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Random Graphs Book

Random Graphs
Random Graphs, A unified, modern treatment of the theory of random graphs-including recent results and techniques
 
 Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a, Random Graphs has a rating of 3.5 stars
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Random Graphs, A unified, modern treatment of the theory of random graphs-including recent results and techniques Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a, Random Graphs
3.5 out of 5 stars based on 2 reviews
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  • Random Graphs
  • Written by author Svante Janson
  • Published by Wiley, John & Sons, Incorporated, February 2000
  • A unified, modern treatment of the theory of random graphs-including recent results and techniques Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a
  • A unified, modern treatment of the theory of random graphs-including recent results and techniquesSince its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively activity a
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Prefacev
1Preliminaries1
1.1Models of random graphs1
1.2Notes on notation and more6
1.3Monotonicity12
1.4Asymptotic equivalence14
1.5Thresholds18
1.6Sharp thresholds20
2Exponentially Small Probabilities25
2.1Independent summands26
2.2Binomial random subsets30
2.3Suen's inequality34
2.4Martingales37
2.5Talagrand's inequality39
2.6The upper tail48
3Small Subgraphs53
3.1The containment problem53
3.2Leading overlaps and the subgraph plot62
3.3Subgraph count at the threshold66
3.4The covering problem68
3.5Disjoint copies75
3.6Variations on the theme77
4Matchings81
4.1Perfect matchings82
4.2G-factors89
4.3Two open problems96
5The Phase Transition103
5.1The evolution of the random graph103
5.2The emergence of the giant component107
5.3The emergence of the giant: A closer look112
5.4The structure of the giant component121
5.5Near the critical period126
5.6Global properties and the symmetry rule128
5.7Dynamic properties134
6Asymptotic Distributions139
6.1The method of moments140
6.2Stein's method: The Poisson case152
6.3Stein's method: The normal case157
6.4Projections and decompositions162
6.5Further methods176
7The Chromatic Number179
7.1The stability number179
7.2The chromatic number: A greedy approach184
7.3The concentration of the chromatic number187
7.4The chromatic number of dense random graphs190
7.5The chromatic number of sparse random graphs192
7.6Vertex partition properties196
8Extremal and Ramsey Properties201
8.1Heuristics and results202
8.2Triangles: The first approach209
8.3The Szemeredi Regularity Lemma212
8.4A partition theorem for random graphs216
8.5Triangles: An approach with perspective222
9Random Regular Graphs233
9.1The configuration model235
9.2Small cycles236
9.3Hamilton cycles239
9.4Proofs247
9.5Contiguity of random regular graphs256
9.6A brief course in contiguity264
10Zero-One Laws271
10.1Preliminaries271
10.2Ehrenfeucht games and zero-one laws273
10.3Filling gaps285
10.4Sums of models292
10.5Separability and the speed of convergence301
References307
Index of Notation327
Index331


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Random Graphs, A unified, modern treatment of the theory of random graphs-including recent results and techniques
 
 Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a, Random Graphs

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Random Graphs, A unified, modern treatment of the theory of random graphs-including recent results and techniques
 
 Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a, Random Graphs

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 Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively a, Random Graphs

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