Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- Conventions/Notations
- Part I Preliminaries
- Part II Erdős–Rényi–Gilbert Model
- 3 Uniform and Binomial Random Graphs
- 4 Evolution
- 5 Vertex Degrees
- 6 Connectivity
- 7 Small Subgraphs
- 8 Large Subgraphs
- 9 Extreme Characteristics
- Part III Modeling Complex Networks
- References
- Author Index
- Subject Index
8 - Large Subgraphs
from Part II - Erdős–Rényi–Gilbert Model
Published online by Cambridge University Press: 02 March 2023
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- Conventions/Notations
- Part I Preliminaries
- Part II Erdős–Rényi–Gilbert Model
- 3 Uniform and Binomial Random Graphs
- 4 Evolution
- 5 Vertex Degrees
- 6 Connectivity
- 7 Small Subgraphs
- 8 Large Subgraphs
- 9 Extreme Characteristics
- Part III Modeling Complex Networks
- References
- Author Index
- Subject Index
Summary
The previous chapter dealt with the existence of small subgraphs of a fixed size. In this chapter, we concern ourselves with the existence of large subgraphs, most notably perfect matchings and Hamilton cycles. Having dealt with perfect matchings, we turn our attention to long paths in sparse random graphs, i.e., in those where we expect a linear number of edges. We next study one of the most celebrated and difficult problems of random graphs: the existence of a Hamilton cycle in a random graph. In the last section of this chapter, we consider the general problem of the existence of arbitrary spanning subgraphs in a random graph
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- Information
- Random Graphs and Networks: A First Course , pp. 93 - 110Publisher: Cambridge University PressPrint publication year: 2023