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New Additive Spanner Lower Bounds by an Unlayered Obstacle Product

Greg Bodwin, Gary Hoppenworth

2022Year
4Citations
3Top-tier citations

Abstract

For an input graph G, an additive spanner is a sparse subgraph H whose shortest paths match those of G up to small additive error. We prove two new lower bounds in the area of additive spanners:•We construct n-node graphs G for which any spanner on O(n)O(n) edges must increase a pairwise distance by +Ω(n1/7)+\Omega(n^{1/7}). This improves on a recent lower bound of +Ω(n1/10.5)+\Omega(n^{1/10.5}) by Lu, Wein, Vassilevska Williams, and Xu [SODA 22].•A classic result by Coppersmith and Elkin [SODA 05] proves that for any n-node graph G and set of p=O(n1/2)p=O(n^{1/2}) demand pairs, one can exactly preserve all pairwise distances among demand pairs using a spanner on O(n)O(n) edges. They also provided a lower bound construction, establishing that that this range p=O(n1/2)p=O(n^{1/2}) cannot be improved. We strengthen this lower bound by proving that, for any constant k, this range of p is still unimprovable even if the spanner is allowed +k+k additive error among the demand pairs. This negatively resolves an open question asked by Coppersmith and Elkin [SODA 05] and again by Cygan, Grandoni, and Kavitha [STACS 13] and Abboud and Bodwin [SODA 16].At a technical level, our lower bounds are obtained by an improvement to the entire obstacle product framework used to compose “inner” and outer” graphs into lower bound instances. In particular, we develop a new strategy for analysis that allows certain non-layered graphs to be used in the product, and we use this freedom to design better inner and outer graphs that lead to our new lower bounds.

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