468,866 research outputs found
Problems in extremal graph theory
We consider a variety of problems in extremal graph and set theory.
The {\em chromatic number} of , , is the smallest integer
such that is -colorable.
The {\it square} of , written , is the supergraph of in which also
vertices within distance 2 of each other in are adjacent.
A graph is a {\it minor} of if
can be obtained from a subgraph of by contracting edges.
We show that the upper bound for
conjectured by Wegner (1977) for planar graphs
holds when is a -minor-free graph.
We also show that is equal to the bound
only when contains a complete graph of that order.
One of the central problems of extremal hypergraph theory is
finding the maximum number of edges in a hypergraph
that does not contain a specific forbidden structure.
We consider as a forbidden structure a fixed number of members
that have empty common intersection
as well as small union.
We obtain a sharp upper bound on the size of uniform hypergraphs
that do not contain this structure,
when the number of vertices is sufficiently large.
Our result is strong enough to imply the same sharp upper bound
for several other interesting forbidden structures
such as the so-called strong simplices and clusters.
The {\em -dimensional hypercube}, ,
is the graph whose vertex set is and
whose edge set consists of the vertex pairs
differing in exactly one coordinate.
The generalized Tur\'an problem asks for the maximum number
of edges in a subgraph of a graph that does not contain
a forbidden subgraph .
We consider the Tur\'an problem where is and
is a cycle of length with .
Confirming a conjecture of Erd{\H o}s (1984),
we show that the ratio of the size of such a subgraph of
over the number of edges of is ,
i.e. in the limit this ratio approaches 0
as approaches infinity
Uniqueness and multiplicity of infinite clusters
The Burton--Keane theorem for the almost-sure uniqueness of infinite clusters
is a landmark of stochastic geometry. Let be a translation-invariant
probability measure with the finite-energy property on the edge-set of a
-dimensional lattice. The theorem states that the number of infinite
components satisfies . The proof is an elegant and
minimalist combination of zero--one arguments in the presence of amenability.
The method may be extended (not without difficulty) to other problems including
rigidity and entanglement percolation, as well as to the Gibbs theory of
random-cluster measures, and to the central limit theorem for random walks in
random reflecting labyrinths. It is a key assumption on the underlying graph
that the boundary/volume ratio tends to zero for large boxes, and the picture
for non-amenable graphs is quite different.Comment: Published at http://dx.doi.org/10.1214/074921706000000040 in the IMS
Lecture Notes--Monograph Series
(http://www.imstat.org/publications/lecnotes.htm) by the Institute of
Mathematical Statistics (http://www.imstat.org
High-frequency Estimation of the L\'evy-driven Graph Ornstein-Uhlenbeck process
We consider the Graph Ornstein-Uhlenbeck (GrOU) process observed on a
non-uniform discrete time grid and introduce discretised maximum likelihood
estimators with parameters specific to the whole graph or specific to each
component, or node. Under a high-frequency sampling scheme, we study the
asymptotic behaviour of those estimators as the mesh size of the observation
grid goes to zero. We prove two stable central limit theorems to the same
distribution as in the continuously-observed case under both finite and
infinite jump activity for the L\'evy driving noise. When a graph structure is
not explicitly available, the stable convergence allows to consider
purpose-specific sparse inference procedures, i.e. pruning, on the edges
themselves in parallel to the GrOU inference and preserve its asymptotic
properties. We apply the new estimators to wind capacity factor measurements,
i.e. the ratio between the wind power produced locally compared to its rated
peak power, across fifty locations in Northern Spain and Portugal. We show the
superiority of those estimators compared to the standard least squares
estimator through a simulation study extending known univariate results across
graph configurations, noise types and amplitudes
The eigen-chromatic ratio of classes of graphs : molecular stability, asymptotes and area.
Master of Science in Mathematics, University of KwaZulu-Natal, Westville, 2017.This dissertation involves combining the two concepts of energy and the chromatic number of
classes of graphs into a new ratio, the eigen-chromatic ratio of a graph G. Associated with this
ratio is the importance of its asymptotic convergence in applications, as well as the idea of area
involving the Rieman integral of this ratio, when it is a function of the order n of the graph G
belonging to a class of graphs.
The energy of a graph G, is the sum of the absolute values of the eigenvalues associated with
the adjacency matrix of G, and its importance has found its way into many areas of research
in graph theory. The chromatic number of a graph G, is the least number of colours required
to colour the vertices of the graph, so that no two adjacent vertices receive the same colour.
The importance of ratios in graph theory is evident by the vast amount of research articles:
Expanders, The central ratio of a graph, Eigen-pair ratio of classes of graphs , Independence
and Hall ratios, Tree-cover ratio of graphs, Eigen-energy formation ratio, The eigen-complete
difference ratio, The chromatic-cover ratio and "Graph theory and calculus: ratios of classes of
graphs". We combine the two concepts of energy and chromatic number (which involves the
order n of the graph G) in a ratio, called the eigen-chromatic ratio of a graph. The chromatic
number associated with the molecular graph (the atoms are vertices and edges are bonds between
the atoms) would involve the partitioning of the atoms into the smallest number of sets of like
atoms so that like atoms are not bonded. This ratio would allow for the investigation of the
effect of the energy on the atomic partition, when a large number of atoms are involved. The
complete graph is associated with the value 1
2 when the eigen-chromatic ratio is investigated
when a large number of atoms are involved; this has allowed for the investigation of molecular
stability associated with the idea of hypo/hyper energetic graphs. Attaching the average degree
to the Riemann integral of this ratio (as a function of n) would result in an area analogue for
investigation.
Once the ratio is defned the objective is to find the eigen-chromatic ratio of various well known
classes of graphs such as the complete graph, bipartite graphs, star graphs with rays of length
two, wheels, paths, cycles, dual star graphs, lollipop graphs and caterpillar graphs. Once the
ratio of each class of graph are determined the asymptote and area of this ratio are determined
and conclusions and conjectures inferred
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