- Student Records
Programme & Unit Catalogues

 

Department of Mathematical Sciences, Unit Catalogue 2009/10


MA40043: Real & abstract analysis

Click here for further information Credits: 6
Click here for further information Level: Masters
Click here for further information Period: Semester 1
Click here for further information Assessment: EX 100%
Click here for further informationSupplementary Assessment: Like-for-like reassessment (where allowed by programme regulations)
Click here for further information Requisites: Before taking this unit you must take MA20007 and take MA20008 and take MA20011 and take MA20012 and while taking this unit you must take MA30041
Description:
Aims & Learning Objectives:
Aims - To introduce and study abstract spaces and general ideas in analysis, to apply them to examples, and to lay the foundations for the level 4 unit in functional analysis.
Objectives - By the end of the unit, students should be able to state and prove the principal theorems relating to uniform continuity and uniform convergence for real functions on metric spaces, compactness in spaces of continuous functions, and elementary Hilbert space theory, and to apply these notions and the theorems to simple examples.

Content:
Topics will be chosen from the following: Uniform continuity and uniform limits of continuous functions on [0,1]. Abstract Stone-Weierstrass Theorem. Uniform approximation of continuous functions. Polynomial and trigonometric polynomial approximation, separability of C[0,1]. Total Boundedness. Diagonalisation. Ascoli-Arzelà Theorem. Complete metric spaces. Baire Category Theorem. Nowhere differentiable function. Metric completion M of a metric space M. Real inner-product spaces. Hilbert spaces. Cauchy-Schwarz inequality, parallelogram identity. Examples: l2,L2[0,1]:=C[0,1]. Separability of L2. Orthogonality, Gram-Schmidt process. Bessel's inquality, Pythagoras' Theorem. Projections and subspaces. Orthogonal complements. Riesz Representation Theorem. Complete orthonormal sets in separable Hilbert spaces. Completeness of trigonometric polynomials in L2 [0,1]. Fourier Series.
NB. Programmes and units are subject to change at any time, in accordance with normal University procedures.