Deterministic Even-Cycle Detection in Broadcast CONGEST
Abstract
We show that, for every , -freeness can be decided in rounds in the Broadcast CONGEST model, by a deterministic algorithm. This (deterministic) round-complexity is optimal for up to logarithmic factors thanks to the lower bound for -freeness by Drucker et al. [PODC 2014], which holds even for randomized algorithms. Moreover it matches the round-complexity of the best known randomized algorithms by Censor-Hillel et al. [DISC 2020] for , and by Fraigniaud et al. [PODC 2024] for . Our algorithm uses parallel BFS-explorations with deterministic selections of the set of paths that are forwarded at each round, in a way similar to what was done for the detection of odd-length cycles, by Korhonen and Rybicki [OPODIS 2017]. However, the key element in the design and analysis of our algorithm is a new combinatorial result bounding the "local density" of graphs without -cycles, which we believe is interesting on its own.
Keywords
Cite
@article{arxiv.2412.11195,
title = {Deterministic Even-Cycle Detection in Broadcast CONGEST},
author = {Pierre Fraigniaud and Maël Luce and Frédéric Magniez and Ioan Todinca},
journal= {arXiv preprint arXiv:2412.11195},
year = {2025}
}
Comments
Minor corrections