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Mathematical analysis II.2

General data

Course ID: 1000-114bAM4a
Erasmus code / ISCED: 11.1 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0541) Mathematics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Mathematical analysis II.2
Name in Polish: Analiza matematyczna II.2 (potok 1)
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: Obligatory courses for 2nd grade JSIM (3I+4M)
Obligatory courses for 2nd grade JSIM (3M+4I)
Obligatory courses for 2rd grade Mathematics
ECTS credit allocation (and other scores): 7.50 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Main fields of studies for MISMaP:

mathematics
physics

Type of course:

obligatory courses

Prerequisites (description):

(in Polish) Oczekuje się dobrej znajomości zagadnień ujętych w sylabusie przedmiotu Analiza matematyczna II.1.

Short description: (in Polish)

Przedmiot jest kontynuacją Analizy matematycznej II.1, obejmuje dalszy ciąg teorii całki Lebesgue'a, funkcje całkowalne w sensie Lebesgue'a oraz rachunek różniczkowy i całkowy na podrozmaitościach R^n.

Full description:

Change of variables in Lebesgue integral - multidimensional case. Integrals dependent on parameters, their differentiability with respect to parameters. Convolution. Weierstrass Approximation Theorem (e.g. Tonelli polynomials). Curves and surfaces in R^3: curvature and torsion, inner product. Lebesgue-Riemann measure on manifolds embedded in R^n, an example of a polyhedron with small edges and huge area insrcibed in a cylinder.

Examples. Mass center and Guldin Theorems. Vector analysis in R^3. Green's Theorem, Classical Stokes Theorem and Divergence (Gauss-Ostrogradski)

Theorem with simple physical applications, physical meaning of divergence and rotation. Path integrals independent of the paths. Orientable and

nonorientable manifolds in R^n. Remarks on differential forms and the general Stokes Theorem on manifolds with boundary.

Bibliography:

M.Spivak, Modern Approach to Classical Theorems of Advanced Calculus

W.A. Benjamin, L.Bers, Calculus

W.Rudin, Principles of Mathematical Analysis, McGraw-Hill Science Engineering

W.Rudin, Real and Complex Analysis, McGraw-Hill, New York, 1966. xi+412 pp.

Learning outcomes:

1. A student has to be able to integrate function of two and three variables using theorems that allows switch the order of integration and change of variables.

2. Students has to be familiar with the definition of measure on smooth manifold and its properties. A student is able to calculate area of a two-variable function graph and area of a parametric surface.

3. A student is familiar with differential forms and is able to manipulate differential forms. A students knows Stokes' theorem and its particular formulations: Green's theorem, Gauss-Ostrogradsky's divergence theorem and examples of applications of those theorems. A student is able to integrate differential forms on manifolds of R^n. A student uses Green's and Gauss-Ostrogradsky's formulas to solve various problems.

Assessment methods and assessment criteria:

On the basis of scores obtained during the semester and the final exam.

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 45 hours more information
Lecture, 30 hours more information
Coordinators: Anna Zatorska-Goldstein
Group instructors: Michał Miśkiewicz, Tomasz Piasecki, Anna Zatorska-Goldstein, Henryk Żołądek
Students list: (inaccessible to you)
Examination: Course - Examination
Lecture - Examination

Classes in period "Summer semester 2024/25" (future)

Time span: 2025-02-17 - 2025-06-08
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 45 hours more information
Lecture, 30 hours more information
Coordinators: Marek Bodnar
Group instructors: Marcin Bobieński, Marek Bodnar, Tomasz Maszczyk, Michał Miśkiewicz, Tomasz Piasecki
Students list: (inaccessible to you)
Examination: Course - Examination
Lecture - Examination
Course descriptions are protected by copyright.
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