Prof. Meirav Zehavi

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A Parameterized Perspective on Uniquely Restricted Matchings

Juhi Chaudhary, Ignasi Sau, Meirav Zehavi

Given a graph G, a matching is a subset of edges of G that do not share an endpoint. A matching M is uniquely restricted if the subgraph induced by the endpoints of the edges of M has exactly one perfect matching. Given a graph G and a positive integer ℓ, Uniquely Restricted Matching asks whether G has a uniquely restricted matching of size at least ℓ. In this paper, we study the parameterized complexity of Uniquely Restricted Matching under various parameters. Specifically, we show that Uniquely Restricted Matching admits a fixed-parameter tractable (FPT) algorithm on line graphs when parameterized by the solution size. We also establish that the problem is FPT when parameterized by the treewidth of the input graph. Furthermore, we show that Uniquely Restricted Matching does not admit a polynomial kernel with respect to the vertex cover number plus the size of the matching unless NP ⊆ coNP/poly.

Publication language English
Pages 509-516
Journal Procedia Computer Science
Volume 273
Publication status Published - 01.01.2025

Keywords

Kernelization Lower Bounds
Matching
Parameterized Algorithms
Uniquely Restricted Matching

ASJC Scopus subject areas

General Computer Science
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