Not available in 2021/22
MA412 Half Unit
Functional Analysis and its Applications
This information is for the 2021/22 session.
Teacher responsible
Dr Robert Simon
Availability
This course is available on the MSc in Applicable Mathematics. This course is available with permission as an outside option to students on other programmes where regulations permit.
Pre-requisites
Students should have taken a course in finite dimensional linear algebra which includes diagonisation and inner products. General knowledge of real analysis and calculus would be helpful.
Course content
This course aims at familiarizing the student with the basic concepts, principles and methods of functional analysis and its applications. The topics covered are: normed and Banach spaces, continuous linear transformations, inner product and Hilbert spaces, compact operators, Hahn-Banach and Baire Category Theorems, applications to differential equations, numerical analysis, and approximation theory with illustrative examples.
Teaching
20 hours of lectures and 10 hours of seminars in the MT. 2 hours of lectures in the ST.
Indicative reading
Jean-Pierre Aubin, Applied Functional Analysis, Wiley, 2000; A.V. Balakrishnan, Applied Functional Analysis, Springer, 1981; Erwin Kreyszig, Introductory Functional Analysis with Applications, John Wiley, 1989; David Luenberger, Optimization by Vector Space Methods, Wiley-Interscience, 1997; Walter Rudin, Functional Analysis, McGraw-Hill 1991; Nicholas Young, An Introduction to Hilbert Space, Cambridge University Press, 1988.
Assessment
Exam (90%, duration: 2 hours) in the summer exam period.
Coursework (10%) in the LT.
Course selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.
Important information in response to COVID-19
Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Mathematics
Total students 2020/21: Unavailable
Average class size 2020/21: Unavailable
Controlled access 2020/21: No
Value: Half Unit
Personal development skills
- Self-management
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills