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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dinur, Irit |
| Abstract | We present a new proof of the PCP theorem that is based on a combinatorial amplification lemma. The unsat value of a set of constraints C = $(c_{1},.,c_{n}),$ denoted UNSAT(C), is the smallest fraction of unsatisfied constraints, ranging over all possible assignments for the underlying variables.We describe a new combinatorial amplification transformation that doubles the unsat-value of a constraint-system, with only a linear blowup in the size of the system. The amplification step causes an increase in alphabet-size that is corrected by a PCP composition step. Iterative application of these two steps yields a proof for the PCP theorem.The amplification lemma relies on a new notion of "graph powering" that can be applied to systems of constraints. This powering amplifies the unsat-value of a constraint system provided that the underlying graph structure is an expander.We also apply the amplification lemma to construct PCPs and locally-testable codes whose length is linear up to a polylog factor, and whose correctness can be probabilistically verified by making a constant number of queries. Namely, we prove SAT ∈ $PCP_{1/2,1}[log_{2}(n$ • poly log n),O(1)]. |
| Starting Page | 241 |
| Ending Page | 250 |
| Page Count | 10 |
| File Format | |
| ISBN | 1595931341 |
| DOI | 10.1145/1132516.1132553 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-05-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Pcp Gap amplification |
| Content Type | Text |
| Resource Type | Article |
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