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Reductions, Codes, PCPs, and Inapproximability Sanjeev Arora \Lambda
 

Summary: Reductions, Codes, PCPs, and Inapproximability
Sanjeev Arora \Lambda
Princeton University
Abstract
Many recent results show the hardness of approxi­
mating NP­hard functions. We formalize, in a very
simple way, what these results involve: a code­like
Levin reduction.
Assuming a well­known complexity assumption, we
show that such reductions cannot prove the NP­
hardness of the following problems, where ffl is any
positive fraction: (i) achieving an approximation ra­
tio n 1=2+ffl for Clique, (ii) achieving an approximation
ratio 1:5 + ffl for Vertex Cover, and (iii) coloring a 3­
colorable graph with O(logn) colors. In fact, we ex­
plain why current reductions cannot prove the NP­
hardness of coloring 3­colorable graphs with 9 colors.
Our formalization of a code­like reduction, together
with our justification of why such reductions are nat­
ural, also clarifies why current proofs of inapproxima­

  

Source: Arora, Sanjeev - Department of Computer Science, Princeton University

 

Collections: Computer Technologies and Information Sciences