Complexity landscape for local certification
Nicolas Bousquet, Laurent Feuilloley, S\'ebastien Zeitoun

TL;DR
This paper explores the space complexity landscape of local certification in distributed graph algorithms, revealing surprising gaps and properties in paths, cycles, and trees, and introducing new theoretical tools.
Contribution
It uncovers the first known gaps in local certification complexity for paths and cycles, and extends these results to trees, using novel automata and arithmetic techniques.
Findings
Identified a gap between O(1) and Θ(log log n) in paths.
Discovered a property with Θ(log log n) complexity in paths.
Found a gap between O(1) and Θ(log n) in cycles.
Abstract
An impressive recent line of work has charted the complexity landscape of distributed graph algorithms. For many settings, it has been determined which time complexities exist, and which do not (in the sense that no local problem could have an optimal algorithm with that complexity). In this paper, we initiate the study of the landscape for space complexity of distributed graph algorithms. More precisely, we focus on the local certification setting, where a prover assigns certificates to nodes to certify a property, and where the space complexity is measured by the size of the certificates. Already for anonymous paths and cycles, we unveil a surprising landscape: - There is a gap between complexity and in paths. This is the first gap established in local certification. - There exists a property that has complexity in paths, a…
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