2011/12 Undergraduate Module Catalogue

MATH2200 Linear Algebra 2

10 Credits Class Size: 180

Module manager: Dr Peter Schuster
Email: pschust@maths.leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2011/12

Pre-requisites

MATH1015 Linear Algebra 1

Mutually Exclusive

MATH2080 Further Linear Algebra

This module is approved as an Elective

Module summary

This module carries on from Linear Algebra 1 (MATH 1015) and develops the concept of a linear transformation on an abstract vector space. These ideas are then applied to questions about 'changing variables' so as to obtain the simplest form of a matrix or a quadratic form.

Objectives

On completion of this module, students should be able to:
a) handle elementary arguments with linear independence, spanning, dimension, and sums of vector spaces over real, complex and finite fields;
b) represent a linear transformation by a matrix with respect to a given basis;
c) determine whether a matrix is diagonalisable and calculate its invariants such as the minimum polynomial;
d) perform standard calculations in real inner product spaces, including the Gram-Schmidt process;
e) diagonalise a quadratic form and determine its rank and signature;
f) show a grasp of the underlying theory by proving the main theorems in the course, and finding other elementary proofs.

Syllabus

1. Vector spaces, sums of subspaces, over the reals, complexes, or finite fields.
2. Linear transformations and representation of a linear transformation by a matrix. The AP = PB theorem.
3. Diagonalisation of a matrix. Cayley-Hamilton theorem and the minimum polynomial of a matrix. Jordan normal form.
4. Inner product and Euclidean spaces, orthogonal vectors and the Gram-Schmidt process.
5. Quadratic forms and diagonalisation of real and symmetric matrices.

Teaching Methods

Delivery type Number Length hours Student hours
Workshop 10 1 10
Lecture 22 1 22
Private study hours 68
Total Contact hours 32
Total hours (100hr per 10 credits) 100

Opportunities for Formative Feedback

Regular problem solving assignments

Methods of Assessment

Coursework
Assessment type Notes % of formal assessment
In-course Assessment . 15
Total percentage (Assessment Coursework) 15

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams
Exam type Exam duration % of formal assessment
Standard exam (closed essays, MCQs etc) 2.0 Hrs 0 Mins 85
Total percentage (Assessment Exams) 85

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading List

The reading list is available from the Library website

Last updated: 2/27/2012

Errors, omissions, failed links etc should be notified to the Catalogue Team