Linear Algebra

Vztahy:

Předmět BIE-LIN může při kontrole studijních plánů nahradit předmět BIE-LA1.21

Předmět je ekvivalentní s BIK-LIN,BI-LIN .

Garant předmětu:

Antonella Marchesiello

Přednášející:

Antonella Marchesiello

Cvičící:

Antonella Marchesiello

Předmět zajišťuje:

katedra aplikované matematiky

Anotace:

Students understand the theoretical foundation of algebra and mathematical principles of linear models of systems around us, where the dependencies among components are only linear. They know the basic methods for operating with polynomials and linear spaces. They are able to perform matrix operations and solve systems of linear equations. They can apply these mathematical principles to solving problems in 2D or 3D analytic geometry. They understand error-detecting and error-correcting codes.

Požadavky:

High-school mathematics.

Osnova přednášek:

1. Introduction: definition, theorem, proof. Types of proofs.

2. Set operations: Intersection, union, relative complement, Cartesian product. Maps, composite maps, inverse map, bijection, permutation.

3. Polynomials, roots of polynomials, irreducible polynomials. Polynomials in R, C, Q. Greatest common divisor and Euclidean algorithm. Binary operation, its properties. Group, ring, field. Homomorphisms (isomorphisms). Properties of a field. Finite fields.

4. Systems of linear equations. Gaussian elimination method.

5. Linear spaces, linear combination and linear independence.

6. Bases, dimensions, vector coordinates in a base. Coordinate transformations.

7. Matrices, matrix operations.

8. Determinants. Inverse matrices.

9. Linear map, linear map matrix. Rotation, projection onto a straight line (plane), symmetry with respect to a straight line (plane) in $R^2$, $R^3$.

10. Eigenvalues and eigenvectors of a matrix or a linear map.

11. Invariant subspaces. Jordan form.

12. Bilinear and quadratic forms. Scalar product, orthogonality. Orthogonal complement. Euclidean and unitary space. Linear map of Euclidean and unitary spaces. Affine space. Affine transformation. Translation.

13. Self-correcting codes.

Osnova cvičení:

1. Operations with polynomials.

2. Roots of polynomials. Euclidean algorithm. Greatest common divisor.

3. Sets of linear equations. Gaussian elimination method.

4. Linear dependence and independence.

5. Bases, dimensions, vector coordinates in a base. Coordinate transformations.

6. Matrices, matrix operations.

7. Determinants and their calculation. Inverse matrices and their calculation.

8. Linear map, linear map matrix.

9. Eigenvalues and eigenvectors of a matrix.

10. Jordan form.

11. Bilinear and quadratic forms.

12. Scalar product, orthogonality. Affine transformation. Translation.

13. Self-correcting codes.

Cíle studia:

The aim of the module is to build the foundations of mathematical way of thinking and provide students with basic knowlege of linear algebra necessary to solve systems of linear equations or problems in 2D and 3D analytic geometry.

Studijní materiály:

1. Pták, P. ''Introduction to Linear Algebra''. ČVUT, Praha, 2005.

Poznámka:

Information about the course and courseware are available at https://courses.fit.cvut.cz/BIE-LIN/

Další informace:

https://courses.fit.cvut.cz/BIE-LIN/

Pro tento předmět se rozvrh nepřipravuje

Předmět je součástí následujících studijních plánů:

• Bachelor branch Security and Information Technology, in English, 2015-2020 (povinný předmět programu)
• Bachelor branch Web and Software Engineering, spec. Software Engineering, in English, 2015-2020 (povinný předmět programu)
• Bachelor branch Computer Science, in English, 2015-2020 (povinný předmět programu)
• Bachelor branch Computer Science, in English, 2015-2020 original version (povinný předmět programu)