PřF:M2100F Mathematical Analysis II - Course Information
M2100F Mathematical Analysis II
Faculty of ScienceSpring 2022
- Extent and Intensity
- 4/2/0. 6 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Petr Hasil, Ph.D. (lecturer)
Mgr. Darek Cidlinský (seminar tutor)
Mgr. Stanislav Hronek (seminar tutor)
Mgr. Pavla Musilová, Ph.D. (seminar tutor) - Guaranteed by
- prof. Mgr. Petr Hasil, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Tue 18:00–19:50 A,01026, Wed 18:00–19:50 A,01026
- Timetable of Seminar Groups:
M2100F/02: Wed 10:00–11:50 F1 6/1014, D. Cidlinský - Prerequisites
- M1100 Mathematical Analysis I || M1101 Mathematical Analysis I || M1100F Mathematical Analysis I
The knowledge from course Mathematical Analysis I is assumed. - 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)
- Financial and Insurance Mathematics (programme PřF, B-MA)
- Mathematics (programme PřF, B-MA)
- Statistics and Data Analysis (programme PřF, B-MA)
- Course objectives
- Second part of the basic course of the mathematical analysis. The subject of the course are the theory of metric spaces, the differential calculus of functions of several variables, and the integral calculus of functions of several variables. After passing the course, the student will be able: to define and interpret the basic notions used in the basic parts of mathematical analysis and to explain their mutual context; to formulate relevant mathematical theorems and statements and to explain methods of their proofs; to use effective techniques utilized in basic fields of analysis; to apply acquired pieces of knowledge for the solution of specific problems including problems of applicative character.
- Learning outcomes
- At the end of the course students will be able to:
- define and interpret the notions from the theory of metric spaces and the differential and integral calculus of functions of several variables;
- formulate relevant mathematical theorems and to explain methods of their proofs;
- analyse problems from the topics of the course;
- understand to theoretical and practical methods of the theory of metric spaces and the differential and integral calculus of functions of several variables;
- apply the methods of mathematical analysis to concrete problems. - Syllabus
- I. Metric spaces: basic definitions, convergence, open and closed sets, continuous mappings, complete spaces, compact spaces, Banach contraction principle. II. Differential calculus of functions of several variables: limit, continuity, partial derivatives, Taylor's formula, extrema, mappings between higherdimensional spaces, implicit function theorem, constrained extrema. III. Integral calculus of functions of several variables: Jordan measure, Riemann integral, Fubini theorem, transformation theorem for multiple integrals, elements of curvelinear and surface integral, integrals depending on a parameter.
- Literature
- recommended literature
- DOŠLÁ, Zuzana and Ondřej DOŠLÝ. Metrické prostory : teorie a příklady. 4. vydání. Brno: Masarykova univerzita, 2016, viii, 90. ISBN 9788021083578. info
- DOŠLÁ, Zuzana and Ondřej DOŠLÝ. Diferenciální počet funkcí více proměnných. 1. dotisk 3. vyd. Brno: Masarykova univerzita, 2010, 144 pp. ISBN 978-80-210-4159-2. info
- KALAS, Josef and Jaromír KUBEN. Integrální počet funkcí více proměnných (Integral calculus of functions of several variables). 1st ed. Brno: Masarykova univerzita, 2009, 278 pp. ISBN 978-80-210-4975-8. info
- not specified
- HASIL, Petr and Petr ZEMÁNEK. Sbírka řešených příkladů z matematické analýzy II (Collection of Solved Problems in Mathematical Analysis II). Masarykova univerzita, 2016. URL info
- ADAMS, R. A. and Christopher ESSEX. Calculus : a complete course. 7th ed. Toronto: Pearson, 2010, xvi, 973. ISBN 9780321549280. info
- BUCK, R. Creighton. Advanced calculus. 3d ed. Long Grove: Waveland Press, 2003, x, 622. ISBN 1577663020. info
- RÁB, Miloš. Zobrazení a Riemannův integrál v En. Vyd. 1. Praha: Státní pedagogické nakladatelství, 1988, 97 s. info
- JARNÍK, Vojtěch. Integrální počet. Vyd. 2. Praha: Academia, 1976, 763 s. URL info
- BRAND, Louis. Advanced calculus : an introduction to classical analysis. New York: John Wiley & Sons, 1955, x, 574. info
- Teaching methods
- Standard theoretical lectures with excercises.
- Assessment methods
- Adjustment for pandemic period (onsite/online teaching):
Lectures and seminars are NOT compulsory.
The exam will be probably online. Specific course according to the situation at the time.
If possible, other standard rules will be maintained.
Standard rules for regular semesters:
Lectures: 4 hours/week. Seminars (compulsory): 2 hours/week.
5 written intrasemestral tests in seminars (10% of the overall evaluations).
Final exam: Written test (55%) and oral exam (35%).
To pass: at least 5 of 10 points from intrasemestral tests, then 45% in total.
Results of the intrasemestral tests are included in the overall evaluation. All percentages are given relative to the overall total for the whole semester. - Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- F3063 Integration of forms
(M1100&&M2100)||(M1100F&&M2100F) - M3100F Mathematical Analysis III
( M2100F || M2100 ) && !M3100
- F3063 Integration of forms
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/sci/spring2022/M2100F