MAT4003 Functional Analysis IBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4003 Functional Analysis I Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. MAKSAT ASHRAYYEV
Recommended Optional Program Components: There is none.
Course Objectives: This course aims to provide deep understanding of introductory functional analysis.

Learning Outcomes

The students who have succeeded in this course;
Will be able to understand the need for functional analysis and infinite dimensional vector spaces.
Will be able to compare the notions of Metric, Banach and Hilbert spaces.
Will be able to construct formal proofs.
Will be able to compare function,functional and operator.
Will be able to derive the dual space of a given Banach space.
Will be able to explain representation of functionals on Hilbert spaces.

Course Content

This course aims to teach basic theory and applications of Functional Analysis

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction: Metric Space, Open set, Closed set, Neighborhood.
2) Sequences: Boundedness, Convergence, Cauchy Sequence, Seperability.
3) Completeness and Completion of Metric Spaces.
4) Examples. Completeness Proofs.
5) Vector spaces: Subspace, Dimension, Hamel Basis.
6) Normed Spaces, Banach Spaces: Normed Space, Banach Space, Further Properties of Normed Spaces.
7) Finite Dimensional Normed Spaces and Subspaces, Compactness and Finite Dimension.
8) Linear Operators: Some Properties.
9) Applications of Bounded and Linear Operators.
10) Functionals: Linear Functionals, Normed Spaces of Operators.
11) Dual Space: Algebric Dual and Continuous Dual.
12) Inner Product Spaces, Hilbert Spaces: Inner Product Space Hilbert Space, Further Properties of Inner Product Spaces, Parallelogram Law.
13) Orthogonal Complements and Direct Sums.
14) Total Orthonormal Sets and Sequences, representation of Functionals on Hilbert Spaces, Hilbert adjoint Operator.

Sources

Course Notes / Textbooks: Walter Rudin, Functional Analysis 2/E, International Series in Pure and Applied Mathematics (1991).
References: Erwin Kreyszig, “Introductory Functional Analysis with Applications” by Wiley (1989).

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Homework Assignments 7 % 20
Midterms 2 % 50
Final 1 % 30
Total % 100
PERCENTAGE OF SEMESTER WORK % 70
PERCENTAGE OF FINAL WORK % 30
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 5 70
Homework Assignments 7 6 42
Midterms 2 15 30
Final 1 41 41
Total Workload 225

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 3
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, 3
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 5
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 4
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 5
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 4