Lower bounds for constant query affine-invariant LCCs and LTCs
Arnab Bhattacharyya, Sivakanth Gopi

TL;DR
This paper establishes tight lower bounds on the size of constant-query affine-invariant locally correctable and testable codes, using higher-order Fourier analysis, applicable to both linear and non-linear codes.
Contribution
It provides the first tight bounds for non-linear affine-invariant codes with constant query complexity, extending previous linear-only results.
Findings
Bound on LCC size: at most exponential in n^{r-1}.
Bound on LTC size: at most exponential in n^{r-2}.
Bounds are tight, matching known constructions.
Abstract
Affine-invariant codes are codes whose coordinates form a vector space over a finite field and which are invariant under affine transformations of the coordinate space. They form a natural, well-studied class of codes; they include popular codes such as Reed-Muller and Reed-Solomon. A particularly appealing feature of affine-invariant codes is that they seem well-suited to admit local correctors and testers. In this work, we give lower bounds on the length of locally correctable and locally testable affine-invariant codes with constant query complexity. We show that if a code is an -query locally correctable code (LCC), where is a finite field and is a finite alphabet, then the number of codewords in is at most . Also, we show that if $\mathcal{C} \subset…
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