Lecture

Eigenvalues and Eigenvectors Decomposition

Description

This lecture covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, the normalization of vectors, and the properties of symmetric matrices. It also discusses the significance of real eigenvalues and the construction of an orthonormal basis.

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