Parameterized Results on Acyclic Matchings with Implications for Related Problems
Juhi Chaudhary, Meirav Zehavi

TL;DR
This paper proves the computational hardness of approximating acyclic matchings in graphs, showing no fixed-parameter tractable approximation exists under common complexity assumptions, and also discusses kernelization limits for related parameters.
Contribution
It establishes FPT-inapproximability results for Acyclic Matching and related problems, and demonstrates kernelization lower bounds based on graph parameters.
Findings
No FPT-approximation within a constant factor assuming W[1] not in FPT.
FPT-inapproximability extends to Induced and Uniquely Restricted Matchings.
Acyclic Matching lacks polynomial kernels with respect to certain graph parameters unless NP is in coNP/poly.
Abstract
A matching in a graph is an \emph{acyclic matching} if the subgraph of induced by the endpoints of the edges of is a forest. Given a graph and a positive integer , Acyclic Matching asks whether has an acyclic matching of size (i.e., the number of edges) at least . In this paper, we first prove that assuming , there does not exist any -approximation algorithm for Acyclic Matching that approximates it within a constant factor when the parameter is the size of the matching. Our reduction is general in the sense that it also asserts -inapproximability for Induced Matching and Uniquely Restricted Matching as well. We also consider three below-guarantee parameters for Acyclic Matching, viz. , , and , where is the number of vertices in…
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Taxonomy
TopicsAdvanced Graph Theory Research · Markov Chains and Monte Carlo Methods · Complexity and Algorithms in Graphs
