Diagonalisation of Symmetric Matrices

This lecture covers the diagonalization of symmetric matrices, explaining the concept of diagonalizability, the spectral theorem, and the Singular Value Decomposition (SVD). It also discusses the importance of symmetry in diagonalization and the process of verifying if a matrix is diagonalizable.