English

Improved Lower Bounds for all Odd-Query Locally Decodable Codes

Computational Complexity 2024-11-22 v1 Combinatorics

Abstract

We prove that for every odd q3q\geq 3, any qq-query binary, possibly non-linear locally decodable code (qq-LDC) E:{±1}k{±1}nE:\{\pm1\}^k \rightarrow \{\pm1\}^n must satisfy kO~(n12/q)k \leq \tilde{O}(n^{1-2/q}). For even qq, this bound was established in a sequence of prior works. For q=3q=3, 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 22-LDCs. Their strategy hits an inherent bottleneck for q5q \geq 5. Our key insight is identifying a general sufficient condition on the hypergraph of local decoding sets called tt-approximate strong regularity. This condition demands that 1) the number of hyperedges containing any given subset of vertices of size tt (i.e., its co-degree) be equal to the same but arbitrary value dtd_t up to a multiplicative constant slack, and 2) all other co-degrees be upper-bounded relative to dtd_t. This condition significantly generalizes related proposals in prior works that demand absolute upper bounds on all co-degrees. We give an argument based on spectral bounds on Kikuchi Matrices that lower bounds the blocklength of any LDC whose local decoding sets satisfy tt-approximate strong regularity for any tqt \leq q. Crucially, unlike prior works, our argument works despite having no non-trivial absolute upper bound on the co-degrees of any set of vertices. To apply our argument to arbitrary qq-LDCs, we give a new, greedy, approximate strong regularity decomposition that shows that arbitrary, dense enough hypergraphs can be partitioned (up to a small error) into approximately strongly regular pieces satisfying the required relative bounds on the co-degrees.

Keywords

Cite

@article{arxiv.2411.14361,
  title  = {Improved Lower Bounds for all Odd-Query Locally Decodable Codes},
  author = {Arpon Basu and Jun-Ting Hsieh and Pravesh K. Kothari and Andrew D. Lin},
  journal= {arXiv preprint arXiv:2411.14361},
  year   = {2024}
}
R2 v1 2026-06-28T20:08:07.940Z