A No-Go Theorem for Derandomized Parallel Repetition: Beyond Feige-Kilian
Dana Moshkovitz, Govind Ramnarayan, Henry Yuen

TL;DR
This paper establishes a fundamental limitation on derandomized parallel repetition, showing that certain proof techniques cannot achieve near-linear blow-up, thus explaining why optimal inapproximability results remain elusive.
Contribution
It introduces a no-go theorem demonstrating that existing proof methods cannot simultaneously satisfy two key properties for derandomized parallel repetition.
Findings
Proves a limitation on derandomized parallel repetition methods.
Shows that existing proofs share properties that prevent near-linear blow-up.
Highlights a major barrier to achieving optimal inapproximability results.
Abstract
In this work we show a barrier towards proving a randomness-efficient parallel repetition, a promising avenue for achieving many tight inapproximability results. Feige and Kilian (STOC'95) proved an impossibility result for randomness-efficient parallel repetition for two prover games with small degree, i.e., when each prover has only few possibilities for the question of the other prover. In recent years, there have been indications that randomness-efficient parallel repetition (also called derandomized parallel repetition) might be possible for games with large degree, circumventing the impossibility result of Feige and Kilian. In particular, Dinur and Meir (CCC'11) construct games with large degree whose repetition can be derandomized using a theorem of Impagliazzo, Kabanets and Wigderson (SICOMP'12). However, obtaining derandomized parallel repetition theorems that would yield…
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