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Electronic Journal of Combinatorics
Article . 1995 . Peer-reviewed
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zbMATH Open
Article . 1995
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DBLP
Article . 1995
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Algebraic Matching Theory

Algebraic matching theory
Authors: Chris D. Godsil;

Algebraic Matching Theory

Abstract

The number of vertices missed by a maximum matching in a graph $G$ is the multiplicity of zero as a root of the matchings polynomial $\mu(G,x)$ of $G$, and hence many results in matching theory can be expressed in terms of this multiplicity. Thus, if $\mathrm{mult}(\theta,G)$ denotes the multiplicity of $\theta$ as a zero of $\mu(G,x)$, then Gallai's lemma is equivalent to the assertion that if $\mathrm{mult}(\theta,G\setminus u) < \mathrm{mult}(\theta,G)$ for each vertex $u$ of $G$, then $\mathrm{mult}(\theta,G)=1$. This paper extends a number of results in matching theory to results concerning $\mathrm{mult}(\theta,G)$, where $\theta$ is not necessarily zero. If $P$ is a path in $G$ then $G\setminus P$ denotes the graph got by deleting the vertices of $P$ from $G$. We prove that $\mathrm{mult}(\theta,G\setminus P)\ge\mathrm{mult}(\theta,G)-1$, and we say $P$ is $\theta$-essential when equality holds. We show that if, all paths in $G$ are $\theta$-essential, then $\mathrm{mult}(\theta,G)=1$. We define $G$ to be $\theta$-critical if all vertices in $G$ are $\theta$-essential and $\mathrm{mult}(\theta,G)=1$. We prove that if $\mathrm{mult}(\theta,G)=k$ then there is an induced subgraph $H$ with exactly $k$ $\theta$-critical components, and the vertices in $G\setminus H$ are covered by $k$ disjoint paths.

Related Organizations
Keywords

\(\theta\)-essential, algebraic matching theory, Transversal (matching) theory, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), matching, induced subgraph, multiplicity, path, Gallai's lemma, \(\theta\)-critical

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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!
14
Average
Top 10%
Average
gold