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Total Graph Interpretation of the Numbers of the Fibonacci Type
We give a total graph interpretation of the numbers of the Fibonacci type. This graph interpretation relates to an edge colouring by monochromatic paths in graphs. We will show that it works for almost all numbers of the Fibonacci type. Moreover, we give the lower bound and the upper bound for the number of all (A1,2A1)-edge colourings in trees
New Graph Model for Channel Assignment in Ad Hoc Wireless Networks
The channel assignment problem in ad hoc wireless networks is investigated. The problem is to assign channels to hosts in such a way that interference among hosts is eliminated and the total number of channels is minimised. Interference is caused by direct collisions from hosts that can hear each other or indirect collisions from hosts that cannot hear each other, but simultaneously transmit to the same destination. A new class of disk graphs (FDD: interFerence Double Disk graphs) is proposed that include both kinds of interference edges. Channel assignment in wireless networks is a vertex colouring problem in FDD graphs. It is shown that vertex colouring in FDD graphs is NP-complete and the chromatic number of an FDD graph is bounded by its clique number times a constant. A polynomial time approximation algorithm is presented for channel assignment and an upper bound 14 on its performance ratio is obtained. Results from a simulation study reveal that the new graph model can provide a more accurate estimation of the number of channels required for collision avoidance than previous models
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Aspects of graph colouring
The four-colour conjecture of 1852, and the total colouring conjecture of 1965, have sparked off many new concepts and conjectures. In this thesis we investigate many of the outstanding conjectures, establishing various related results, and present many conjectures of our own. We give a brief historical introduction (Chapter 1) and establish some notation, terminology and techniques (Chapter 2). Next, in Chapter 3, we examine the use of latin squares to represent edge and total colourings. In Chapters 4 - 6 we deal with vertex, edge and total colourings respectively. Various ways of measuring different aspects of graphs are presented, in particular, the ‘colouring difference’ between two edge-colourings of a graph (Chapter 5) and the ‘beta parameter’ (defined in Chapter 2 and used in Chapters 3 and 6); this is a measure of how far from a type 1 graph a type 2 graph can be. In Chapter 6 we derive an upper bound for the beta value of any near type 1 graph and give the exact results for all Kn. The number of ways of colouring Kn and Kn,,n are also quantified. Chapter 6 also examines Hilton’s concept of conformability. It is shown that every graph with at least A spines is conformable, and an extension to the concept, which we call G*-conformability, is introduced. We then give new necessary conditions for a cubic graph to be type 1 in relation to G*-conformability. Various methods of manipulating graphs are considered and we present: a method to compatibly triangulate a graph G-e; a method of introducing a fourth colour thus allowing a sequence of Kempe interchanges from any edge 3-colouring of a cubic graph to any other; and a method to re-colour a near type 1 graph within a certain bound on beta. We end this thesis with a brief discussion on possible practical uses for colouring graphs. A list of the main results and conjectures is given at the end of each chapter, but a short list of the principle theorems proven is given below
The Local Chromatic Number
A graph vertex colouring is called k-local if the number of colours used in the closed neighbourhood of each vertex is at most k. The local chromatic number of a graph is the smallest k for which the graph has a proper k-local colouring. So unlike the chromatic number which is the minimum total number of colours required in a proper colouring, the local chromatic number is minimum number of colours that must appear in the closed neighbourhood of some vertex in a proper colouring.
In this thesis we will examine basic properties of the local chromatic number, and techniques used to determine or bound it.
We will examine a theory that was sparked by Lovász's original proof of the Kneser conjecture, using topological tools to give lower bounds on the chromatic number, and see how it is applicable to give lower bounds on the local chromatic number as well.
The local chromatic number lies between the fractional chromatic number and the chromatic number, and thus it is particularly interesting to study when the gap between these two parameters is large. We will examine the local chromatic number for specific classes of graphs, and give a slight generalization of a result by Simonyi and Tardos that gives an upper bound on the local chromatic number for a class of graphs called Schrijver graphs.
Finally we will discuss open conjectures about the chromatic number and investigate versions adapted to the local chromatic number
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