Wee LCP

  • Authors:
  • Johannes Fischer

  • Affiliations:
  • Karlsruhe Institute of Technology, 76128 Karlsruhe, Germany

  • Venue:
  • Information Processing Letters
  • Year:
  • 2010

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Abstract

We prove that longest common prefix (LCP) information can be stored in much less space than previously known. More precisely, we show that in the presence of the text and the suffix array, o(n) additional bits are sufficient to answer LCP-queries asymptotically in the same time that is needed to retrieve an entry from the suffix array. This yields the smallest compressed suffix tree with sub-logarithmic navigation time.