitative nature of this tradeoff has remained a persistent open problem. In this paper we show that the recent additive spanner lower bound of Abboud and Bodwin is just the first step in a hierarchy of lower bounds that fully characterize the asymptotic behavior of the optimal stretch function as a function of . Specifically, for any integer , any compression scheme with size has a sublinear additive stretch function : This lower bound matches Thorup…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Machine Learning and Algorithms · Stochastic Gradient Optimization Techniques
