Lectures related to Spectral Decomposition

Explores subspaces, spectra, and projections in linear algebra, including symmetric matrices and orthogonal projections.

Explores the diagonalization of symmetric matrices and the orthogonality of eigenvectors.

Discusses properties of symmetric matrices and the Spectral Theorem.

Explores the fundamentals of Singular Value Decomposition, including orthonormal bases and practical applications.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.