Spectral theory | Algebraic graph theory

Spectral graph theory

In mathematics, spectral graph theory is the study of the properties of a graph in relationship to the characteristic polynomial, eigenvalues, and eigenvectors of matrices associated with the graph, such as its adjacency matrix or Laplacian matrix. The adjacency matrix of a simple undirected graph is a real symmetric matrix and is therefore orthogonally diagonalizable; its eigenvalues are real algebraic integers. While the adjacency matrix depends on the vertex labeling, its spectrum is a graph invariant, although not a complete one. Spectral graph theory is also concerned with graph parameters that are defined via multiplicities of eigenvalues of matrices associated to the graph, such as the Colin de Verdière number. (Wikipedia).

Spectral graph theory
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From playlist Research Spotlight

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From playlist Graph Theory

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From playlist Workshop on Quantum Geometry

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The Definition of a Graph (Graph Theory) mathispower4u.com

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From playlist Graph Theory part-1

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Chris Godsil: Problems with continuous quantum walks

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From playlist Mathematics

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Ana Romero: Effective computation of spectral systems and relation with multi-parameter persistence

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From playlist Mathematics

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Xavier Bresson: "Convolutional Neural Networks on Graphs"

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From playlist New Deep Learning Techniques 2018

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From playlist PROBABILISTIC METHODS IN NEGATIVE CURVATURE - 2023

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