PřF:M8230 Discrete deterministic models - Course Information
M8230 Discrete deterministic models
Faculty of ScienceAutumn 2020
- Extent and Intensity
- 2/2/0. 4 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- Teacher(s)
- prof. RNDr. Zdeněk Pospíšil, Dr. (lecturer)
Mgr. Jan Böhm (seminar tutor) - Guaranteed by
- prof. RNDr. Zdeněk Pospíšil, Dr.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Mon 18:00–19:50 prace doma
- Timetable of Seminar Groups:
- Prerequisites
- Any course of calculus and linear algebra
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics for Multi-Branches Study (programme PřF, B-MA)
- Applied Mathematics for Multi-Branches Study (programme PřF, N-MA)
- Economics (programme ESF, N-MA)
- Financial and Insurance Mathematics (programme PřF, B-MA)
- Finance Mathematics (programme PřF, N-MA)
- Mathematical Biology (programme PřF, B-EXB)
- Mathematical Biology (programme PřF, N-EXB)
- Mathematical Modelling and Numeric Methods (programme PřF, N-MA)
- Modelling and Calculations (programme PřF, B-MA)
- Statistics and Data Analysis (programme PřF, B-MA)
- Statistics and Data Analysis (programme PřF, N-MA)
- Course objectives
- The aim of the subject is to present elements of theory of difference equations. Student will be able to find explicite solution of linear equation, of autonomous linear system and of equation transformable to a linear one. She/he will be informed on basic qualitative methods dealing with autonomous equations and systems and she/he will be familiar with standard discrete dynamical models in life science and economy.
- Learning outcomes
- At the end of the course students should be able to:
construct a mathematical model of a real phenomenon evolving in a "naturally" non-continuous time;
to write down difference equations as an approximation of continuous proces described by differential equations;
to interpret difference equations as models of real processes;
to investigate basic qualitative properties of difference equation solutions.
Illustrating examples are taken from population dynamics and macroeconomy. - Syllabus
- Elements of difference and summation calculus.
- Difference equations of the first and second kinds.
- Linear equations and their explicit solutions.
- Equations transformable to the linear ones.
- Nonlinear equations, "cod-web" procedure.
- Stability of equilibria.
- Autonomous systems
- Z-transform method
- Literature
- recommended literature
- An introduction to difference equations. Edited by Saber N. Elaydi. 3rd ed. New York: Springer, 2005, xxii, 539. ISBN 0387230599. info
- not specified
- BRITTON, N. F. Essential mathematical biology. London: Springer, 2003, xv, 335. ISBN 185233536X. info
- SEDEGHAT, Hassan. Nonlinear difference equations : theory with applications to social science models. Dordrecht: Kluwer Academic Publishers, 2003, xv, 388. ISBN 1402011164. info
- MURRAY, J. D. Mathematical biology. 3rd ed. New York: Springer, 2002, xxiii, 551. ISBN 0387224378. info
- Teaching methods
- Lectures and seminars followed by class discussion and homework. Acording to up-to-date political-epidemiological situation, lectures, seminars and class discussions can be replaced by a form of distant quasi-teaching.
- Assessment methods
- Written exam followed by an oral one. The oral exem can be replaced by a distant form in the case of forbiddance of the direct teaching.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught once in two years.
- Enrolment Statistics (Autumn 2020, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2020/M8230