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MA3OT - Operator Theory

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MA3OT-Operator Theory

Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites: MA3MS Metric Spaces
Modules excluded: MA4OT Operator Theory
Current from: 2020/1

Module Convenor: Dr Raffael Hagger

Email: r.t.hagger@reading.ac.uk

Type of module:

Summary module description:
Operator theory is a diverse area that has grown out of linear algebra and complex analysis, and is often described as the branch of functional analysis that deals with bounded linear operators and their (spectral) properties. It has developed with strong links to (mathematical) physics and mechanics, and continues to attract both pure and applied mathematicians in its vast area.

Aims:
To introduce the basic theory of Banach algebras and spectral theory, to develop further theory of bounded operators on Hilbert space, to discuss the theory of compact and Fredholm operators, and finally apply the results to the study of infinite matrices and concrete operators in function spaces.

Assessable learning outcomes:
By the end of the module students are expected to be able to:
- use Banach algebra techniques to solve problems in mathematics, applied mathematics and mathematical physics;
- demonstrate understanding of the properties of bounded linear operators on Hilbert spaces;
- demonstrate understanding of compact and Fredholm operators;
- solve problems involving infinite matrices and concrete operators in function spaces.

Additional outcomes:
To appreciate the fruitful interplay between operator theory, real and complex analysis and linear algebra, and how this produces remarkable results in mathematics and its applications.

Outline content:
Banach algebras. Basic geometry of Hilbert space. Introduction to the theory of C*-algebras. Further theory of compact and bounded linear operators on Hilbert space. Fredholm operators. Concrete operators (such as Toeplitz, Hankel and integral operators) acting on function spaces (such as Hardy and Bergman spaces).

Brief description of teaching and learning methods:
Lectures supported by problem sheets.

Contact hours:
Ìý Autumn Spring Summer
Lectures 20
Guided independent study: 80
Ìý Ìý Ìý Ìý
Total hours by term 0 0
Ìý Ìý Ìý Ìý
Total hours for module 100

Summative Assessment Methods:
Method Percentage
Written exam 100

Summative assessment- Examinations:
2 hours

Summative assessment- Coursework and in-class tests:

Formative assessment methods:
Problem sheets.

Penalties for late submission:

The Support Centres will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
The University policy statement on penalties for late submission can be found at:
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:
A mark of 40% overall

Reassessment arrangements:

One examination paper of two hours duration in August/September.Ìý


Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 25 January 2021

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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