206 research outputs found
Linear colorings of subcubic graphs
A linear coloring of a graph is a proper coloring of the vertices of the
graph so that each pair of color classes induce a union of disjoint paths. In
this paper, we prove that for every connected graph with maximum degree at most
three and every assignment of lists of size four to the vertices of the graph,
there exists a linear coloring such that the color of each vertex belongs to
the list assigned to that vertex and the neighbors of every degree-two vertex
receive different colors, unless the graph is or . This confirms
a conjecture raised by Esperet, Montassier, and Raspaud. Our proof is
constructive and yields a linear-time algorithm to find such a coloring
An upper bound on the fractional chromatic number of triangle-free subcubic graphs
An -coloring of a graph is a function which maps the vertices
of into -element subsets of some set of size in such a way that
is disjoint from for every two adjacent vertices and in
. The fractional chromatic number is the infimum of over
all pairs of positive integers such that has an -coloring.
Heckman and Thomas conjectured that the fractional chromatic number of every
triangle-free graph of maximum degree at most three is at most 2.8. Hatami
and Zhu proved that . Lu and Peng improved
the bound to . Recently, Ferguson, Kaiser
and Kr\'{a}l' proved that . In this paper,
we prove that
Spotting Trees with Few Leaves
We show two results related to the Hamiltonicity and -Path algorithms in
undirected graphs by Bj\"orklund [FOCS'10], and Bj\"orklund et al., [arXiv'10].
First, we demonstrate that the technique used can be generalized to finding
some -vertex tree with leaves in an -vertex undirected graph in
time. It can be applied as a subroutine to solve the
-Internal Spanning Tree (-IST) problem in
time using polynomial space, improving upon previous algorithms for this
problem. In particular, for the first time we break the natural barrier of
. Second, we show that the iterated random bipartition employed by
the algorithm can be improved whenever the host graph admits a vertex coloring
with few colors; it can be an ordinary proper vertex coloring, a fractional
vertex coloring, or a vector coloring. In effect, we show improved bounds for
-Path and Hamiltonicity in any graph of maximum degree
or with vector chromatic number at most 8
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