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Partial differential equations

General data

Course ID: 1000-135RRC
Erasmus code / ISCED: 11.143 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: Partial differential equations
Name in Polish: Równania różniczkowe cząstkowe
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka
Elective courses for 2nd stage studies in Mathematics
ECTS credit allocation (and other scores): 6.00 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: English
Type of course:

elective courses

Prerequisites (description):

It is recommended to take Functional analysis prior (or, at least, in parallel) to this course.

Short description:

Introduction to the theory of linear partial differential equations. The first part focuses on the classical theory. The second gives introduction to the theory of Sobolev spaces and weak solutions of elliptic problems. The course does not require previous experience in PDEs. However, the students are encouraged to take a basic course in Functional Analysis, at least parallelly. Certain issues, in particular concerning the theory of weak solutions, will be treated in a more detailed way compared to the course "Introduction to PDE".

Full description:

Examples of partial differential equations, physical motivations. Equations of the first order and the method of characteristics (2 lectures).

Classical theory of elliptic equations (representation of solutions, maximum principles and their applications) (3 lectures).

Fourier Transform: definition, basic properties and applications to linear PDE (1 lecture).

Introduction to the theory of distributions and Sobolev spaces: notion and basic properties of weak derivatives, trace and imbedding theorems, the Rellich-Kondrashov Theorem (3 lectures).

Lax-Milgram Lemma and its applications in existence proofs for weak solutions of elliptic problems, Galerkin Method for linear problems (2 lectures).

Introduction to spectral theory. Fredholm alternative and its applications to linear elliptic problems (1 lecture).

Information on the regularity theory of elliptic equations. Examples of applications of fixed point theorems and Galerkin method to nonlinear problems.

(1 lecture).

Bibliography:

L.C.Evans, Partial differntial equations. AMS 1998

D.Gilbarg, N.S.Trudinger, Elliptic partial differential equations of second order. Springer-Verlag, Berlin 1983

Learning outcomes:

A student:

1. Knows basic properties of the Laplace operator and harmonic functions.

2. Knows the definition and basic properties of the Fourier transform and examples of its applications to linear PDE.

3. Knows basic properties of Sobolev spaces. Is aware of basic versions of trace and imbedding theorems

and knows how to apply them in the estimates for linear PDE.

4. Is able to apply the Lax-Milgram Theorem to prove the existence of weak solutions to elliptic problems.

5. Knows the Galerkin method and its basic applications in PDE.

6. Is familiar with classical fixed point theorems and their applications to simple nonlinear equations.

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Paweł Strzelecki
Group instructors: Paweł Strzelecki
Students list: (inaccessible to you)
Examination: Examination

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

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Tomasz Piasecki
Group instructors: Piotr Mucha, Łukasz Piasecki, Tomasz Piasecki
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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