Undergraduate Course: Real Analysis (MATH11136)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | NB. This course is delivered *biennially* with the next instance being in 2016-17. It is anticipated that it would then be delivered every other session thereafter.
This course introduces the essentials of modern real analysis which emerged from the work of Hardy and Littlewood in the 1930's and later from the work of Calderon and Zygmund in the 1950's. Many results and techniques from modern real analysis have become indispensable in many areas of analysis, including partial differential equations. |
| Course description |
- Covering lemmas, maximal functions and the Hilbert transform.
- The Fourier Transform, L1 and L2 theory.
- Weak type estimates and Interpolation.
- Introduction to singular integrals and connections with partial differential equations.
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Information for Visiting Students
| Pre-requisites | Visiting students are advised to check that they have studied the material covered in the syllabus of any pre-requisite course listed above before enrolling |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2016/17, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
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| Assessment (Further Info) |
Written Exam
95 %,
Coursework
5 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 5%, Examination 95% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | Real Analysis (MATH11136) | 2:00 | |
Learning Outcomes
1. Facility with the maximal functions and simple singular integrals.
2. Ability to use interpolation to reduce the study of certain linear and sublinear operators to their endpoint bounds.
3. Capacity to identify the essential features in methods and arguments introduced in the course and adapt them to other settings.
4. Be able to produce examples and counterexamples illustrating the mathematical concepts presented in the course.
5. Understand the statements and proofs of important theorems and be able to explain the key steps in proofs, sometimes with variation.
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Reading List
Recommended:
1. Singular Integrals and Differentiability Properties of Functions, by E.M. Stein, Princeton University Press.
2. Fourier Analysis, by J. Duoandikoetxea, Graduate Studies in Mathematics, Amer. Math. Soc. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | RAna |
Contacts
| Course organiser | Dr Aram Karakhanyan
Tel: (0131 6)50 5056
Email: aram.karakhanyan@ed.ac.uk |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
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