Spectral graph theory is a branch of mathematics that studies the properties of graphs through the eigenvalues and eigenvectors of matrices associated with them, such as the adjacency matrix and the Laplacian matrix. This approach reveals deep insights into the structure and behavior of graphs, connecting algebraic concepts with combinatorial properties, which can be particularly useful in solving extremal problems involving graph configurations and properties.
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