We study the metric properties of finite subsets of L1. The analysis of such metrics is central to a number of important algorithmic problems involving the cut structure of weighted graphs, including the Sparsest Cut Problem, one of the most compelling open problems in the field of approximation algorithms. Additionally, many open questions in geometric non-linear functional analysis involve the properties of finite subsets of L1.We present some new observations concerning the relation of L1 to dimension, topology, and Euclidean distortion. We show that every n-point subset of L1 embeds into L2 with average distortion O( √ log n), yielding the first evidence that the conjectured worst-case bound of O( √ log n) is valid. We also address the issue of dimension reduction in Lp for p ∈ (1, 2). We resolve a question left open in [4] about the impossibility of linear dimension reduction in the above cases, and we show that the example of [3,16] cannot be used to prove a lower bound for the non-linear case. This is accomplished by exhibiting constant-distortion embeddings of snowflaked planar metrics into Euclidean space.
IntroductionThis paper is devoted to the analysis of metric properties of finite subsets of L 1 . Such metrics occur in many important algorithmic contexts, and their analysis is key to progress on some fundamental problems. For instance, an O(log n)-approximate max-flow/min-cut theorem proved elusive for many years until, in [18,2], it was shown to follow from a theorem of Bourgain stating that every metric on n points embeds into L 1 with distortion O(log n).The importance of L 1 metrics has given rise to many problems and conjectures that have attracted a lot of attention in recent years. to Four basic problems of this type are as follows . (We recall that a squared-ℓ 2 metric is a space (X, d) for which (X, d 1/2 ) embeds isometrically in a Hilbert space.) Each of these questions has been asked many times before; we refer to [21,22,17,11], in particular. Despite an immense amount of interest and effort, the metric properties of L 1 have proved quite elusive; *