Content |
I. VECTOR SPACE STRUCTURE.
- Concept of vector space and vector subspace.
- Dependence and linear independence.
- Base and dimension of a vector space.
II. LINEAR APPLICATIONS.
- Definition and general properties
- Introduction to matrices
- Determinants and their properties.
III. THE MATRIX CALCULATION.
- Matrix operations (sum, product, inverse).
- Change of base.
- Eigenvalues and eigenvectors: matrix diagonalization.
- Systems of linear equations.
titorials WORK:
- VECTOR SPACE 2 TD.
- LINEAR APPLICATIONS AND DETERMINANTS 2 TD.
- MATRIX CALCULATION 3 TD. |