Local certification is a topic originating from distributed computing, where a prover tries to convince the vertices of a graph G that G satisfies some property P. To convince the vertices, the prover gives a small piece of information, called certificate, to each vertex, and the vertices then decide whether the property P is satisfied by just looking at their certificate and the certificates of their neighbors. When studying a property P in the perspective of local certification, the aim is to find the optimal size of the certificates needed to certify P, which can be viewed a measure of the local complexity of P. A certification scheme is considered to be efficient if the size of the certificates is polylogarithmic in the number of vertices. While there have been a number of meta-theorems providing efficient certification schemes for general graph classes, the proofs of the lower bounds on the size of the certificates are usually very problem-dependent. In this work, we introduce a notion of hardness reduction in local certification, and show that we can transfer a lower bound on the certificates for a property P to a lower bound for another property P′, via a (local) hardness reduction from P to P′. We then give a number of applications in which we obtain polynomial lower bounds for many classical properties using such reductions.
@article{arxiv.2502.01551,
title = {Reductions in local certification},
author = {Louis Esperet and Sébastien Zeitoun},
journal= {arXiv preprint arXiv:2502.01551},
year = {2025}
}