Lectures related to Main diagonal

Explores symmetric matrices, diagonalization, and their real-world applications in data analysis.

Introduces diagonalization by blocks and stable subspaces under linear transformations with examples and proofs.

Introduces eigenspaces in linear algebra through definitions and practical examples of determining eigenspaces for matrices.

Covers the diagonalization of symmetric matrices, the spectral theorem, and the use of spectral decomposition.

Explores the forced oscillator regime in vibratory mechanics, emphasizing clean pulsations and a generalized conservative approach.

Covers the approximation of Champ-Poyon, focusing on effective equations and practical applications.