Derandomized Parallel Repetition via Structured PCPs
Irit Dinur, Or Meir

TL;DR
This paper presents a new construction of two-query PCP verifiers with sub-constant soundness error using a combinatorial approach based on direct product tests, extending derandomized parallel repetition techniques.
Contribution
It introduces a novel combinatorial PCP construction based on direct product tests, providing an alternative to existing manifold vs. point methods for low soundness error.
Findings
Constructed two-query PCPs with sub-constant soundness error
Extended the derandomized direct product test to a parallel repetition theorem
Provided an alternative construction of small alphabet PCPs with low soundness error
Abstract
A PCP is a proof system for NP in which the proof can be checked by a probabilistic verifier. The verifier is only allowed to read a very small portion of the proof, and in return is allowed to err with some bounded probability. The probability that the verifier accepts a false proof is called the soundness error, and is an important parameter of a PCP system that one seeks to minimize. Constructing PCPs with sub-constant soundness error and, at the same time, a minimal number of queries into the proof (namely two) is especially important due to applications for inapproximability. In this work we construct such PCP verifiers, i.e., PCPs that make only two queries and have sub-constant soundness error. Our construction can be viewed as a combinatorial alternative to the "manifold vs. point" construction, which is the only construction in the literature for this parameter range. The…
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