LIE ALGEBRAS - 2023/4
Module code: MATM011
This module develops students’ appreciation of algebraic structure through a study of Lie algebras and their matrix representations.
FISHER David (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: 113
Lecture Hours: 1
Guided Learning: 35
Captured Content: 1
Prerequisites / Co-requisites
MAT1034 Linear Algebra
Indicative content includes:
- Lie groups as a motivation for Lie algebras
- Lie algebras, subalgebras, ideals, quotient algebras, direct sums
- Derivations, homomorphisms and automorphisms of Lie algebras
- Representations of Lie algebras.
- Nilpotency, solvability, simplicity and semisimplicity.
- Engel’s Theorem and Lie’s Theorem.
- The Killing form. Cartan’s criteria.
- The Levi decomposition.
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||In-Semester Test (50min)||20|
|Examination||Final Examination (2hr)||80|
The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to
· construct and interpret mathematical arguments in the context of this module;
· display subject knowledge by recalling key definitions and results;
· apply the techniques learnt to both routine and unfamiliar problems.
Thus, the summative assessment for this module consists of:
· One In-semester test, worth 20% of the module mark.
· One two-hour examination at the end of the semester, worth 80% of the module mark
Formative assessment and feedback
Students receive written comments on their marked test and coursework assignments. Verbal feedback is provided in meetings and office hours.
- enhance students' appreciation of abstract algebraic structure theory,
- develop an understanding of Lie algebras and related concepts,
- provide a foundation for independent study of algebraic topics.
|1||Know the definitions and properties of Lie algebras, subalgebras, ideals, homomorphisms and automorphisims||K|
|2||Be familiar with standard examples of Lie algebras and their representations by matrices||KC|
|3||Appreciate the relationships between the structures studied in this module and those encountered in previous algebraic modules||KCT|
|4||Understand the concepts of nilpotent, solvable, semisimple and simple Lie algebras, and know criteria for these properties||KC|
|5||Devise solutions of algebraic problems involving the concepts studied||KC|
|6||Read and interpret varying presentations of the material, e.g. in research papers,||CT|
|7||Construct simple proofs similar to those encountered in the module||KCT|
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:
- An enhanced awareness of the theory and applications of abstract algebra
- Experience of the methods used to interpret, understand and solve problems in the topics covered.
The learning and teaching methods include:
- Weekly meetings for interactive discussion and tutorials, providing personal assistance to individuals.
- Online notes supplemented by additional examples in lectures.
- Unassessed coursework consisting of exercises from the 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: MATM011
Programmes this module appears in
|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 with Statistics MMath||1||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Mathematics MSc||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|
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 2023/4 academic year.