MAT-62256 Advanced Functional Analysis, 7 cr

Additional information

Moodle is used during the course. The course is lectured every second year.
Suitable for postgraduate studies. The implementation will not be executed during the academic year 2016-2017.

Person responsible

Esko Turunen, Sirkka-Liisa Eriksson

Lessons

Implementation Period Person responsible Requirements
MAT-62256 2016-01 - Sirkka-Liisa Eriksson
Final exam

Learning Outcomes

After completion of the course the student is mastering the foundations of the functional analysis the main results and is capable of deducing them from the definitions. The student can compute the generalized derivatives and apply them for solving partial differential equations. The student can explain different type of Sobolev spaces and knows their importance.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Topological foundations Banach- ja Hilbert spaces Hahn-Banach theorem The open mapping theorem Baire category theorems Closed operator theorems   Weak topology.   
2. Generalized measure theory Rieszin representation theorem  The proofs involving results connecting Lebesgue and the generalized measure theory  The proof of the Riesz represention theorem 
3. Distribution theory and its applications to partial differential equations    The exact definition of tthe topology of the space of distributions  
4. Sobolev spaces     

Instructions for students on how to achieve the learning outcomes

The grade of the course is based on the final exam or two partial exams. When the points for the final exam or the partial exams are 30% of the maximum, the grade of the course may be improved by bonus points collected from the instructed exercises and homework. The passing limit is 50% of the maximum. If the student is mastering the concepts, results, short proofs and examples type of problems the evaluation is 3. For the grade 4 the student should in addition to the previous level be able to independently apply theory more. For the grade 5 the student should independently deduce results, invent solutions and compare results more than in the previous levels.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Functional Analysis   G. Bachman, L. Narici         No   
Book   Functional Analysis   Lax         No   
Book   Functional Analysis   Rudin         No   
Summary of lectures   MAT-53550 Advanced Functional Analysis   Eriksson         Yes   

Prerequisites

Course Mandatory/Advisable Description
MAT-60206 Mathematical Analysis Advisable    
MAT-61006 Introduction to Functional Analysis Advisable    
MAT-61756 Measure and Integration Advisable    



Correspondence of content

Course Corresponds course  Description 
MAT-62256 Advanced Functional Analysis, 7 cr MAT-53557 Advanced Functional Analysis, 8 cr  

Updated by: Pitkänen Anna, 01.03.2017