Approximating Metrics by Tree Metrics of Small Distance-Weighted Average Stretch

We study the problem of how well a tree metric is able to preserve the sum of pairwisedistances of an arbitrary metric. This problem is closely related to low-stretch metricembeddings and is interesting by its own flavor from the line of research proposed in theliterature.As the structure of a tree imposes great constraints on the pairwise distances, any embed-ding of a metric into a tree metric is known to have maximum pairwise stretch of Ω(log n).We show, however, from the perspective of average performance, there exist tree metricswhich preserve the sum of pairwise distances of the given metric up to a small constantfactor, for which we also show to be no worse than twice what we can possibly expect. Theapproach we use to tackle this problem is more direct compared to a previous result of [4],and also leads to a provably better guarantee. Second, when the given metric is extractedfrom a Euclidean point set of finite dimension d, we show that there exist spanning treesof the given point set such that the sum of pairwise distances is preserved up to a constantwhich depends only on d. Both of our proofs are constructive. The main ingredient in ourresult is a special point-set decomposition which relates two seemingly-unrelated quantities.