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Electronic Journal of Combinatorics
Article . 2011 . Peer-reviewed
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Article . 2011
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Independence Number and Disjoint Theta Graphs

Independence number and disjoint theta graphs
Authors: Fujita, Shinya; Magnant, Colton;

Independence Number and Disjoint Theta Graphs

Abstract

The goal of this paper is to find vertex disjoint even cycles in graphs. For this purpose, define a $\theta$-graph to be a pair of vertices $u, v$ with three internally disjoint paths joining $u$ to $v$. Given an independence number $\alpha$ and a fixed integer $k$, the results contained in this paper provide sharp bounds on the order $f(k, \alpha)$ of a graph with independence number $\alpha(G) \leq \alpha$ which contains no $k$ disjoint $\theta$-graphs. Since every $\theta$-graph contains an even cycle, these results provide $k$ disjoint even cycles in graphs of order at least $f(k, \alpha) + 1$. We also discuss the relationship between this problem and a generalized ramsey problem involving sets of graphs.

Country
United States
Related Organizations
Keywords

Extremal problems in graph theory, Independence number, Generalized Ramsey theory, Disjoint theta-graphs, Mathematics, Education

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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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