Relaxed vs. Full Local Decodability with Few Queries: Equivalence and Separations for Linear Codes
Elena Grigorescu, Vinayak M. Kumar, Peter Manohar, Geoffrey Mon

TL;DR
This paper investigates the relationship between relaxed locally decodable codes (RLDCs) and locally decodable codes (LDCs), establishing equivalence at 3 queries for linear codes and demonstrating separations at higher query counts.
Contribution
It proves linear 3-query RLDCs are equivalent to LDCs, and constructs linear 15-query RLDCs that are not LDCs, highlighting the boundaries of their relationship.
Findings
Linear 3-query RLDCs are equivalent to 3-query LDCs.
Existence of linear 15-query RLDCs that are not LDCs.
Soundness error thresholds determine when RLDCs are equivalent to LDCs.
Abstract
A locally decodable code (LDC) is an error-correcting code that allows one to recover any bit of the original message with good probability while only reading a small number of bits from a corrupted codeword. A relaxed locally decodable code (RLDC) is a weaker notion where the decoder is additionally allowed to abort and output a special symbol if it detects an error. For a large constant number of queries , there is a large gap between the blocklength of the best -query LDC and the best -query RLDC. Existing constructions of RLDCs achieve polynomial length , while the best-known -LDCs only achieve subexponential length . On the other hand, for , it is known that RLDCs and LDCs are equivalent. We thus ask the question: what is the smallest such that there exists a -RLDC that is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Data Storage Technologies · Algorithms and Data Compression
