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Robust Reductions

  • Jin-Yi Cai
  • Lane A. Hemaspaandra
  • Gerd Wechsung
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1449)

Abstract

We continue the study of robust reductions initiated by Gavaldà and Balcázar. In particular, a 1991 paper of Gavaldà and Balcázar [6] claimed an optimal separation between the power of robust and nondeterministic strong reductions. Unfortunately, their proof is invalid. We re-establish their theorem.

Generalizing robust reductions, we note that robustly strong reductions are built from two restrictions, robust underproductivity and robust overproductivity, both of which have been separately studied before in other contexts. By systematically analyzing the power of these reductions, we explore the extent to which each restriction weakens the power of reductions. We show that one of these reductions yields a new, strong form of the Karp-Lipton Theorem.

Keywords

Turing Machine Strong Reduction Language Transformation Polynomial Hierarchy Downward Closure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Jin-Yi Cai
    • 1
  • Lane A. Hemaspaandra
    • 2
  • Gerd Wechsung
    • 3
  1. 1.Department of Computer ScienceState University of New York at BuffaloBuffaloUSA
  2. 2.Department of Computer ScienceUniversity of RochesterRochesterUSA
  3. 3.Institut für InformatikFriedrich-Schiller-Universität JenaJenaGermany

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