• DocumentCode
    3450432
  • Title

    Cuts, trees and l1-embeddings of graphs

  • Author

    Gupta, Anupam ; Newman, Ilan ; Rabinovich, Yuri ; Sinclair, Alistair

  • Author_Institution
    Comput. Sci. Div., California Univ., Berkeley, CA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    399
  • Lastpage
    408
  • Abstract
    Motivated by many recent algorithmic applications, the paper aims to promote a systematic study of the relationship between the topology of a graph and the metric distortion incurred where the graph is embedded into l1 space. The main results are: 1. Explicit constant-distortion embeddings of all series parallel graphs, and all graphs with bounded Euler number. These are thus the first natural families known to have constant distortion (strictly greater than 1). Using the above embeddings, we obtain algorithms to approximate the sparsest cut in such graphs to within a constant factor. 2) A constant-distortion embedding of outerplanar graphs into the restricted class of l1-metrics known as “dominating tree metrics”. We also show a lower bound of Ω(log n) on the distortion for embeddings of series-parallel graphs into (distributions over) dominating tree metrics. This shows, surprisingly, that such metrics approximate distances very poorly even for families of graphs with low tree width, and excludes the possibility of using them to explore the finer structure of l1-embeddability
  • Keywords
    computational complexity; graph theory; probability; algorithmic applications; bounded Euler number; constant distortion; constant factor; constant-distortion embedding; dominating tree metrics; explicit constant-distortion embeddings; graph embeddings; graph topology; l1-embeddability; l1-embeddings; low tree width; metric distortion; natural families; outerplanar graphs; restricted class; series parallel graphs; series-parallel graphs; sparsest cut; tree metrics; Algorithm design and analysis; Application specific integrated circuits; Approximation algorithms; Computer science; Distortion measurement; Extraterrestrial measurements; Hip; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1999. 40th Annual Symposium on
  • Conference_Location
    New York City, NY
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-0409-4
  • Type

    conf

  • DOI
    10.1109/SFFCS.1999.814611
  • Filename
    814611