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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2011/2012

Mathematics 4C

The course is not on the list Without time-table
Code Completion Credits Range Language
X01M4C Z,ZK 4 2+2s Czech
Prerequisite:
Mathematics 2 (X01MA2)
Grading of the course requires grading of the following courses:
Introduction to Algebra (X01ALG)
Mathematics 1 (X01MA1)
Lecturer:
Miroslav Dont
Tutor:
Miroslav Dont
Supervisor:
Department of Mathematics
Synopsis:

The course covers a necessary background from linear algebra and complex functions required for the study of cybernetics. In the first part linear maps in vector spaces and their description in terms of matrices are studied, then eigenvalues and eigenvectors, similar matrices, diagonalizability and Jordan canonical form of a matrix, including applications to systems of linear differential equations and matrix functions. The second part contains introduction to complex functions, holomorphic functions, Cauchy integral formula, Laurent series and residue theorem.

Requirements:

The requirement for receiving the credit is an active participation in the tutorials.

Syllabus of lectures:

1. Linear mappings and their properties.

2. Matrix of a linear mapping.

3. Eigenvalues and eigenvectors.

4. Similar matrices, diagonalizability.

5. Generalized eigenvectors.

6. Jordan canonical form of a matrix.

7. Applications.

8. Complex functions.

9. Holomorphic functions.

10. Complex integral.

11. Cauchy integral formula.

12. Laurent series.

13. Classification of singular points.

14. Residue theorem.

Syllabus of tutorials:

1. Linear mappings and their properties.

2. Matrix of a linear mapping.

3. Eigenvalues and eigenvectors.

4. Similar matrices, diagonalizability.

5. Generalized eigenvectors.

6. Jordan canonical form of a matrix.

7. Applications.

8. Complex functions.

9. Holomorphic functions.

10. Complex integral.

11. Cauchy integral formula.

12. Laurent series.

13. Classification of singular points.

14. Residue theorem.

Study Objective:
Study materials:

1. C. D. Meyer: Matrix Analysis and Applied Linear Algebra. SIAM, 2000.

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Generated on 2012-7-9
For updated information see http://bilakniha.cvut.cz/en/predmet11616204.html