CS

PřF:M8101 An introduction to PDE - Course Information

M8101 An introduction to partial differential equations

Faculty of Science
spring 2018
Extent and Intensity
2/2. 3 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
Teacher(s)
dr. Phuoc Tai Nguyen, Ph.D. (lecturer)
Supervisor
dr. Phuoc Tai Nguyen, Ph.D.
Department of Mathematics and Statistics - Departments - Faculty of Science
Supplier department: Department of Mathematics and Statistics - Departments - Faculty of Science
Timetable
Tue 16:00–17:50 MS1,01016
  • Timetable of Seminar Groups:
M8101/01: Thu 15:00–17:50 MS1,01016
Prerequisites
There is no strict pre-requisites. In general, it would be an advantage if students know some basic concepts in Functional Analysis and Measure Theory. However, all necessary backgrounds will be explained quickly in the course.
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 the course is directly associated with
Course objectives
The goal of this course is to present an overview of partial differential equations which arise in many different contexts such as potential theory and stochastic processes. In the first part, we will study second order elliptic equations, in particularly Laplace equation and Poisson equation. We will focus on important topics such as harmonic functions, Harnack inequality, Liouville theorem, classical solution, weak solutions and regularity. The second part provides basic background and some methods to solve heat equations. Some applications will be also discussed.
Learning outcomes
After completing the course, a student will be able to master standard concepts in the theory of partial differential equations and know some methods to solve elliptic and parabolic equations.
Syllabus
  • 1. Laplace equation, Poisson equation, fundamental solutions. 2. Mean value formulas, properties of harmonic functions. 3. Green kernel and Poisson kernel. 4. Energy method. 5. Sobolev spaces and weak solutions. 6. Regularity and maximum principle. 7. Heat equations. References: - Brezis, Haim Functional analysis, Sobolev spaces and partial differential equations. Universitext. Springer, New York, 2011. xiv+599 pp. ISBN: 978-0-387-70913-0. - Evans, Lawrence C., Partial differential equations. Graduate Studies in Mathematics, 19. American Mathematical Society, Providence, RI, 1998. xviii+662 pp. ISBN: 0-8218-0772-2. - Gilbarg, David; Trudinger, Neil S., Elliptic partial differential equations of second order. Reprint of the 1998 edition. Classics in Mathematics. Springer-Verlag, Berlin, 2001. xiv+517 pp. ISBN: 3-540-41160-7.
Teaching methods
Lectures, tutorial/exercise discussion and homework
Assessment methods
There will be two mandatory homework assignments, each of them contributes 25% of the total grade, and one final written examination which contributes 50% of the total grade.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is also listed under the following terms Spring 2017, Spring 2019.
  • Enrolment Statistics (spring 2018, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2018/M8101