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Electronic Journal of Combinatorics
Article . 2017 . Peer-reviewed
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Connected Even Factors in the Square of Essentially 2-Edge-connected Graph

Connected even factors in the square of essentially 2-edge-connected graph
Authors: Jan Ekstein; Baoyindureng Wu; Liming Xiong;

Connected Even Factors in the Square of Essentially 2-Edge-connected Graph

Abstract

An essentially $k$-edge connected graph $G$ is a connected graph such that deleting less than $k$ edges from $G$ cannot result in two nontrivial components. In this paper we prove that if an essentially 2-edge-connected graph $G$ satisfies that for any pair of leaves at distance 4 in $G$ there exists another leaf of $G$ that has distance 2 to one of them, then the square $G^2$ has a connected even factor with maximum degree at most 4. Moreover we show that, in general, the square of essentially 2-edge-connected graph does not contain a connected even factor with bounded maximum degree.

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Keywords

connected even factors, Connectivity, square of graphs, 05C40, 05C76, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Paths and cycles, essentially 2-edge connected graphs

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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!
0
Average
Average
Average
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