MA251-12 Algebra I: Advanced Linear Algebra
Introductory description
This module is a continuation of First Year Linear Algebra.
Module aims
To develop further and to continue the study of linear algebra, which was begun in Year 1 and to point out and briefly discuss applications of the techniques developed to other branches of mathematics, physics, etc.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
This module is a continuation of First Year Linear Algebra. In that course we studied conditions under which a matrix is similar to a diagonal matrix, but we did not develop methods for testing whether two general matrices are similar. Our first aim is to fill this gap for matrices over . Not all matrices are similar to a diagonal matrix, but they are all similar to one in Jordan canonical form; that is, to a matrix which is almost diagonal, but may have some entries equal to 1 on the superdiagonal.
We next study quadratic forms. A quadratic form is a homogeneous quadratic expression in several variables. Quadratic forms occur in geometry as the equation of a quadratic cone, or as the leading term of the equation of a plane conic or a quadric hypersurface. By a change of coordinates, we can always write in the diagonal form q(x). For a quadratic form over R , the number of positive or negative diagonal coefficients is an invariant of the quadratic form which is very important in applications.
Finally, we study matrices over the integers, and investigate what happens when we restrict methods of linear algebra, such as elementary row and column operations, to operations over Z. This leads, perhaps unexpectedly, to a complete classification of finitely generated abelian groups.
Learning outcomes
By the end of the module, students should be able to:
- By the end of the module students should be familiar with: the theory and computation of the the Jordan canonical form of matrices and linear maps; bilinear forms, quadratic forms, and choosing canonical bases for these; the theory and computation of the Smith normal form for matrices over the integers, and its application to finitely generated abelian groups.
Indicative reading list
P M Cohn, Algebra, Vol. 1, Wiley
I N Herstein, Topics in Algebra, Wiley.
Subject specific skills
This module teaches students how to carry out a number of fundamental calculations with matrices, including the theory and computation of the Jordan canonical form of matrices and linear maps; bilinear forms, diagonalizing quadratic forms, and choosing canonical bases for these; the theory and computation of the Smith normal form for matrices over the integers, and its application to finitely generated abelian groups.
Transferable skills
The algorithmic techniques taught have widespread "real world" applications. Examples include ranking in search engines, linear programming and optimisation, signal analysis, and graphics.
To also include: clear and precise thinking; the ability to follow complex reasoning; constructing logical arguments, and exposing illogical ones; and formulating problems as algorithms, thereby enhancing understanding of details and rendering them suitable for computer implementation.
Study time
Type | Required |
---|---|
Lectures | 30 sessions of 1 hour (61%) |
Tutorials | 9 sessions of 1 hour (18%) |
Other activity | 10 hours (20%) |
Total | 49 hours |
Private study description
Review lectured material and work on set exercises.
Other activity description
Collaborative project
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Assessment group D2
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Assignment | 15% | No | |
Five assignments given |
|||
In-person Examination | 85% | No | |
2 hour exam, no books allowed
|
Assessment group R
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
In-person Examination - Resit | 100% | No | |
|
Assessment group S
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Assignment | 15% | No | |
In-person Examination | 85% | No | |
|
Feedback on assessment
Marked assignments and exam feedback
Courses
This module is Core for:
- Year 2 of UMAA-G106 Undergraduate Mathematics (MMath) with Study in Europe
This module is Core optional for:
- Year 2 of UMAA-GV17 Undergraduate Mathematics and Philosophy
- Year 2 of UMAA-GV18 Undergraduate Mathematics and Philosophy with Intercalated Year
This module is Optional for:
- Year 3 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
This module is Core option list C for:
- Year 2 of UMAA-GV19 Undergraduate Mathematics and Philosophy with Specialism in Logic and Foundations
This module is Option list A for:
- Year 2 of UPXA-FG33 Undergraduate Mathematics and Physics (BSc MMathPhys)
This module is Option list B for:
- Year 2 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 3 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
- Year 4 of USTA-G1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
- Year 3 of USTA-GG14 Undergraduate Mathematics and Statistics (BSc)
- Year 4 of USTA-GG17 Undergraduate Mathematics and Statistics (with Intercalated Year)
- Year 3 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics
- Year 4 of USTA-Y603 Undergraduate Mathematics,Operational Research,Statistics,Economics (with Intercalated Year)
This module is Option list E for:
- Year 3 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
-
USTA-G301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
- Year 3 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
- Year 4 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)