Improved Lower Bounds for all Odd-Query Locally Decodable Codes
Arpon Basu, Jun-Ting Hsieh, Pravesh K. Kothari, Andrew D. Lin

TL;DR
This paper establishes new lower bounds on the length of odd-query locally decodable codes by introducing a generalized regularity condition on decoding hypergraphs and applying spectral analysis, advancing understanding beyond previous bounds.
Contribution
It introduces the concept of $t$-approximate strong regularity for hypergraphs and develops spectral methods to prove lower bounds for all odd $q$-query LDCs, overcoming prior limitations.
Findings
Lower bounds for all odd $q$-query LDCs established.
Hypergraph regularity condition generalized beyond absolute bounds.
Spectral analysis applied to hypergraph structures to derive bounds.
Abstract
We prove that for every odd , any -query binary, possibly non-linear locally decodable code (-LDC) must satisfy . For even , this bound was established in a sequence of prior works. For , the above bound was achieved in a recent work of Alrabiah, Guruswami, Kothari and Manohar using an argument that crucially exploits known exponential lower bounds for -LDCs. Their strategy hits an inherent bottleneck for . Our key insight is identifying a general sufficient condition on the hypergraph of local decoding sets called -approximate strong regularity. This condition demands that 1) the number of hyperedges containing any given subset of vertices of size (i.e., its co-degree) be equal to the same but arbitrary value up to a multiplicative constant slack, and 2) all other…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Cryptography and Data Security · Quantum Computing Algorithms and Architecture
