Mark N. Ellingham
Vanderbilt University
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Featured researches published by Mark N. Ellingham.
Combinatorica | 1996
Mark N. Ellingham; Luis A. Goddyn
AbstractThe List Edge Colouring Conjecture asserts that, given any multigraphG with chromatic indexk and any set system {Se:e∈E(G)} with each |Se|=k, we can choose elementsse∈Sesuch thatse≠sfwhenevere andf are adjacent edges. Using a technique of Alon and Tarsi which involves the graph monomial
Journal of Graph Theory | 2000
Mark N. Ellingham; Xiaoya Zha
SIAM Journal on Discrete Mathematics | 1998
Yair Caro; Mark N. Ellingham; J. E. Ramey
\prod {\left\{ {xu - x_\upsilon :u\upsilon \in E} \right\}}
Journal of Combinatorial Theory | 2000
Mark N. Ellingham; Xiaoya Zha
Journal of Combinatorial Theory | 1995
R. Brunet; Mark N. Ellingham; Z.C. Gao; A. Metzlar; R.B. Richter
of an oriented graph, we verify this conjecture for certain families of 1-factorable multigraphs, including 1-factorable planar graphs.
Journal of Graph Theory | 1997
Robert E. L. Aldred; Mark N. Ellingham; Robert L. Hemminger; Peter Jipsen
A graph is t-tough if the number of components of G\S is at most |S|-t for every cutset S ⊆ V (G). A k-walk in a graph is a spanning closed walk using each vertex at most k times. When k = 1, a 1-walk is a Hamilton cycle, and a longstanding conjecture by Chvatal is that every sufficiently tough graph has a 1-walk. When k ≥ 3, Jackson and Wormald used a result of Win to show that every sufficiently tough graph has a k-walk. We fill in the gap between k = 1 and k ≥ 3 by showing that, when k = 2, every sufficiently tough (specifically, 4-tough) graph has a 2-walk. To do this we first provide a new proof for and generalize a result by Win on the existence of a k-tree, a spanning tree with every vertex of degree at most k. We also provide new examples of tough graphs with no k-walk for k ≥ 2.
Journal of Combinatorial Theory | 1983
Mark N. Ellingham; Joseph Douglas Horton
In many combinatorial situations there is a notion of independence of a set of points. Maximal independent sets can be easily constructed by a greedy algorithm, and it is of interest to determine, for example, if they all have the same size or the same parity. Both of these questions may be formulated by weighting the points with elements of an abelian group, and asking whether all maximal independent sets have equal weight. If a set is independent precisely when its elements are pairwise independent, a graph can be used as a model. The question then becomes whether a graph, with its vertices weighted by elements of an abelian group, is well-covered, i.e., has all maximal independent sets of vertices with equal weight. This problem is known to be co-NP-complete in general. We show that whether a graph is well-covered or not depends on its local structure. Based on this, we develop an algorithm to recognize well-covered graphs. For graphs with n vertices and maximum degree
Combinatorica | 1984
Mark N. Ellingham; Derek A. Holton; Charles H. C. Little
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Journal of Combinatorial Theory | 2006
Mark N. Ellingham; Chris Stephens; Xiaoya Zha
, it runs in linear time if
Journal of Graph Theory | 1987
Wendy Myrvold; Mark N. Ellingham; Dean G. Hoffman
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