Online Algorithm for Fractional Matchings with Edge Arrivals in Graphs of Maximum Degree Three
Kanstantsin Pashkovich, Thomas Snow

TL;DR
This paper presents an online algorithm that achieves the optimal competitive ratio for fractional matchings in graphs of maximum degree three, matching the known upper bound and highlighting a gap with integral matchings.
Contribution
It provides the first online algorithm attaining the optimal competitive ratio for fractional matchings in degree three graphs, complementing prior negative results.
Findings
Achieves a competitive ratio of approximately 0.5914 for fractional matchings.
Establishes a lower bound of 0.5807 for integral matchings, showing a gap.
Demonstrates the same optimal ratio in vertex and edge arrival models for degree three graphs.
Abstract
We study online algorithms for maximum cardinality matchings with edge arrivals in graphs of low degree. Buchbinder, Segev, and Tkach showed that no online algorithm for maximum cardinality fractional matchings can achieve a competitive ratio larger than even for graphs of maximum degree three. The negative result of Buchbinder et al. holds even when the graph is bipartite and edges are revealed according to vertex arrivals, i.e. once a vertex arrives, all edges are revealed that include the newly arrived vertex and one of the previously arrived vertices. In this work, we complement the negative result of Buchbinder et al. by providing an online algorithm for maximum cardinality fractional matchings with a competitive ratio at least for graphs of maximum degree three. We also demonstrate that no online algorithm for maximum…
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Taxonomy
TopicsOptimization and Search Problems · Complexity and Algorithms in Graphs · Game Theory and Voting Systems
