Linear Algebra
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| BE5B01LAL | Z,ZK | 8 | 4P+2S | English |
- Vztahy:
- During a review of study plans, the course B0B01LAGA can be substituted for the course BE5B01LAL.
- Garant předmětu:
- Paola Vivi
- Lecturer:
- Paola Vivi
- Tutor:
- Paola Vivi
- Supervisor:
- Department of Mathematics
- Synopsis:
-
The course covers standard basics of matrix calculus (determinants, inverse matrix) and linear algebra (basis, dimension, inner product spaces, linear transformations) including eigenvalues and eigenvectors. Matrix similarity, orthogonal bases, and bilinear and quadratic forms are also covered.
- Requirements:
- Syllabus of lectures:
-
1. Polynomials. Introduction to systems of linear equations and Gauss elimination method.
2. Linear spaces, linear dependence and independence.
3. Basis, dimension, coordinates of vectors.
4. Matrices: operations, rank, transpose.
5. Determinant and inverse of a matrix.
6. Structure of solutions of systems of linear equations. Frobenius Theorem.
7. Linear mappings. Matrix of a linear mapping.
8. Free vectors. Dot product and cross product.
9. Lines and planes in 3-dimensional real space.
10. Eigenvalues and eigenvectors of matrices and linear mappings.
11. Similarity of matrices, matrices similar to diagonal matrices.
12. Euclidean space, orthogonalization, orthonormal basis. Fourier basis.
13. Introduction to bilinear and quadratic forms.
- Syllabus of tutorials:
-
1. Polynomials. Introduction to systems of linear equations and Gauss elimination method.
2. Linear spaces, linear dependence and independence.
3. Basis, dimension, coordinates of vectors.
4. Matrices: operations, rank, transpose.
5. Determinant and inverse of a matrix.
6. Structure of solutions of systems of linear equations. Frobenius Theorem.
7. Linear mappings. Matrix of a linear mapping.
8. Free vectors. Dot product and cross product.
9. Lines and planes in 3-dimensional real space.
10. Eigenvalues and eigenvectors of matrices and linear mappings.
11. Similarity of matrices, matrices similar to diagonal matrices.
12. Euclidean space, orthogonalization, orthonormal basis. Fourier basis.
13. Introduction to bilinear and quadratic forms.
- Study Objective:
- Study materials:
-
1. P. Pták: Introduction to Linear Algebra. ČVUT, Praha, 2005.
2. P. Pták: Introduction to Linear Algebra. ČVUT, Praha, 1997.
- Note:
- Further information:
- https://math.fel.cvut.cz/en/people/vivipaol/BE5B01LAL.html
- Time-table for winter semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Electrical Engineering and Computer Science (EECS) (compulsory course in the program)
- Electrical Engineering and Computer Science (EECS) (compulsory course in the program)