Year: 2024
Type: conference-paper
Abstract: We give improved lower bounds for binary 3-query locally correctable codes (3-LCCs)$C: \{\ 0,1 \}^k \rightarrow \{\ 0,1 \}^n$. Specifically, we prove: 1) If C is a linear design 3-LCC, then$n \geq 2^{(1 - o(1))\sqrt{k} }$. A design 3-LCC has the additional property that the correcting sets for every codeword bit form a perfect matching, and every pair of codeword bits is queried an equal number of times across all matchings. Our bound is tight up to a factor$\sqrt{8}$in the exponent of 2, as the best construction of binary 3-LCCs (obtained by taking Reed--Muller codes on F_4 and applying a natural projection map) is a design 3-LCC with$n \leq 2^{\sqrt{8 k}}$. Up to a factor of 8, this resolves the Hamada conjecture on the maximum F_2-codimension of a 4-design. 2) If C is a smooth, non-linear, adaptive 3-LCC with perfect completeness, then,$n \geq 2^{\Omega(k^{1/5})}$. 3) If C is a smooth, non-linear, adaptive 3-LCC with completeness 1 - \eps, then n \geq \Omega(k^{\frac${1}{2\eps}}). In particular, when$\eps$is a small constant, this implies a lower bound for general non-linear LCCs that beats the prior best$n \geq \Omega(k^3)$lower bound of Alrabiah-Guruswami-Kothari-Manohar by a polynomial factor. Our design LCC lower bound is obtained via a fine-grained analysis of the Kikuchi matrix method applied to a variant of the matrix used in the work of Kothari and Manohar (2023). Our lower bounds for non-linear codes are obtained by designing a from-scratch reduction from nonlinear 3-LCCs to a system of “chain XOR equations” — polynomial equations with a similar structure to the long chain derivations that arise in the lower bounds for linear 3-LCCs of Kothari and Manohar.
Authors: Pravesh K Kothari, Peter Manohar
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4404848605