On the power of threshold-based algorithms for detecting cycles in the CONGEST model

Abstract

It is known that, for every k≥2, C2k-freeness can be decided by a generic Monte-Carlo algorithm running in n1−1/Θ(k2) rounds in the congest model. For 2≤k≤5, faster Monte-Carlo algorithms do exist, running in O(n1−1/k) rounds, based on upper bounding the number of messages to be forwarded, and aborting search sub-routines for which this number exceeds certain thresholds. We investigate the possible extension of these threshold-based algorithms, for the detection of larger cycles. We first show that, for every k≥6, there exists an infinite family of graphs containing a 2k-cycle for which any threshold-based algorithm fails to detect that cycle. Hence, in particular, neither C12-freeness nor C14-freeness can be decided by threshold-based algorithms. Nevertheless, we show that {C12,C14}-freeness can still be decided by a threshold-based algorithm, running in O(n1−1/7)=O(n0.857…) rounds, which is faster than using the generic algorithm, which would run in O(n1−1/22)≃O(n0.954…) rounds. Moreover, we exhibit an infinite collection of families of cycles such that threshold-based algorithms can decide F-freeness for every F in this collection.