Euclidean distortion and the Sparsest Cut

dc.creatorArora, Sanjeev
dc.creatorLee, James R.
dc.creatorNaor, Assaf
dc.date2005-08-08
dc.date.accessioned2026-07-07T05:22:16Z
dc.date.available2026-07-07T05:22:16Z
dc.descriptionWe prove that every $n$-point metric space of negative type (and, in particular, every $n$-point subset of $L_1$) embeds into a Euclidean space with distortion $O(\sqrt{\log n} \cdot\log \log n)$, a result which is tight up to the iterated logarithm factor. As a consequence, we obtain the best known polynomial-time approximation algorithm for the Sparsest Cut problem with general demands. Namely, if the demand is supported on a subset of size $k$, we achieve an approximation ratio of $O(\sqrt{\log k}\cdot \log \log k)$.
dc.description20 pages
dc.identifierhttps://arxiv.org/abs/math/0508154
dc.identifierhttp://arxiv.org/abs/math/0508154
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/75996
dc.subjectMetric Geometry
dc.subject46B99; 68W25
dc.titleEuclidean distortion and the Sparsest Cut
dc.typetext

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