3,687 research outputs found
Rainbow Connection Number and Connected Dominating Sets
Rainbow connection number rc(G) of a connected graph G is the minimum number
of colours needed to colour the edges of G, so that every pair of vertices is
connected by at least one path in which no two edges are coloured the same. In
this paper we show that for every connected graph G, with minimum degree at
least 2, the rainbow connection number is upper bounded by {\gamma}_c(G) + 2,
where {\gamma}_c(G) is the connected domination number of G. Bounds of the form
diameter(G) \leq rc(G) \leq diameter(G) + c, 1 \leq c \leq 4, for many special
graph classes follow as easy corollaries from this result. This includes
interval graphs, AT-free graphs, circular arc graphs, threshold graphs, and
chain graphs all with minimum degree at least 2 and connected. We also show
that every bridge-less chordal graph G has rc(G) \leq 3.radius(G). In most of
these cases, we also demonstrate the tightness of the bounds. An extension of
this idea to two-step dominating sets is used to show that for every connected
graph on n vertices with minimum degree {\delta}, the rainbow connection number
is upper bounded by 3n/({\delta} + 1) + 3. This solves an open problem of
Schiermeyer (2009), improving the previously best known bound of 20n/{\delta}
by Krivelevich and Yuster (2010). Moreover, this bound is seen to be tight up
to additive factors by a construction of Caro et al. (2008).Comment: 14 page
Rainbow Connection Number and Radius
The rainbow connection number, rc(G), of a connected graph G is the minimum
number of colours needed to colour its edges, so that every pair of its
vertices is connected by at least one path in which no two edges are coloured
the same. In this note we show that for every bridgeless graph G with radius r,
rc(G) <= r(r + 2). We demonstrate that this bound is the best possible for
rc(G) as a function of r, not just for bridgeless graphs, but also for graphs
of any stronger connectivity. It may be noted that for a general 1-connected
graph G, rc(G) can be arbitrarily larger than its radius (Star graph for
instance). We further show that for every bridgeless graph G with radius r and
chordality (size of a largest induced cycle) k, rc(G) <= rk.
It is known that computing rc(G) is NP-Hard [Chakraborty et al., 2009]. Here,
we present a (r+3)-factor approximation algorithm which runs in O(nm) time and
a (d+3)-factor approximation algorithm which runs in O(dm) time to rainbow
colour any connected graph G on n vertices, with m edges, diameter d and radius
r.Comment: Revised preprint with an extra section on an approximation algorithm.
arXiv admin note: text overlap with arXiv:1101.574
Graphs of Classroom Networks
In this work, we use the Havel-Hakimi algorithm to visualize data collected from students to investigate classroom networks. The Havel-Hakimi algorithm uses a recursive method to create a simple graph from a graphical degree sequence. In this case, the degree sequence is a representation of the students in a classroom, and we use the number of peers with whom a student studied or collaborated to determine the degree of each. We expand upon the Havel-Hakimi algorithm by coding a program in MATLAB that generates random graphs with the same degree sequence. Then, we run another algorithm to find the isomorphism classes within the randomly generated graphs. Once we have reduced the problem to the isomorphism classes, we can then choose a graph we think most accurately describes the classroom network. At the end of this work, we will make a note on the rainbow connection number in oriented graphs with diameter 2
Note on minimally -rainbow connected graphs
An edge-colored graph , where adjacent edges may have the same color, is
{\it rainbow connected} if every two vertices of are connected by a path
whose edge has distinct colors. A graph is {\it -rainbow connected} if
one can use colors to make rainbow connected. For integers and
let denote the minimum size (number of edges) in -rainbow connected
graphs of order . Schiermeyer got some exact values and upper bounds for
. However, he did not get a lower bound of for . In this paper, we improve his lower bound of
, and get a lower bound of for .Comment: 8 page
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