Determining All Maximum Uniquely Restricted Matching in Bipartite Graphs
Guohun Zhu

TL;DR
This paper extends a digraph mapping approach to efficiently identify bipartite graphs where all maximum matchings are uniquely restricted, solving an open problem with polynomial-time algorithms.
Contribution
It introduces a method to recognize bipartite graphs with all maximum matchings uniquely restricted using acyclic digraph recognition, answering an open question.
Findings
Recognition of such bipartite graphs is polynomial-time solvable.
Mapping to acyclic digraphs is effective for the problem.
Provides a new approach for the forcing set problem in bipartite graphs.
Abstract
The approach mapping from a matching of bipartite graphs to digraphs has been successfully used for forcing set problem, in this paper, it is extended to uniquely restricted matching problem. We show to determine a uniquely restricted matching in a bipartite graph is equivalent to recognition a acyclic digraph. Based on these results, it proves that determine the bipartite graphs with all maximum matching are uniquely restricted is polynomial time. This answers an open question of Levit and Mandrescu(Discrete Applied Mathematics 132(2004) 163-164).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Game Theory and Voting Systems
