Lower Bounds on Streaming Algorithms for Approximating the Length of the Longest Increasing Subsequence

  • Authors:
  • Anna Gal;Parikshit Gopalan

  • Affiliations:
  • -;-

  • Venue:
  • FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
  • Year:
  • 2007

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Abstract

We show that any deterministic data-stream algorithm that makes a constant number of passes over the input and gives a constant factor approximation of the length of the longest increasing subsequence in a sequence of length n must use space \Omega \left( {\sqrt n } \right). This proves a conjecture made by Gopalan, Jayram, Krauthgamer and Kumar [10] who proved a matching upper bound. Our results yield asymptotically tight lower bounds for all approximation factors, thus resolving the main open problem from their paper. Our proof is based on analyzing a related communication problem and proving a direct sum type property for it.