A Unified Framework of Light Spanners II: Fine-Grained Optimality
Hung Le, Shay Solomon

TL;DR
This paper introduces a unified framework for constructing light spanners across various graph classes, improving optimality bounds and runtime efficiency by transforming sparse spanners into light spanners, with significant results for minor-free graphs.
Contribution
It develops a refined, unified approach to light spanners that enhances bounds and efficiency, addressing previous ad hoc methods and sub-optimal runtimes.
Findings
Improved lightness bound for $K_r$-minor-free graphs: $ ilde{O}_{r,rac{1}{ ext{epsilon}}}(rac{r}{ ext{epsilon}} + rac{1}{ ext{epsilon}^2})$
Established a lower bound matching the upper bound for lightness, $ ext{Omega}(rac{r}{ ext{epsilon}} + rac{1}{ ext{epsilon}^2})$
Surprising quadratic dependency on $1/ ext{epsilon}$ in lightness bounds
Abstract
Seminal works on light spanners over the years provide spanners with optimal lightness in various graph classes, such as in general graphs, Euclidean spanners, and minor-free graphs. Three shortcomings of previous works on light spanners are: (1) The techniques are ad hoc per graph class, and thus can't be applied broadly. (2) The runtimes of these constructions are almost always sub-optimal, and usually far from optimal. (3) These constructions are optimal in the standard and crude sense, but not in a refined sense that takes into account a wider range of involved parameters. This work aims at addressing these shortcomings by presenting a unified framework of light spanners in a variety of graph classes. Informally, the framework boils down to a transformation from sparse spanners to light spanners; since the state-of-the-art for sparse spanners is much more advanced than that for…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs
