Local versus global properties of metric spaces

  • Authors:
  • Sanjeev Arora;László Lovász;Ilan Newman;Yuval Rabani;Yuri Rabinovich;Santosh Vempala

  • Affiliations:
  • Princeton University;Eötvös Loránd University;University of Haifa, Haifa, Israel;Technion, Haifa, Israel;University of Haifa, Haifa, Israel;MIT

  • Venue:
  • SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
  • Year:
  • 2006

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Abstract

Motivated by applications in combinatorial optimization, we initiate a study of the extent to which the global properties of a metric space (especially, embeddability in l1 with low distortion) are determined by the properties of small subspaces. We note connections to similar issues studied already in Ramsey theory, complexity theory (especially PCPs), and property testing. We prove both upper bounds and lower bounds on the distortion of embedding locally constrained metrics into various target spaces.