7 research outputs found
Proof of the Goldberg-Seymour Conjecture on Edge-Colorings of Multigraphs
Given a multigraph , the {\em edge-coloring problem} (ECP) is to
color the edges of with the minimum number of colors so that no two
adjacent edges have the same color. This problem can be naturally formulated as
an integer program, and its linear programming relaxation is called the {\em
fractional edge-coloring problem} (FECP). In the literature, the optimal value
of ECP (resp. FECP) is called the {\em chromatic index} (resp. {\em fractional
chromatic index}) of , denoted by (resp. ). Let
be the maximum degree of and let where is the set of all edges of with
both ends in . Clearly, is
a lower bound for . As shown by Seymour, . In the 1970s Goldberg and Seymour independently conjectured
that . Over the
past four decades this conjecture, a cornerstone in modern edge-coloring, has
been a subject of extensive research, and has stimulated a significant body of
work. In this paper we present a proof of this conjecture. Our result implies
that, first, there are only two possible values for , so an analogue
to Vizing's theorem on edge-colorings of simple graphs, a fundamental result in
graph theory, holds for multigraphs; second, although it is -hard in
general to determine , we can approximate it within one of its true
value, and find it exactly in polynomial time when ;
third, every multigraph satisfies , so FECP has a
fascinating integer rounding property
A brief history of edge-colorings – with personal reminiscences
In this article we survey some important milestones in the history of edge-colorings of graphs, from the earliest contributions of Peter Guthrie Tait and Dénes König to very recent wor
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On Edge Coloring of Multigraphs
Let and be the maximum degree and chromatic index of a
graph , respectively.
Appearing in different format, Gupta\,(1967), Goldberg\,(1973),
Andersen\,(1977), and Seymour\,(1979) made the following conjecture: Every
multigraph satisfies ,
where is the density of . In this
paper, we present a polynomial-time algorithm for coloring any multigraph with
many colors, confirming the conjecture
algorithmically. Since , this
algorithm gives a proper edge coloring that uses at most one more color than
the optimum. As determining the chromatic index of an arbitrary graph is
-hard, the bound is best possible for
efficient proper edge coloring algorithms on general multigraphs, unless