Spectral Refutations of Semirandom $k$-LIN over Larger Fields
Abstract
We study the problem of strongly refuting semirandom -LIN instances: systems of -sparse inhomogeneous linear equations over a finite field . For the case of , this is the well-studied problem of refuting semirandom instances of -XOR, where the works of [GKM22,HKM23] establish a tight trade-off between runtime and clause density for refutation: for any choice of a parameter , they give an -time algorithm to certify that there is no assignment that can satisfy more than -fraction of constraints in a semirandom -XOR instance, provided that the instance has constraints, and the work of [KMOW17] provides good evidence that this tight up to a factor via lower bounds for the Sum-of-Squares hierarchy. However for larger fields, the only known results for this problem are established via black-box reductions to the case of , resulting in an gap between the current best upper and lower bounds. In this paper, we give an algorithm for refuting semirandom -LIN instances with the "correct" dependence on the field size . For any choice of a parameter , our algorithm runs in -time and strongly refutes semirandom -LIN instances with at least constraints. We give good evidence that this dependence on the field size is optimal by proving a lower bound for the Sum-of-Squares hierarchy that matches this threshold up to a factor. Our results also extend to the more general case of finite Abelian groups.
Keywords
Cite
@article{arxiv.2508.18185,
title = {Spectral Refutations of Semirandom $k$-LIN over Larger Fields},
author = {Nicholas Kocurek and Peter Manohar},
journal= {arXiv preprint arXiv:2508.18185},
year = {2025}
}