3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs
Tom Gur, Dor Minzer, Guy Weissenberg, Kai Zhe Zheng
Abstract
We construct -query relaxed locally decodable codes (RLDCs) with constant alphabet size and length for -bit messages. Combined with the lower bound of of [Alrabiah, Guruswami, Kothari, Manohar, STOC 2023] on the length of locally decodable codes (LDCs) with the same parameters, we obtain a separation between RLDCs and LDCs, resolving an open problem of [Ben-Sasson, Goldreich, Harsha, Sudan and Vadhan, SICOMP 2006]. Our RLDC construction relies on two components. First, we give a new construction of probabilistically checkable proofs of proximity (PCPPs) with queries, quasi-linear size, constant alphabet size, perfect completeness, and small soundness error. This improves upon all previous PCPP constructions, which either had a much higher query complexity or soundness close to . Second, we give a query-preserving transformation from PCPPs to RLDCs. At the heart of our PCPP construction is a -query decodable PCP (dPCP) with matching parameters, and our construction builds on the HDX-based PCP of [Bafna, Minzer, Vyas, Yun, STOC 2025] and on the efficient composition framework of [Moshkovitz, Raz, JACM 2010] and [Dinur, Harsha, SICOMP 2013]. More specifically, we first show how to use the HDX-based construction to get a dPCP with matching parameters but a large alphabet size, and then prove an appropriate composition theorem (and related transformations) to reduce the alphabet size in dPCPs.
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- Relaxed Locally Correctable Codes with Nearly-Linear Block Length and Constant Query ComplexityAlessandro Chiesa, Tom Gur, Igor ShinkarSODA 2020 · 13 citations
- A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP RefutationOmar Alrabiah, Venkatesan Guruswami, Pravesh K. Kothari, Peter ManoharSTOC 2023 · 9 citations
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