Advanced Graph Theory focuses on some of the main notions arising in graph theory with an emphasis from the very start of the book on the possible applications of the theory and the fruitful links existing with linear algebra. The second part of the book covers basic material related to linear recurrence relations with application to counting and the asymptotic estimate of the rate of growth of a sequence satisfying a recurrence relation.
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 236 mm
Breite: 160 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-1-84821-616-7 (9781848216167)
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Schweitzer Klassifikation
Michel RIGO is Full Professor at the University of Liege, Department of Mathematics, in Belgium, where he is also head of the Discrete Mathematics research group. His current research interests include combinatorics on words, formal language theory and number theory.
Autor*in
University of Liege, Belgium
Foreword ix
Introduction xi
Chapter 1. A First Encounter with Graphs 1
1.1. A few definitions 1
1.1.1. Directed graphs 1
1.1.2. Unoriented graphs 9
1.2. Paths and connected components 14
1.2.1. Connected components 16
1.2.2. Stronger notions of connectivity 18
1.3. Eulerian graphs 23
1.4. Defining Hamiltonian graphs 25
1.5. Distance and shortest path 27
1.6. A few applications 30
1.7. Comments 35
1.8. Exercises 37
Chapter 2. A Glimpse at Complexity Theory 43
2.1. Some complexity classes 43
2.2. Polynomial reductions 46
2.3. More hard problems in graph theory 49
Chapter 3. Hamiltonian Graphs 53
3.1. A necessary condition 53
3.2. A theorem of Dirac 55
3.3. A theorem of Ore and the closure of a graph 56
3.4. Chvatal's condition on degrees 59
3.5. Partition of Kn into Hamiltonian circuits 62
3.6. De Bruijn graphs and magic tricks 65
3.7. Exercises 68
Chapter 4. Topological Sort and Graph Traversals 69
4.1. Trees 69
4.2. Acyclic graphs 79
4.3. Exercises 82
Chapter 5. Building New Graphs from Old Ones 85
5.1. Some natural transformations 85
5.2. Products 90
5.3. Quotients 92
5.4. Counting spanning trees 93
5.5. Unraveling 94
5.6. Exercises 96
Chapter 6. Planar Graphs 99
6.1. Formal definitions 99
6.2. Euler's formula 104
6.3. Steinitz' theorem 109
6.4. About the four-color theorem 113
6.5. The five-color theorem 115
6.6. From Kuratowski's theorem to minors 120
6.7. Exercises 123
Chapter 7. Colorings 127
7.1. Homomorphisms of graphs 127
7.2. A digression: isomorphisms and labeled vertices 131
7.3. Link with colorings 134
7.4. Chromatic number and chromatic polynomial 136
7.5. Ramsey numbers 140
7.6. Exercises 147
Chapter 8. Algebraic Graph Theory 151
8.1. Prerequisites 151
8.2. Adjacency matrix 154
8.3. Playing with linear recurrences 160
8.4. Interpretation of the coefficients 168
8.5. A theorem of Hoffman 169
8.6. Counting directed spanning trees 172
8.7. Comments 177
8.8. Exercises 178
Chapter 9. Perron-Frobenius Theory 183
9.1. Primitive graphs and Perron's theorem 183
9.2. Irreducible graphs 188
9.3. Applications 190
9.4. Asymptotic properties 195
9.4.1. Canonical form 196
9.4.2. Graphs with primitive components 197
9.4.3. Structure of connected graphs 206
9.4.4. Period and the Perron-Frobenius theorem 214
9.4.5. Concluding examples 218
9.5. The case of polynomial growth 224
9.6. Exercises 231
Chapter 10. Google's Page Rank 233
10.1. Defining the Google matrix 238
10.2. Harvesting the primitivity of the Google matrix 241
10.3. Computation 246
10.4. Probabilistic interpretation 246
10.5. Dependence on the parameter ? 247
10.6. Comments 248
Bibliography 249
Index 263
