Deriving differential approximation results for $k\,$CSPs from combinatorial designs
Abstract
Inapproximability results for have been traditionally established using balanced -wise independent distributions, which are closely related to orthogonal arrays, a famous family of combinatorial designs. In this work, we investigate the role of these combinatorial structures in the context of the differential approximability of , providing new structural insights and approximation bounds. We first establish a direct connection between the average differential ratio on instances and orthogonal arrays. This allows us to derive the new differential approximability bounds of for -partite instances, for Boolean instances, when , and when . We then introduce families of array pairs, called {\em alphabet reduction pairs of arrays}, that are still related to balanced -wise independence. Using these pairs of arrays, we establish a reduction from to (where ), with an expansion factor of on the differential approximation guarantee. Combining this with a 1998 result by Yuri Nesterov, we conclude that is approximable within a differential factor of . Finally, using similar Boolean array pairs, {\em called cover pairs of arrays}, we prove that every Hamming ball of radius provides a -approximation of the instance diameter. Thus, our work highlights the relevance of combinatorial designs for establishing structural differential approximation guarantees for CSPs.
Cite
@article{arxiv.2409.03903,
title = {Deriving differential approximation results for $k\,$CSPs from combinatorial designs},
author = {Jean-François Culus and Sophie Toulouse},
journal= {arXiv preprint arXiv:2409.03903},
year = {2025}
}
Comments
Preliminary versions of this work have been presented or published at the ISCO 2012, ISCO 2018 and IWOCA 2018 conferences