Introduction to Spectral Graph Theory

This book offers an introduction to key topics in spectral graph theory. In spectral graph theory, various properties of graphs are studied using methods from linear algebra, particularly through the eigenvalues and eigenvectors of different matrices that describe the graph structure. Various aspects of graph theory find applications within the field of data science.
In this book, the necessary foundations of abstract graph theory and linear algebra are covered in parallel, making it suitable for students in their early semesters. The book has been tested multiple times in one-semester-long lectures and is therefore well-suited as a basis for a course and a collection of exercises for instructors.

Table des matières

Chapter 1. Elementary Theory.- Chapter 2. Graph Properties and Min-Max Principle.- Chapter 3. Partitions and Eigenfunctions.- Chapter 4. Planarity and Colin de Verdiére Invariant.

A propos de l'auteur

Kiyan Naderi is a researcher at Carl von Ossietzky University in Oldenburg, Germany.
Konstantin Pankrashkin is a professor for analysis and its applications at Carl von Ossietzky University in Oldenburg, Germany.

Détails du produit

• Auteurs: Kiyan Naderi, Konstantin Pankrashkin
• Edition: Springer, Berlin
• Langues: Anglais, Allemand
• Format d'édition: Livre de poche
• Sortie: 08.10.2025, retardé
• EAN: 9783032017079
• ISBN: 978-3-0-3201707-9
• Pages: 206
• Illustrations: XII, 206 p. 53 illus., 1 illus. in color.
• Thème: Compact Textbooks in Mathematics
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Autres; Diskrete Mathematik, Discrete Mathematics, Graph Theory, Eigenvalues, Partitions, planar graphs, Adjacency matrix, Eigenfunction, Nodal theorem, Applications of linear algebra, Laplace matrix