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E-grāmata: Random Graphs, Geometry and Asymptotic Structure

(University of Oxford), Edited by (University of Birmingham), (Universität Munchen), (University of Bath), (Tel-Aviv University), Edited by (University of Birmingham)
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The theory of random graphs is a vital part of the education of any researcher entering the fascinating world of combinatorics. However, due to their diverse nature, the geometric and structural aspects of the theory often remain an obscure part of the formative study of young combinatorialists and probabilists. Moreover, the theory itself, even in its most basic forms, is often considered too advanced to be part of undergraduate curricula, and those who are interested usually learn it mostly through self-study, covering a lot of its fundamentals but little of the more recent developments. This book provides a self-contained and concise introduction to recent developments and techniques for classical problems in the theory of random graphs. Moreover, it covers geometric and topological aspects of the theory and introduces the reader to the diversity and depth of the methods that have been devised in this context.

A self-contained and concise introduction to recent developments, particularly those of a geometric and topological nature, in the theory of random graphs. Such material is seldom covered in the formative study of young combinatorialists and probabilists, making this essential reading for beginning researchers in these fields.

Recenzijas

'The chapter on geometric graphs has plenty of exercises the book will help many novices make their first steps in the field of random graphs.' Miklós Bóna, MAA Reviews (www.maa.org)

Papildus informācija

A concise introduction, aimed at young researchers, to recent developments of a geometric and topological nature in random graphs.
Editors' introduction 1(3)
1 Long paths and Hamiltonicity in random graphs
4(24)
Michael Krivelevich
1 Introduction
4(1)
2 Tools
5(8)
2.1 Preliminaries
5(2)
2.2 Depth First Search and its applications for finding long paths
7(3)
2.3 Posa's Lemma and boosters
10(3)
3 Long paths in random graphs
13(4)
3.1 Linearly long paths in the supercritical regime
13(3)
3.2 Nearly spanning paths
16(1)
4 The appearance of Hamilton cycles in random graphs
17(11)
References
27(1)
2 Random graphs from restricted classes
28(39)
Konstantinos Panagiotou
1 Introduction
28(4)
1.1 Preliminaries
30(2)
2 Random trees
32(13)
2.1 Random trees via a sampling algorithm
33(3)
2.2 Coarse estimates
36(3)
2.3 Fine estimates
39(6)
3 Random graphs from block-stable classes
45(22)
3.1 Combinatorial constructions and Boltzmann samplers
47(4)
3.2 Sampling from block-stable graph classes
51(2)
3.3 Asymptotic analysis
53(1)
3.4 The distribution of blocks
54(3)
3.5 Simple vs complex graph classes
57(4)
3.6 Degree distribution for simple classes
61(3)
3.7 Further directions
64(1)
References
65(2)
3 Lectures on random geometric graphs
67(35)
Mathew Penrose
1 Introduction
67(2)
2 Edge counts
69(4)
3 Edge counts: normal approximation
73(5)
4 The maximum degree
78(6)
5 A sufficient condition for connectivity
84(7)
6 Connectivity and Hamiltonicity
91(3)
7 Solutions to exercises
94(8)
References
101(1)
4 On random graphs from a minor-closed class
102(19)
Colin McDiarmid
1 Introduction
102(1)
2 Properties of graph classes
103(2)
2.1 Minor-closed classes
103(1)
2.2 Decomposable, bridge-addable and addable graph classes
104(1)
3 Bridge-addability, being connected and the fragment
105(2)
3.1 Bridge-addability and being connected
105(1)
3.2 Bridge-addability and the fragment
106(1)
4 Growth constants
107(4)
4.1 When is there a growth constant?
108(1)
4.2 Pendant Appearances Theorem
109(1)
4.3 Some applications of the Pendant Appearances Theorem
110(1)
5 Unlabeled graphs
111(2)
6 Smoothness
113(5)
6.1 Smoothness for surface and addable minor-closed classes
114(1)
6.2 Boltzmann Poisson random graph
114(2)
6.3 The fragment for surface and addable minor-closed classes
116(1)
6.4 Smoothness and unlabeled graphs
117(1)
7 Concluding remarks
118(3)
References
118(3)
Index 121
Professor Michael Krivelevich is a renowned expert on the theory of random graphs. He has written over 170 research papers, more than 100 of them in the last ten years. Most of his publications are on random graphs and related fields, such as extremal combinatorics, positional games theory and theoretical computer science. Professor Konstantinos Panagiotou received the Richard Rado Prize in 2010. He is an expert on the relatively new theory of Boltzmann samplers and its relations to the study of random planar graphs as well as random graphs with constraints. Professor Mathew Penrose is a leading expert on the theory of random geometric graphs. His research interests cover a variety of topics in modern probability theory, often motivated by questions from the physical sciences. These include interacting particle systems, percolation, stochastic analysis and extreme value theory. Professor Colin McDiarmid is a leading expert on probabilistic combinatorics and discrete probability theory, with several participations in editorial boards of leading combinatorics journals. He has published over 80 papers on these areas. He is one of the pioneers of the theory of random planar graphs and random graphs with constraints.