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Chinese Science Bulletin
Article . 1997 . Peer-reviewed
License: Springer TDM
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Tree-decompositions of graphs (I)

Tree-decompositions of graphs. I
Authors: Shi, Minyong;

Tree-decompositions of graphs (I)

Abstract

The author proves the following two theorems: Theorem 1. Let \(G\) be a connected graph with order \(n\geq 3\) and size \(2n-4\) and \(u\) and \(v\) be two given vertices of \(G\) with \(uv\in E(G)\). Then \(G\) has an \(\{n,n-2\}\)-tree-decomposition with \(u\) and \(v\) as the two singular vertices if and only if the number of edges \(\varepsilon(H)\leq 2(|H|-1)-|H\cap\{u,v\}|\) for any induced subgraph \(H\) of \(G\) with order at least 3. Theorem 2. Let \(G\) be a connected graph with order \(n\geq 3\) and size \(2n-4\) and \(u\) and \(v\) be two given vertices of \(G\). Then \(G\) has an \(\{n-1,n-1\}\)-tree-decomposition with \(u\) and \(v\) as the two singular vertices if and only if \(uv\notin E(G)\) and the number of edges \(\varepsilon(H)\leq 2(|H|- 1)-|H\cap\{u,v\}|\) for any induced subgraph \(H\) of \(G\) with order at least 3.

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Keywords

Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), tree-decomposition, connected graph, Trees

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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!
2
Average
Average
Average
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