Skip to main content Skip to navigation

MA266-10 Multilinear Algebra

Department
Warwick Mathematics Institute
Level
Undergraduate Level 2
Module leader
Dmitriy Rumynin
Credit value
10
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry
Introductory description

It is a second Linear Algebra module, where advanced linear algebra concepts are rigorously developed for students familiar with algebraic tools.

Module aims

It will continue the study of linear algebra, which was begun in Year 1, having benefited from students finishing Abstract Algebra (Algebra-3 or Groups and Rings) in term 1.

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.

Liner maps: Jordan Normal form, Cayley-Hamilton theorem, primary decomposition, functions of matrices
Quadratic forms over R and C: orthonormal basis, Gram-Schmidt process, diagonalisation, singular value decomposition, hermitian forms and normal matrices
Tensors: tensor product of vector spaces as a quotient of the free vector space, universal mapping property, its basis, (n,k)-tensor on a vector space, change of basis
Further topics: dual space, dual linear map, bilinear forms, skew-symmetric forms, determinant, Darboux Theorem, Witt Extension Theorem, free associative algebra and tensor algebra, other algebras (exterior, symmetric, Clifford).

Learning outcomes

By the end of the module, students should be able to:

  • develop full command of the theory and computation of the the Jordan canonical form of matrices and linear maps
  • learn how to define and to compute functions of matrices
  • develop the working knowledge of bilinear forms and quadratic forms
  • master the concept of tensor and get proficient manipulating tensors
Indicative reading list

P M Cohn, Algebra, Vol. 1, Wiley, 1982
I N Herstein, Topics in Algebra, Wiley, 1975
Jörg Liesen and Volker Mehrmann, Linear Algebra, Springer, 2015
Peter Petersen, Linear Algebra , Springer, 2012
F. Gantmacher, The Theory of Matrices, American Mathematical Society, 2001

Subject specific skills

This module teaches students to carry out 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. After that the module introduces the notion of tensor, treating them rigorously.

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 20 sessions of 1 hour (20%)
Online learning (independent) 9 sessions of 1 hour (9%)
Private study 13 hours (13%)
Assessment 58 hours (58%)
Total 100 hours
Private study description

Working on assignments, going over lecture notes, text books, exam revision.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group D
Weighting Study time
Assignments 15% 20 hours
Examination 85% 38 hours
  • Answerbook Pink (12 page)
Assessment group R
Weighting Study time
In-person Examination - Resit 100%
Feedback on assessment

Marked homework (both assessed and formative) is returned and discussed in smaller classes. Exam feedback is given.

Past exam papers for MA266

Courses

This module is Core for:

  • Year 2 of UMAA-G105 Undergraduate Master of Mathematics (with Intercalated Year)
  • UMAA-G103 Undergraduate Mathematics (MMath)
    • Year 2 of G103 Mathematics (MMath)
    • Year 2 of G103 Mathematics (MMath)
  • UMAA-GV17 Undergraduate Mathematics and Philosophy
    • Year 2 of GV17 Mathematics and Philosophy
    • Year 2 of GV17 Mathematics and Philosophy
    • Year 2 of GV17 Mathematics and Philosophy
  • Year 2 of UMAA-GV19 Undergraduate Mathematics and Philosophy with Specialism in Logic and Foundations

This module is Core optional for:

  • UMAA-G100 Undergraduate Mathematics (BSc)
    • Year 2 of G100 Mathematics
    • Year 2 of G100 Mathematics
    • Year 2 of G100 Mathematics
  • Year 2 of UMAA-G103 Undergraduate Mathematics (MMath)
  • Year 2 of UMAA-G1NC Undergraduate Mathematics and Business Studies
  • Year 2 of UMAA-G1N2 Undergraduate Mathematics and Business Studies (with Intercalated Year)
  • Year 2 of UMAA-G101 Undergraduate Mathematics with Intercalated Year

This module is Option list A for:

  • Year 2 of UMAA-GL11 Undergraduate Mathematics and Economics
  • Year 2 of UECA-GL12 Undergraduate Mathematics and Economics (with Intercalated Year)
  • UPXA-GF13 Undergraduate Mathematics and Physics (BSc)
    • Year 2 of GF13 Mathematics and Physics
    • Year 2 of GF13 Mathematics and Physics
  • UPXA-FG31 Undergraduate Mathematics and Physics (MMathPhys)
    • Year 2 of FG31 Mathematics and Physics (MMathPhys)
    • Year 2 of FG31 Mathematics and Physics (MMathPhys)
  • USTA-GG14 Undergraduate Mathematics and Statistics (BSc)
    • Year 2 of GG14 Mathematics and Statistics
    • Year 2 of GG14 Mathematics and Statistics

This module is Option list B for:

  • UCSA-G4G1 Undergraduate Discrete Mathematics
    • Year 2 of G4G1 Discrete Mathematics
    • Year 2 of G4G1 Discrete Mathematics
  • Year 2 of UCSA-G4G3 Undergraduate Discrete Mathematics
  • USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics
    • Year 2 of Y602 Mathematics,Operational Research,Stats,Economics
    • Year 2 of Y602 Mathematics,Operational Research,Stats,Economics