Topic |
Session 1 | Review of linear algebra I: Solving simultaneous linear equations |
Session 2 | Review of linear algebra I: First-order independence and first-order subordination |
Session 3 | Vector space |
Session 4 | Basis and dimension |
Session 5 | Linear map |
Session 6 | Diagonalization of matrix |
Session 7 | Properties and diagonalization of eigenvalues and eigenvectors |
Session 8 | Application of diagonalization |
Session 9 | Spectral decomposition |
Session 10 | Inner product |
Session 11 | Orthonormal basis |
Session 12 | Linear combination and cross product with orthonormal basis |
Session 13 | Diagonalization of symmetric matrix by orthogonal matrix |
Session 14 | Quadratic form |
**This content is based on April 1, 2024. For the latest syllabus information and details, please check the