Introduction To Functional Analysis(MAT452)
Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
---|---|---|---|---|---|---|---|
MAT452 | Introduction To Functional Analysis | 7 | 4 | 0 | 0 | 4 | 8 |
Prerequisites | MAT201, MAT261, MAT262 |
Admission Requirements | MAT201, MAT261, MAT262 |
Language of Instruction | French |
Course Type | Compulsory |
Course Level | Bachelor Degree |
Course Instructor(s) | Serap GÜRER serapgurer@gmail.com (Email) |
Assistant | |
Objective | The objective of this course is to study the the basic tools for the functional anlysis |
Content |
Banach spaces, Hilbert spaces, Hahn Banach theorem integrability, completeness of Lp spaces Applications of functional analysis. |
Course Learning Outcomes | |
Teaching and Learning Methods | Course and Recitation Hours |
References | Introductory Functional Analysis and Applications, Erwin Kreyszig |
Theory Topics
Week | Weekly Contents |
---|---|
1 | Metric Spaces: Complete spaces, compactness |
2 | Definitions and examples of Banach spaces. Continuous and integrable function spaces |
3 | Banach spaces, compactness and finite dimension, Ascoli’s theorem |
4 | Duality in Banach spaces |
5 | Definitions and examples of Hilbert spaces. |
6 | Orthogonality and projection. Riesz–Fischer theorem |
7 | Midterm |
8 | Fundamental theorem of functional analysis: Zorn's Lemma, Hahn Banach's Theorem |
9 | Fundamental theorem of functional analysis: Zorn's Lemma, Hahn Banach's Theorem |
10 | Homework |
11 | Lp spaces, measurement theory and definition of Lp spaces |
12 | Lp spaces as Banach spaces, Density in Lp spaces |
13 | Applications of Functional Analysis: Fourier Transformation and Applications |
14 | Applications of functional analysis: Sobolev spaces and their properties |
Practice Topics
Week | Weekly Contents |
---|---|
1 | |
2 | |
3 | |
4 | |
5 | |
6 | |
7 | |
8 | |
9 | |
10 | |
11 | |
12 | |
13 | |
14 |
Contribution to Overall Grade
Number | Contribution | |
---|---|---|
Contribution of in-term studies to overall grade | 1 | 60 |
Contribution of final exam to overall grade | 1 | 40 |
Toplam | 2 | 100 |
In-Term Studies
Number | Contribution | |
---|---|---|
Assignments | 0 | 0 |
Presentation | 0 | 0 |
Midterm Examinations (including preparation) | 1 | 30 |
Project | 0 | 0 |
Laboratory | 0 | 0 |
Other Applications | 0 | 0 |
Quiz | 2 | 30 |
Term Paper/ Project | 0 | 0 |
Portfolio Study | 0 | 0 |
Reports | 0 | 0 |
Learning Diary | 0 | 0 |
Thesis/ Project | 0 | 0 |
Seminar | 0 | 0 |
Other | 0 | 0 |
Toplam | 3 | 60 |
No | Program Learning Outcomes | Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; | X | ||||
2 | can properly state and use concepts and results of major mathematical interest; | X | ||||
3 | masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; | X | ||||
4 | is able to express one’s mathematical ideas in an organised way both in written and oral forms; | X | ||||
5 | understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); | X | ||||
6 | has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; | X | ||||
7 | has a theoretical and practical knowledge in computer science well adapted for learning a programming language; | X | ||||
8 | has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; | X | ||||
9 | has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; | X | ||||
10 | masters French language as well as other foreign languages, to a level sufficient to study or work abroad. | X |
Activities | Number | Period | Total Workload |
---|---|---|---|
Class Hours | 14 | 4 | 56 |
Working Hours out of Class | 14 | 2 | 28 |
Midterm Examinations (including preparation) | 1 | 10 | 10 |
Final Examinations (including preparation) | 1 | 20 | 20 |
Quiz | 2 | 6 | 12 |
Total Workload | 126 | ||
Total Workload / 25 | 5.04 | ||
Credits ECTS | 5 |