M2100 Mathematical Analysis II

Faculty of Science
Spring 2016
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. Pavel Řehák, Ph.D. (lecturer)
RNDr. Pavel Boháč, Ph.D. (seminar tutor)
Mgr. Lenka Czudková, Ph.D. (seminar tutor)
RNDr. Iva Dřímalová, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ondřej Došlý, DrSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 10:00–11:50 M1,01017, Tue 10:00–11:50 M1,01017
  • Timetable of Seminar Groups:
M2100/01: Mon 8:00–9:50 M5,01013, P. Boháč
M2100/02: Tue 17:00–18:50 M1,01017, I. Dřímalová
M2100/03: Fri 12:00–13:50 M5,01013, P. Boháč
M2100/51: Wed 16:00–17:50 F3,03015, L. Czudková
Prerequisites
M1100 Mathematical Analysis I || M1101 Mathematical Analysis I
Differential and integral calculus of functuions of one variable, i.e. the couse Mathematical Analysis I (M1100).
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
Course objectives
Second part of the basic course of the mathematical analysis. The subject of the course are elementary methods of solution of differential equations, then the theory of metric spaces and finally the diferential 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.
Syllabus
  • I. Elementary methods of solution of differential equations: methods for first order equations, higher order linear differential equations with constant coefficients, systems of linear differential equations. II. Metric spaces: basic definitions, convergence, open and closed sets, continuous mappings, complete spaces, compact spaces, Banach contraction principle. III. Differential calculus of functions of several variables: limit, continuity, partial derivatives, Taylor's formula, extrema, mappings between higherdimensional spaces, implicit function theorem, constrained extrema.
Literature
  • RÁB, Miloš. Metody řešení diferenciálních rovnic. Vyd. 1. Praha: Státní pedagogické nakladatelství, 1989, 68 s. info
  • DOŠLÁ, Zuzana and Ondřej DOŠLÝ. Metrické prostory : teorie a příklady. 1. dotisk 2. přeprac. vyd. Brno: Masarykova univerzita, 2000, [iii], 83. ISBN 8021013281. info
  • DOŠLÁ, Zuzana and Ondřej DOŠLÝ. Diferenciální počet funkcí více proměnných. Vydání první. Brno: Vydavatelství Masarykovy univerzity, 1994, 130 stran. ISBN 8021009926. info
  • Sbírka příkladů: http://goo.gl/iXs0PD, viz studijní materiály
  • PLCH, Roman, Zuzana DOŠLÁ and Petr SOJKA. Matematická analýza s programem Maple. Díl 1, Diferenciální počet funkcí více proměnných. (The Multivariable Calculus with program Maple. Part 1, Differencial calculus). prvni. Brno: Masarykova Universita, 1999, 80 pp. ISBN 80-210-2203-5. URL info
  • odkaz na skripta Plch, Došlá, Sojka, ...: http://www.math.muni.cz/~plch/mapm/index_cd.html
Teaching methods
Theoretical lecture with seminar.
Assessment methods
Final exam consists of written test and oral exam. Results of the intrasemestral tests are included in the overall evaluation. There will be 3(+1) written intrasemestral tests in tutorials.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2000, Spring 2001, Spring 2002, Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2016, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2016/M2100