Topic |
Session 1 | Diagonalization of a real symmetric matrix by an orthogonal matrix (review) |
Session 2 | Orthonormal basis of Euclidean space, Schmidt's orthogonalization method, QR decomposition |
Session 3 | Orthogonal complements and projections |
Session 4 | Orthogonal matrices, reflections, and rotations |
Session 5 | Standard Hermitian inner products and unitary matrices on complex vector spaces |
Session 6 | Triangularization by unitary matrices (Schur decomposition) |
Session 7 | Normal form of a normal matrix (Toeplitz theorem) |
Session 8 | Hermitian inner product space (complex metric vector space) |
Session 9 | Hyperplanes and quadratic hypersurfaces in Euclidean space |
Session 10 | Center of a quadratic hypersurface |
Session 11 | Standard form of quadratic hypersurfaces |
Session 12 | Standard form of quadratic hypersurfaces 2 |
Session 13 | Improper eigenvectors and Jordan normal forms |
Session 14 | Supplementary information and summary |
**This content is based on April 1, 2025. For the latest syllabus information and details, please check the