On the complexity of minimum maximal acyclic matchings

Abstract Low-Acy-Matching asks to find a maximal matching M in a given graph G of minimum cardinality such that the set of M -saturated vertices induces an acyclic subgraph in G . The decision version of Low-Acy-Matching is known to be $${\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>NP</mml:mi> </mml:math> -complete. In this paper, we strengthen this result by proving that the decision version of Low-Acy-Matching remains $${\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>NP</mml:mi> </mml:math> -complete for bipartite graphs with maximum degree 6 and planar perfect elimination bipartite graphs. We also show the hardness difference between Low-Acy-Matching and Max-Acy-Matching . Furthermore, we prove that, even for bipartite graphs, Low-Acy-Matching cannot be approximated within a ratio of $$n^{1-\epsilon }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>n</mml:mi> <mml:mrow> <mml:mn>1</mml:mn> <mml:mo>-</mml:mo> <mml:mi>ϵ</mml:mi> </mml:mrow> </mml:msup> </mml:math> for any $$\epsilon &gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ϵ</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> unless $${\textsf{P}}={\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>P</mml:mi> <mml:mo>=</mml:mo> <mml:mi>NP</mml:mi> </mml:mrow> </mml:math> . Finally, we establish that Low-Acy-Matching exhibits $$\textsf{APX}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>APX</mml:mi> </mml:math> -hardness when restricted to 4-regular graphs.

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Publication Details

Journal
Journal of Combinatorial Optimization
Published
2024-08-01
DOI
https://doi.org/10.1007/s10878-024-01200-3
Citations
4
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
1.45

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article

On the complexity of minimum maximal acyclic matchings

Juhi Chaudhary, B. S. Panda, Sounaka Mishra
4 citations
Journal of Combinatorial Optimization
Complexity and Algorithms in Graphs
1.45
article

On the complexity of minimum maximal acyclic matchings

Juhi Chaudhary, B. S. Panda, Sounaka Mishra
article en
4 citations

Abstract

Abstract Low-Acy-Matching asks to find a maximal matching M in a given graph G of minimum cardinality such that the set of M -saturated vertices induces an acyclic subgraph in G . The decision version of Low-Acy-Matching is known to be $${\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>NP</mml:mi> </mml:math> -complete. In this paper, we strengthen this result by proving that the decision version of Low-Acy-Matching remains $${\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>NP</mml:mi> </mml:math> -complete for bipartite graphs with maximum degree 6 and planar perfect elimination bipartite graphs. We also show the hardness difference between Low-Acy-Matching and Max-Acy-Matching . Furthermore, we prove that, even for bipartite graphs, Low-Acy-Matching cannot be approximated within a ratio of $$n^{1-\epsilon }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>n</mml:mi> <mml:mrow> <mml:mn>1</mml:mn> <mml:mo>-</mml:mo> <mml:mi>ϵ</mml:mi> </mml:mrow> </mml:msup> </mml:math> for any $$\epsilon &gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ϵ</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> unless $${\textsf{P}}={\textsf{NP}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>P</mml:mi> <mml:mo>=</mml:mo> <mml:mi>NP</mml:mi> </mml:mrow> </mml:math> . Finally, we establish that Low-Acy-Matching exhibits $$\textsf{APX}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>APX</mml:mi> </mml:math> -hardness when restricted to 4-regular graphs.

Journal of Combinatorial OptimizationVol. 48(1)
Tata Institute of Fundamental Research (IN), Indian Institute of Technology Madras (IN), Indian Institute of Technology Delhi (IN)
Tata Institute of Fundamental Research
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Complexity and Algorithms in Graphs
1.45
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On the complexity of minimum maximal acyclic matchings — Juhi Chaudhary, B. S. Panda, et al. · Journal of Combinatorial Optimization (2024) | TGRS Research Map | TGRS