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Applied Functional Analysis
(dt. Angewandte Funktionalanalysis)

Level, degree of commitment in original study programme Advanced module, compulsory elective module
Forms of teaching and learning,
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement: Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
The grading is done with 0 to 15 points according to the examination regulations for study course M.Sc. Mathematics.
Original study programme M.Sc. Mathematik / Vertiefungsbereich Mathematik
One semester,
Regelmäßig im Wechsel mit Funktionalanalysis
Person in charge of the module's outline Prof. Dr. Ilka Agricola, Prof. Dr. Stephan Dahlke


Banach and Hilbert spaces, theorems of Hahn and Banach, function spaces, continuation and embedding theorems, elliptic partial differential equations

Qualification Goals

The students shall

  • learn to recognize and assess the relevance of functional analytical methods for practical problems, e.g. from numerical analysis, , and to acquire the functional analytical tools to solve these problems,
  • learn how methods of linear algebra, analysis and topology interact,
  • Re-evaluate knowledge from the basic modules and some advanced modules (e.g. ''complex analysis and vector analysis''),
  • recognize the relationships of functional analysis to other areas of mathematics and other sciences,
  • practice mathematical working methods (development of mathematical intuition and its formal justification, training of the ability to abstract, proof techniques),
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.


None. The competences taught in the following modules are recommended: either Foundations of Mathematics and Linear Algebra I and Linear Algebra II or Basic Linear Algebra, either Analysis I and Analysis II or Basic Real Analysis. In addition, knowledge of general integration theory is recommended, as taught in the modules Measure and Integration Theory or Complex Analysis and Vector Analysis.

Recommended Reading

  • Dobrowolski, M., Angewandte Funktionalanalysis, Springer 2006
  • Alt, H.W. , Lineare Funktionalanalysis, Springer 1999

Please note:

This page describes a module according to the latest valid module guide in Wintersemester 2021/22. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.