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Electronic Journal of Combinatorics
Article . 2011 . Peer-reviewed
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Article . 2011
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Maximum Multiplicity of Matching Polynomial Roots and Minimum Path Cover in General Graphs

Maximum multiplicity of matching polynomial roots and minimum path cover in general graphs
Authors: Ku, C.Y.; Wong, K.B.;

Maximum Multiplicity of Matching Polynomial Roots and Minimum Path Cover in General Graphs

Abstract

Let $G$ be a graph. It is well known that the maximum multiplicity of a root of the matching polynomial $\mu(G,x)$ is at most the minimum number of vertex disjoint paths needed to cover the vertex set of $G$. Recently, a necessary and sufficient condition for which this bound is tight was found for trees. In this paper, a similar structural characterization is proved for any graph. To accomplish this, we extend the notion of a $(\theta,G)$-extremal path cover (where $\theta$ is a root of $\mu(G,x)$) which was first introduced for trees to general graphs. Our proof makes use of the analogue of the Gallai-Edmonds Structure Theorem for general root. By way of contrast, we also show that the difference between the minimum size of a path cover and the maximum multiplicity of matching polynomial roots can be arbitrarily large.

Country
Singapore
Keywords

Graph polynomials, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Gallai-Edmonds Structure Theorem for general root, \((\theta , G)\)-extremal path cover, 004, 510

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold