Lectures related to Symmetric Matrices and Eigenvectors

Covers the concept of diagonalization of matrices through the study of eigenvectors and eigenvalues.

Covers systems of n linear first-order ODEs with constant coupling matrix A and explores properties of solutions and the superposition principle.

Explores diagonalization of symmetric matrices and their eigenvalues, emphasizing orthogonal properties.

Explores the diagonalization of symmetric matrices and the importance of Singular Value Decomposition.

Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.