ECTS - Spectral Representations and Unbounded Operator Theory
Spectral Representations and Unbounded Operator Theory (MATH659) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Spectral Representations and Unbounded Operator Theory | MATH659 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Discussion, Question and Answer. |
Course Lecturer(s) |
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Course Objectives | This course is designed to give students an idea of the modern operator theory and its applications. After a short review of some classes of bounded linear operators on a Hilbert space, we will consider projection operators and the spectral family. Using the spectral family, spectral representation of self adjoint operators will be obtained. Then we will turn to the theory of unbounded linear operators. Spectral representations of unitary and consequently, not necessarily bounded self adjoint operators will be discussed. Finally, we will consider applications of unbounded operators in Quantum Mechanics and in particular the Heisenberg uncertainty principle. The course is aimed at Mathematics students who want to pursue a career in Analysis and its applications. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Projection operators and their properties on Hilbert Spaces, Spectral family, Spectral representation of self adjoint operators, Unbounded operators on a Hilbert space, Spectral representation of unitary operators and not necessarily bounded self adjoint operators, applications of unbounded operators in Quantum Mechanics. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | A Review of Hilbert space operators | [1], 3.10, 9.1, 9.2 |
2 | A Review of Hilbert space operators | [1], 9.3, 9.4 |
3 | Projection operators on a Hilbert space and the spectral family | [1], 9.5, 9.6, 9.7 |
4 | Spectral family of a bounded self adjoint operator | [1], 9.8 |
5 | Spectral representation of a bounded self adjoint operator | [1], 9.9, 9.10 |
6 | Spectral representation of a bounded self adjoint operator | [1], 9.9, 9.10 |
7 | Spectral properties of the spectral family of a bounded self adjoint operator | [1], 9.11 |
8 | Review and Midterm | |
9 | Hellinger – Toeplitz theorem Unbounded linear operators on a Hilbert space | [1], 10.1, 10.2 |
10 | Closed linear operators and closure | [1], 10.3 |
11 | Spectral properties of self adjoint operators Review of unitary operators | [1], 10.4 |
12 | Spectral representation of a unitary operator | [1], 10.5 |
13 | Cayley transform and the spectral representation of a self adjoint operator | [1], 10.6 |
14 | Operators of multiplication and differentiation | [1], 10.7 |
15 | States, observables, position and momentum operators, Heisenberg uncertainty principle | [1], 11.1, 11.2 |
16 | Review |
Sources
Course Book | 1. E. Kreyszig, , Introductory Functional Analysis with Applications, Wiley Clas |
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2. Yurij M. Berezansky, Zinovij G. Sheftel, Georgij F. Us, Functional Analysis Vol. II, Birkhӓuser,1996. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 3 | 30 |
Presentation | 1 | 20 |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 20 |
Final Exam/Final Jury | 1 | 30 |
Toplam | 6 | 100 |
Percentage of Semester Work | 70 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
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 | Is independently able to build a problem in the area of study, solve the problem by developing solution techniques and assess the solutions. | X | ||||
2 | Is capable of creating a groundwork in the fundamental branches of mathematics as well as in his/her research area | X | ||||
3 | follows the latest national and international literature in Mathematics and in his/her area of research; and uses them in his/her related studies | X | ||||
4 | observes and adopts the scientific ethical values in his/her professional and social life | X | ||||
5 | presents in Turkish and English in academic/scientific events the results of his/her research or the latest studies and findings on a special topic and participates in discussions | X | ||||
6 | Develops skills to work independently or as a member of a team | X | ||||
7 | Develops competences in the areas of creative and critical thinking, problem solving and producing original studies. Follows recent scientific studies, is capable of making an analysis, synthesis and assessment of the knowledge acquired | X | ||||
8 | Is open to lifelong improvement of his/her acquired knowledge, skills and competences. | X | ||||
9 | Is able to apply the acquired knowledge and problem-solving skills to interdisciplinary studies, proposes different solution methods to problems in terms of mathematical models and from a mathematical point of view | X | ||||
10 | Uses the mathematical based softwares, informatics and communication technologies for scientific purposes | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 | 2 | 28 |
Presentation/Seminar Prepration | 1 | 10 | 10 |
Project | |||
Report | |||
Homework Assignments | 3 | 5 | 15 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 12 | 12 |
Prepration of Final Exams/Final Jury | 1 | 12 | 12 |
Total Workload | 125 |