Lectures related to Linear Algebra: Matrix Decomposition and Base Change

Explores the diagonalizability of matrices through eigenvectors and eigenvalues, emphasizing their importance and practical implications.

Covers symmetric matrices, eigenvalues, and diagonalization process for spectral theorem applications.

Covers the application of linear algebra concepts to Quantum Mechanics, including spectral theorem and Brillouin zone.