32 research outputs found
Offensive alliances in cubic graphs
An offensive alliance in a graph is a set of vertices
where for every vertex in its boundary it holds that the
majority of vertices in 's closed neighborhood are in . In the case of
strong offensive alliance, strict majority is required. An alliance is
called global if it affects every vertex in , that is, is a
dominating set of . The global offensive alliance number
(respectively, global strong offensive alliance number
) is the minimum cardinality of a global offensive
(respectively, global strong offensive) alliance in . If has
global independent offensive alliances, then the \emph{global independent
offensive alliance number} is the minimum cardinality among
all independent global offensive alliances of . In this paper we study
mathematical properties of the global (strong) alliance number of cubic graphs.
For instance, we show that for all connected cubic graph of order ,
where
denotes the line graph of . All the above bounds are tight
Global defensive k-alliances in graphs
Let be a simple graph. For a nonempty set , and
a vertex , denotes the number of neighbors has in
. A nonempty set is a \emph{defensive -alliance} in
if A
defensive -alliance is called \emph{global} if it forms a dominating
set. The \emph{global defensive -alliance number} of , denoted by
, is the minimum cardinality of a defensive
-alliance in . We study the mathematical properties of
On defensive alliances and line graphs
Let be a simple graph of size and degree sequence . Let denotes the line graph of
. The aim of this paper is to study mathematical properties of the
alliance number, , and the global alliance number,
, of the line graph of a simple graph. We show
that In particular, if is a -regular
graph (), then , and if is a
-semiregular bipartite graph, then . As a consequence of
the study we compare and , and we
characterize the graphs having . Moreover, we show that
the global-connected alliance number of is bounded by
where
denotes the diameter of , and we show that the global
alliance number of is bounded by . The case of
strong alliances is studied by analogy
On the Randi\'{c} index and conditional parameters of a graph
The aim of this paper is to study some parameters of simple graphs related
with the degree of the vertices. So, our main tool is the matrix
whose ()-entry is where denotes the degree of the vertex . We study
the Randi\'{c} index and some interesting particular cases of conditional
excess, conditional Wiener index, and conditional diameter. In particular,
using the matrix or its eigenvalues, we obtain tight bounds on the
studied parameters.Comment: arXiv admin note: text overlap with arXiv:math/060243
Alliance free and alliance cover sets
A \emph{defensive} (\emph{offensive}) -\emph{alliance} in
is a set such that every in (in the boundary of ) has
at least more neighbors in than it has in . A set
is \emph{defensive} (\emph{offensive}) -\emph{alliance free,}
if for all defensive (offensive) -alliance , ,
i.e., does not contain any defensive (offensive) -alliance as a subset.
A set is a \emph{defensive} (\emph{offensive})
-\emph{alliance cover}, if for all defensive (offensive) -alliance ,
, i.e., contains at least one vertex from each
defensive (offensive) -alliance of . In this paper we show several
mathematical properties of defensive (offensive) -alliance free sets and
defensive (offensive) -alliance cover sets, including tight bounds on the
cardinality of defensive (offensive) -alliance free (cover) sets
Topological and spectral properties of random digraphs
We investigate some topological and spectral properties of
Erd\H{o}s-R\'{e}nyi (ER) random digraphs . In terms of topological
properties, our primary focus lies in analyzing the number of non-isolated
vertices as well as two vertex-degree-based topological indices: the
Randi\'c index and sum-connectivity index . First, by
performing a scaling analysis we show that the average degree serves as scaling parameter for the average values of ,
and . Then, we also state expressions relating the number of arcs,
spectral radius, and closed walks of length 2 to , the parameters of ER
random digraphs. Concerning spectral properties, we compute six different graph
energies on . We start by validating as the scaling
parameter of the graph energies. Additionally, we reformulate a set of bounds
previously reported in the literature for these energies as a function .
Finally, we phenomenologically state relations between energies that allow us
to extend previously known bounds