
Revised: April 24, 2013
Published: August 4, 2013
Abstract: [Plain Text Version]
Given a satisfiable 3-SAT formula, how hard is it to find an assignment to the variables that has Hamming distance at most n/2 to a satisfying assignment? More generally, consider any polynomial-time verifier for any NP-complete language. A d(n)-Hamming-approximation algorithm for the verifier is one that, given any member x of the language, outputs in polynomial time a string a with Hamming distance at most d(n) to some witness w, where (x,w) is accepted by the verifier. Previous results have shown that, if P ≠ NP, every NP-complete language has a verifier for which there is no (n/2−n2/3+δ)-Hamming-approximation algorithm, for various constants δ≥0.
Our main result is that, if P ≠ NP, then every paddable NP-complete language has a verifier that admits no (n/2+O(√nlogn))-Hamming-approximation algorithm. That is, one can't get even half the bits right. We also consider natural verifiers for various well-known NP-complete problems. They do have n/2-Hamming-approximation algorithms, but, if P ≠ NP, have no (n/2−nϵ)-Hamming-approximation algorithms for any constant ϵ>0.
We show similar results for randomized algorithms.