English

Deterministic Even-Cycle Detection in Broadcast CONGEST

Distributed, Parallel, and Cluster Computing 2025-05-02 v3 Data Structures and Algorithms

Abstract

We show that, for every k2k\geq 2, C2kC_{2k}-freeness can be decided in O(n11/k)O(n^{1-1/k}) rounds in the Broadcast CONGEST model, by a deterministic algorithm. This (deterministic) round-complexity is optimal for k=2k=2 up to logarithmic factors thanks to the lower bound for C4C_4-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 k{3,4,5}k\in\{3,4,5\}, and by Fraigniaud et al. [PODC 2024] for k6k\geq 6. 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 2k2k-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

R2 v1 2026-06-28T20:35:50.253Z