• DocumentCode
    3393992
  • Title

    Reductions, codes, PCPs, and inapproximability

  • Author

    Arora, Sanjeev

  • Author_Institution
    Princeton Univ., NJ, USA
  • fYear
    1995
  • fDate
    23-25 Oct 1995
  • Firstpage
    404
  • Lastpage
    413
  • Abstract
    Many recent results show the hardness of approximating NP-hard functions. We formalize, in a very simple way, what these results involve: a code-like Levin reduction. Assuming a well-known complexity assumption, we show that such reductions cannot prove the NP-hardness of the following problems, where ε is any positive fraction: (i) achieving an approximation ratio n1/2+ε for Clique, (ii) achieving an approximation ratio 1.5+ε for Vertex Cover, and (iii) coloring a 3-colorable graph with O(logn) colors. In fact, we explain why current reductions cannot prove the NP-hardness of coloring 3-colorable graphs with 9 colors. Our formalization of a code-like reduction, together with our justification of why such reductions are natural, also clarifies why current proofs of inapproximability results use error-correcting codes
  • Keywords
    computational complexity; error correction codes; graph theory; 3-colorable graph; NP-hard functions; NP-hardness; PCPs; approximation ratio; code-like Levin reduction; code-like reduction; codes; complexity assumption; error-correcting codes; hardness; inapproximability; positive fraction; Approximation algorithms; Displays; Engineering profession; Error correction codes; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1995. Proceedings., 36th Annual Symposium on
  • Conference_Location
    Milwaukee, WI
  • ISSN
    0272-5428
  • Print_ISBN
    0-8186-7183-1
  • Type

    conf

  • DOI
    10.1109/SFCS.1995.492571
  • Filename
    492571