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Next: MA2111 Algebra I
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Previous: MA2101 Real Analysis
MA2102 Linear Algebra
Credits: 10 |
Convenor: Prof. S. C. Koenig |
Semester: 1 (weeks 1 to 6) |
Prerequisites: |
essential: MA1152(=MC147) |
|
Assessment: |
Coursework:Exam: 20:80% |
Examination: 0% |
Lectures: |
18 |
Problem Classes: |
5 |
Tutorials: |
none |
Private Study: |
47 |
Labs: |
none |
Seminars: |
none |
Project: |
none |
Other: |
none |
Surgeries: |
5 |
Total: |
75 |
Subject Knowledge
Aims
The aim of this module is to introduce the student to linear algebra from
a conceptual point of view, developing the introductory module MA1152.
It should enable the student to gain an appreciation of the importance of
mathematical structure and the theory of mappings which preserve that
structure. The group work aims to encourage mathematical thinking and
investigation of the material covered in this course.
Learning Outcomes
To know the definitions of and understand the key concepts introduced in
this module.
To understand, reconstruct and apply the main results and proofs covered in
the module.
To decide whether a vector space has a basis of eigenvectors
for a given linear transformation.
To choose a basis with respect to which
the matrix of a linear transformation has a particularly manageable form.
To work in a group context.
Methods
Lectures, problem classes and surgeries together with some handouts.
Assessment
Exam, marked problem sheets, group work.
Subject Skills
Aims
Being able to handle abstract concepts and apply them in concrete
examples.
Experience of working as part of a team.
Learning Outcomes
The development of abstract mathematics and the axiomatic method.
The application of mathematical principles and concepts to new situations.
Written presentation of mathematical arguments in a coherent
and logical form.
Use of techniques from the module to solve problems.
Methods
Lectures, problem classes, surgeries, group work.
Assessment
Exam, marked problem sheets, group work.
Explanation of Pre-requisites
The student will be assumed to be familiar with the
general notion of a vector space, and to understand
the concepts of spanning set, basis and linear independence.
Course Description
The course continues the study of linear algebra, taking
a more conceptual point of view than MA1152. There is a review
of some of the basic notions of vector spaces, linear independence,
spanning sets and bases. A detailed study
of linear transformations, their matrices and some of their major properties
then commences. A central theme is whether a vector space has
a basis consisting of eigenvectors for a given linear transformation,
or equivalently, whether it has a diagonal matrix with respect to a
suitable basis.
Syllabus
Review of definitions of field and vector space. Vector subspaces,
linear independence, spanning sets, basis and dimension.
Finite-dimensional spaces. Direct sum decompositions.
Linear transformations, and the kernel and image of a linear transformation.
Rank and nullity and their relationship.
The matrix of a linear transformation. Change of basis matrix.
Eigenvalues, eigenvectors and eigenspaces.
Characteristic polynomial (including some discussion of the fundamental
theorem of algebra and working over the complex field).
The Cayley-Hamilton theorem.
The minimum polynomial and its relationship to the characteristic
polynomial. Relationship between the minimum
polynomial and the existence of a basis of eigenvectors
and diagonalizability of matrices.
Reading list
Recommended:
R .B. J. T. Allenby,
Linear Algebra,
Edward Arnold.
C.W. Curtis,
Linear Algebra, an Introductory Approach,
Springer.
J .B. Fraleigh and R. B. Beauregard,
Linear Algebra, 3rd Ed.,
Addison-Wesley.
Background:
S. Andrilli and D. Hecker,
Elementary Linear Algebra, 2nd Ed.,
PWS-Kent.
H. Anton,
Elementary Linear Algebra,
Wiley.
W. K. Nicholson,
Linear Algebra, with Applications, 3rd Ed.,
PWS-Kent.
Resources
Lectures, problem sheets, surgeries, problem classes, additional handouts.
Module Evaluation
Module questionnaires, module review, year review.
Next: MA2111 Algebra I
Up: ModuleGuide03-04
Previous: MA2101 Real Analysis
Author: C. D. Coman, tel: +44 (0)116 252 3902
Last updated: 2004-02-21
MCS Web Maintainer
This document has been approved by the Head of Department.
© University of Leicester.