REPRESENTATION THEORY - 2022/3
Module code: MATM035
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Symmetries are a powerful method for easily understanding properties of otherwise complicated mathematical and physical objects. Group theory is a branch of mathematics developed to understand symmetries, however it often leads to complicated abstract quantities. Group representation theory turns such abstract algebraic concepts into linear transformations of vector spaces, a much easier system to solve. In doing, representation theory can unveil deep symmetry properties of physical systems as well as leading to powerful and compact solutions to otherwise difficult and intractable problems.
NIETO GARCIA Juan (Maths)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: G100
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 106
Lecture Hours: 11
Seminar Hours: 11
Guided Learning: 11
Captured Content: 11
Prerequisites / Co-requisites
1. Symmetry and finite groups: review of group theory definitions, subgroups, cyclic groups, cosets, conjugacy elements and classes.
2. Representation theory basics: definitions, Schur's lemma, reducible and irreducible representations, orthogonality theorems, decomposition of reducible representations. Example representations of finite groups.
3. Lie groups and algebras: generators, Jacobi identity, Lie algebra, adjoint representation, exponentiation
4. SU(2): definition, representations, raising and lowering operators
5. Roots and weights: weights, roots, raising and lowering, su(3)
6. Dynkin diagrams and simple roots: positive weights, simple roots, Dynkin diagrams
7. Physical applications: quantum mechanics.
|Assessment type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||ONLINE TEST||20|
|Examination Online||ONLINE EXAM||80|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
· Understanding of and ability to interpret and manipulate mathematical statements.
· Subject knowledge through the recall of key definitions, theorems and their proofs.
· Analytical ability through the solution of unseen problems in the test and exam.
Thus, the summative assessment for this module consists of:
· One two-hour examination at the end of the Semester; worth 80% of the module mark.
· An in-semester test worth 20% of the module mark when combined together.
Formative assessment and feedback
Students receive written feedback via a number of un-assessed coursework assignments over the 11-week period. Students are then encouraged to arrange meetings with the module convener for verbal feedback.
- Introduce the concept of a group representation.
- Construct representations of finite groups and some simple examples of Lie groups and algebras.
- Develop the concept of Dynkin diagrams and it to construct representations of Lie algebras.
- Illustrate these concepts in physical systems.
|001||Understand the concepts, theorems and techniques of group representation theory.||K|
|002||Have a clear understanding of how to construct irreducible representations of groups.||CT|
|003||Be able to explicitly apply the theory to small order groups.||CT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to provide:
- A detailed introduction to the relevant group theory and representation theory
- Experience the methods used to interpret, understand and solve concrete problems, especially for small order groups
The learning and teaching methods include:
- 3 x 1 hour lectures per week x 11 weeks, with black/whiteboard written notes to supplement the module notes.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MATM035
Programmes this module appears in
|Mathematics MSc||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics and Physics MPhys||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics and Physics MMath||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics MMath||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics with Statistics MMath||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.