Functional Analysis (MATH357) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Functional Analysis MATH357 7. Semester 3 0 0 3 6
Pre-requisite Course(s)
MATH251
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Erdal KARAPINAR
Course Assistants
Course Objectives The aim of the course is providing a familiarity to concepts of the functional analysis, such as norm, compactness and convergence.
Course Learning Outcomes The students who succeeded in this course;
  • At the end of the course the student is expected to: 1) understand the notions of commutative metric and normed spaces and be able prove the basic facts of these theory, 2) apply this theories to operator theory, 3) know the Hahn-Banach Theorem, 4) know uniform boundedness principle, 5) know open mapping and closed graph theorems.
Course Content Vector spaces, Hamel basis, linear operators, equations in operators, ordered vector spaces, extension of positive linear functionals, convex functions, Hahn-Banach Theorem, The Minkowski functional, Separation Theorem, metric spaces, continuity and uniform continuity, completeness, Baire Theorem, normed spaces, Banach spaces, the algebra of bounde

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Metric Spaces Open Sets, Closed Sets pp. 2--22
2 Convergence, Cauchy Sequence, Completeness pp. 23--44
3 Vector Spaces, Normed Spaces Banach Spaces pp. 50--66
4 Further Properties of Normed Spaces Finite Dimensional Normed Spaces and Subspaces pp. 67--75
5 Compactness and Finite Dimensional Linear Operators pp. 77--90
6 Bounded and Continuous Linear Operators, Linear Functional pp. 91--110
7 Midterm Exam
8 Linear Operators and Functionals on Finite Dimensional Spaces Normed Spaces of Operators, Dual Spaces pp. 111--125
9 Hahn-Banach Theorem Hahn-Banach Theorem for Complex Valued Vector Spaces and Normed Spaces pp. 213--224
10 Application to Bounded Linear Functionals on C[a,b] pp. 225--230
11 Adjoint Operator pp. 231--238
12 Reflexive Spaces pp. 239-245
13 Midterm Exam
14 Category Theorems Uniform Boundedness Theorem pp. 246--254
15 Strong and Weak Convergence Convergence of Sequence of Operators and Functionals pp.256-268
16 Review

Sources

Course Book 1. Introductory Functional Analysis with Applications, E. Kreyszig, 1978, John Wiley and Sons Inc. ISBN 0-471-5073-8
Other Sources 2. Elements of the Theory of Functions and Functional Analysis, A.N. Kolmogorov and S.V. Fomin, Dover, NY, 1999. ISBN: 0-486-40683-0
3. Functional Analysis, G.Bachman and L. Narici , Dover, 1991, ISBN: 0-486-40251-7

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 60
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction. X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 4 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 12 24
Prepration of Final Exams/Final Jury 1 16 16
Total Workload 150