New Additive Spanner Lower Bounds by an Unlayered Obstacle Product
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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: 1) We construct n-node graphs G for which any spanner on O(n) edges must increase a pairwise distance by +Ω(n^1/7). This improves on a recent lower bound of +Ω(n^1/10.5) by Lu, Wein, Vassilevska Williams, and Xu [SODA '22]. 2) A classic result by Coppersmith and Elkin [SODA '05] proves that for any n-node graph G and set of p = O(n^1/2) demand pairs, one can exactly preserve all pairwise distances among demand pairs using a spanner on O(n) edges. They also provided a lower bound construction, establishing that that this range 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 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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