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Improved Induced Matchings in Sparse Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5917))

Abstract

An induced matching in graph G is a matching which is an induced subgraph of G. Clearly, among two vertices with the same neighborhood (called twins) at most one is matched in any induced matching, and if one of them is matched then there is another matching of the same size that matches the other vertex. Motivated by this, Kanj, Pelsmajer, Schaefer and Xia [10] studied induced matchings in twinless graphs. They showed that any twinless planar graph contains an induced matching of size at least \(\frac{n}{40}\) and that there are twinless planar graphs that do not contain an induced matching of size greater than \(\frac{n}{27}+O(1)\). We improve both these bounds to \(\frac{n}{28}+O(1)\), which is tight up to an additive constant. This implies that the problem of deciding an whether a planar graph has an induced matching of size k has a kernel of size at most 28k. We also show for the first time that this problem is FPT for graphs of bounded arboricity.

Kanj et al. presented also an algorithm which decides in \(O(2^{159\sqrt{k}}+n)\)-time whether an n-vertex planar graph contains an induced matching of size k. Our results improve the time complexity analysis of their algorithm. However, we show also a more efficient, \(O(2^{25.5\sqrt{k}}+n)\)-time algorithm. Its main ingredient is a new, O *(4l)-time algorithm for finding a maximum induced matching in a graph of branch-width at most l.

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Erman, R., Kowalik, Ł., Krnc, M., Waleń, T. (2009). Improved Induced Matchings in Sparse Graphs. In: Chen, J., Fomin, F.V. (eds) Parameterized and Exact Computation. IWPEC 2009. Lecture Notes in Computer Science, vol 5917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11269-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-11269-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11268-3

  • Online ISBN: 978-3-642-11269-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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