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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Hastad, Johan Guruswami, Venkatesan Sudan, Madhu |
| Copyright Year | 2002 |
| Abstract | We introduce the notion of covering complexity of a verifier for probabilistically checkable proofs (PCPs). Such a verifier is given an input, a claimed theorem, and an oracle, representing a purported proof of the theorem. The verifier is also given a random string and decides whether to accept the proof or not, based on the given random string. We define the covering complexity of such a verifier, on a given input, to be the minimum number of proofs needed to "satisfy" the verifier on every random string; i.e., on every random string, at least one of the given proofs must be accepted by the verifier. The covering complexity of PCP verifiers offers a promising route to getting stronger inapproximability results for some minimization problems and, in particular, (hyper)graph coloring problems. We present a PCP verifier for NP statements that queries only four bits and yet has a covering complexity of one for true statements and a superconstant covering complexity for statements not in the language. Moreover, the acceptance predicate of this verifier is a simple not-all-equal check on the four bits it reads. This enables us to prove that, for any constant c, it is NP-hard to color a 2-colorable 4-uniform hypergraph using just c colors and also yields a superconstant inapproximability result under a stronger hardness assumption. |
| Starting Page | 1663 |
| Ending Page | 1686 |
| Page Count | 24 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/S0097539700377165 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 6 |
| Volume Number | 31 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2002-01-01 |
| Access Restriction | Subscribed |
| Subject Keyword | Computational difficulty of problems covering PCP set splitting hypergraph coloring graph coloring PCP hardness of approximations Complexity classes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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