Title :
Reductions, codes, PCPs, and inapproximability
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;