Mathematics

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
Print the course contents
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
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