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2007/8 Module Catalogue
 Module Code: MAT3004 Module Title: INTRODUCTION TO FUNCTION SPACES
Module Provider: Mathematics Short Name: MS310 Previous Short Name: MS310
Level: HE3 Module Co-ordinator: BRUIN HP Dr (Maths)
Number of credits: 15 Number of ECTS credits: 7.5
 
Module Delivery

Autumn semester

Assessment Requirements

Unit(s) of Assessment

 

Weighting Towards Module Mark( %)

 

Coursework (closed book class tests and exercises).

 

25%

 

Written examination (2 hours, unseen).

 

75%

 

     

 

     

 

     

 

     

 

     

 

     

 

Qualifying Condition(s) 

 

     

 

 

 

Module Overview
Prerequisites/Co-requisites

MS113 Linear Algebra, MS202 Introduction to Metric Spaces

Module Aims

The objectives are to introduce the students to the concept of a Hilbert space, which generalises Euclidean space to infinite dimensions, to introduce analysis and operators in a Hilbert space, and to indicate the range of applications where such concepts are needed.

Learning Outcomes

At the end of the module the student should have

  • a firm understanding of the concept of a function space, the basics of Hilbert spaces, the basic properties of operators acting on these spaces, as well as the basics of unbounded operators on a Hilbert space.
  • a grasp of the importance of the concept of function spaces in applications, particularly in the analysis of differential and integral equations.
Module Content

The contents of the lectures will include:

 

·         Metric and normed spaces, their definitions and basic examples, including Euclidean space, discrete metric, and the L1 and L2-norm.

 

·         Open and closed sets, Cauchy and convergent sequences, completeness.

 

·         Pointwise versus uniform convergence and uniform limits of continuous functions.

 

·         Fixed points and the Contraction Mapping Theorem; applications to e.g. ( Newton ) iteration, the Implicit Function Theorem and existence of solutions of ODEs.

 

·         Inner product spaces, their definition and basic examples. Cauchy-Schwarz inequality and parallelogram law.

 

·         Orthogonal systems, Bessel’s inequality.

Fourier analysis and applications (such as the wave equation).

Methods of Teaching/Learning

Teaching is by lectures, tutorials, discussion sessions and suggestions for study in the course texts. Learning takes place through lectures, tutorials, discussion sessions, exercises and study of the course texts and background reading.

3 hours of lectures/tutorials/example classes per week for 10 weeks.

Selected Texts/Journals

K. Saxe, Beginning Functional Analysis, Springer, (2001).

 

 

E. Kreyszig, Introductory Functional Analysis with Applications, Wiley (1978).

 

V. Bryant, Metric Spaces: Iteration and Application, Cambridge University Press (1985).

 

J.E. Marsden, Elementary Classical Analysis, W.H. Freeman & Co. (1974).

Last Updated

31 July 2007