250142 VO Topics in Analysis (2022W)
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Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
11.10.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
12.10.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
18.10.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
19.10.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
25.10.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
08.11.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
09.11.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
15.11.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
16.11.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
22.11.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
23.11.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
29.11.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
30.11.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
06.12.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
07.12.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
13.12.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
14.12.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
10.01.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
11.01.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Monday
16.01.
09:45 - 11:15
Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
17.01.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
18.01.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Monday
23.01.
09:45 - 11:15
Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
24.01.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
25.01.
13:15 - 14:45
Seminarraum 9 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
31.01.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
The aim of this course is to provide an introduction to the rigorous mathematical analysis of solutions to partial differential equations with dispersive or wave features. Classical such examples are the (nonlinear) Schrodinger, wave or KdV equations, which arise in various physical contexts (such as quantum mechanics, electrodynamics, fluid motion and relativity theory) and will guide the exposition. The necessary technical tools, including in particular basics of distribution theory and harmonic/Fourier analysis, will be developed along the way.Plan of the course:- Introduction- Some background in distributions and Harmonic / Fourier analysis- Solutions to linear equations and their behavior- What do we mean by solving a nonlinear equation?- Semilinear Equations: Local Solutions- Semilinear Equations: Global Solutions and (long time) dynamics?- Quasilinear Equations: Spacetime resonance approachPrerequisites:Solid foundations in analysis, including measure theory and some basics of functional analysis. No prior knowledge of Sobolev spaces / PDE necessary.
Assessment and permitted materials
oral exam
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
MANV
Last modified: Fr 16.02.2024 00:18