FSI-3MAcad. year: 2017/2018
The course provides an introduction to the theory of infinite series and the theory of ordinary and partial differential equations. These branches form the theoretical background in the study of many physical and engineering problems. The course deals with the following topics:
Number series. Function series. Power series. Taylor series. Fourier series.
Ordinary differential equations. First order differential equations. Higher order linear differential equations. Systems of first order linear differential equations.
Partial differential equations. Classification.
Learning outcomes of the course unit
Students will acquire knowledge of basic types of differential equations. They will be made familiar with differential equations as mathematical models of given problems, with problems of the existence and uniqueness of the solution and with the choice of a suitable solving method. They will master solving of problems of the convergence of infinite series as well as expansions of functions into Taylor and Fourier series.
Linear algebra, differential and integral calculus of functions in a single and more variables.
Recommended optional programme components
Recommended or required reading
Kurzweil, J.: Obyčejné diferenciální rovnice, Praha, SNTL, 1978.
Čermák, J., Ženíšek, A.: Matematika III, Brno, 2001.
Fichtengolc, G.M.: Kurs differencialnogo i integralnogo isčislenija, tom III, Moskva, 1966.
Logan, J.D.: A First Course in Differential Equations. New York, Springer, 2006.
Čermák, J.: Sbírka příkladů z Matematické analýzy III a IV, Brno, 1998.
Hartman, P.: Ordinary Differential Equations, New York, 1964.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes
Course-unit credit is awarded on the following conditions: Active participation in seminars. Fulfilment of all conditions of the running control of knowledge. At least half of all possible 20 points in both check tests (the first test takes place in 8th week of the semester, the second one in 13th week of the semester). If a student does not fulfil this condition, the teacher can set an alternative one.
Examination: The examination tests the knowledge of definitions and theorems (especially the ability of their application to the given problems) and practical skills in solving of examples. The exam is written (possibly followed by an oral part). The written exam consists of the test part (8 examples) and the practical part (4 examples).
Topics of the test part: Number and function series, Fourier series, ODEs and their properties, solving of ODEs via the infinite series and the Laplace tranform method, simple physical task, basics of PDEs theory.
Topics of practical part: The expansion of a function into Taylor series, solving of first order ODEs, solving of higher order linear ODEs, solving of system of first order linear ODEs.
The final grade reflects the result of the written part of the exam (maximum 75 points), the results achieved in seminars (maximum 20 points) and the results achieved in seminars in computer labs (maximum 5 points).
Grading scheme is as follows: excellent (90-100 points), very good
(80-89 points), good (70-79 points), satisfactory (60-69 points), sufficient (50-59 points), failed (0-49 points).
Language of instruction
The aim of the course is to explain basic notions and methods of solving ordinary and partial differential equations, and foundations of infinite series theory. The task of the course is to show that knowledge of the theory of differential equations can be utilized especially in physics and technical branches. Moreover, it is shown that foundations of infinite series theory are important tools for solving various problems.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is recommended, attendance at seminars is obligatory and checked. Lessons are planned according to the week schedules. Absence from seminars may be compensated for by the agreement with the teacher.
Classification of course in study plans
- Programme B3A-P Bachelor's
- Programme B3S-P Bachelor's
- Programme M2I-P Master's
branch M-AIŘ , 1. year of study, winter semester, 6 credits, compulsory
branch M-ADI , 1. year of study, winter semester, 7 credits, compulsory
branch M-TEP , 1. year of study, winter semester, 8 credits, compulsory
branch M-FLI , 1. year of study, winter semester, 7 credits, compulsory
branch M-SLE , 1. year of study, winter semester, 6 credits, compulsory
branch M-STG , 1. year of study, winter semester, 7 credits, compulsory
branch M-STM , 1. year of study, winter semester, 7 credits, compulsory
branch M-ENI , 1. year of study, winter semester, 8 credits, compulsory
branch M-PRI , 1. year of study, winter semester, 5 credits, compulsory
branch M-VSR , 1. year of study, winter semester, 6 credits, compulsory
Type of course unit
39 hours, optionally
Teacher / Lecturer
1. Number series. Convergence criteria. Absolute and non-absolute convergence.
2. Function and power series. Types of the convergence and basic properties.
3. Taylor series and expansions of functions into Taylor series.
4. Fourier series. Problems of the convergence and expansions of functions.
5. ODE. Basic notions. Analytical methods of solving of 1st order ODE. The existence and uniqueness of solutions.
6. Higher order ODEs. Properties of solutions and methods of solving of higher order homogeneous linear ODEs.
7. Properties of solutions and methods of solving of higher order non-homogeneous linear ODEs.
8. Laplace transform and its use in solving of linear ODEs.
9. Systems of 1st order ODEs. Properties of solutions and methods of solving of homogeneous linear systems of 1st order ODEs.
10. Properties of solutions and methods of solving of non-homogeneous linear systems of 1st order ODEs.
11. Stability of solutions of ODEs. Boundary value problem for 2nd order ODEs.
12. PDEs. Basic notions.
13. Classification of 2nd order PDEs and basic methods of solving.
39 hours, compulsory
Teacher / Lecturer
Ing. Hana Druckmüllerová, Ph.D.
RNDr. Rudolf Hlavička, CSc.
Ing. Tomáš Kisela, Ph.D.
prof. Aleksandre Lomtatidze, DrSc.
Ing. Barbora Navrátilová
doc. Mgr. Zdeněk Opluštil, Ph.D.
doc. Mgr. Pavel Řehák, Ph.D.
doc. Ing. Jiří Šremr, Ph.D.
doc. Ing. Petr Tomášek, Ph.D.
doc. Mgr. Petr Vašík, Ph.D.
Mgr. Jitka Zatočilová, Ph.D.
1. Limits and integrals - revision.
2. Infinite series.
3. Function and power series.
4. Taylor series.
5. Fourier series.
6. Analytical methods of solving of 1st order ODEs.
7. Analytical methods of solving of 1st order ODEs (continuation).
8. Higher order linear homogeneous ODEs.
9. Higher order non-homogeneous linear ODEs.
10. Laplace transform method of solving of linear ODEs.
11. Systems of 1st order linear homogeneous ODEs.
12. Systems of 1st order linear non-homogeneous ODEs.
13. Fourier method of solving of PDEs.
seminars in computer labs
13 hours, compulsory
Teacher / Lecturer
The course is realized in computer labs. The MAPLE software is utilized to illustrate and complete the following topics: 1. Revision of basic skills in MAPLE. 2. Function series - graphical illustrations of types of the convergence (with a special emphasize on Taylor and Fourier series). 3. 1st order ODEs - geometrical interpretation of solutions, graphical methods of solving (direction fields). 4. 1st order ODEs - applications (orthogonal trajectories and others). 5. Higher order ODEs - graphical interpretations of solutions, Taylor series method. 6. Systems of 1st order ODEs - graphical interpretations of solutions, the phase portrait. 7. PDEs - selected methods of solving.