A Truly Subcubic Combinatorial Algorithm for Induced 4-Cycle Detection
Amir Abboud, Shyan Akmal, Nick Fischer

TL;DR
This paper introduces the first truly subcubic combinatorial algorithm for detecting induced 4-cycles in graphs, achieving a running time of O(n^{2.84}) and providing a deterministic alternative to algebraic methods.
Contribution
It presents the first truly subcubic combinatorial algorithm for induced 4-cycle detection, separating it from triangle detection complexity and offering a deterministic approach.
Findings
Achieves O(n^{2.84}) running time for induced 4-cycle detection.
Separates induced 4-cycle detection complexity from triangle detection.
Provides the first deterministic algorithm for this problem.
Abstract
We present the first truly subcubic, combinatorial algorithm for detecting an induced -cycle in a graph. The running time is on -node graphs, thus separating the task of detecting induced -cycles from detecting triangles, which requires time combinatorially under the popular BMM hypothesis. Significant work has gone into characterizing the exact time complexity of induced -detection, relative to the complexity of detecting cliques of various sizes. Prior work identified the question of whether induced -cycle detection is triangle-hard as the only remaining case towards completing the lowest level of the classification, dubbing it a "curious" case [Dalirrooyfard, Vassilevska W., FOCS 2022]. Our result can be seen as a negative resolution of this question. Our algorithm deviates from previous techniques in the large body of subgraph detection…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Limits and Structures in Graph Theory
