Faculty of Mathematic Handbook,1987 - University of Newcastle
Faculty of Mathematic Handbook,1987 - University of Newcastle
Faculty of Mathematic Handbook,1987 - University of Newcastle
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Kolmogorov, A.N. &<br />
Fomin, S.Y.<br />
Munroe, M.E.<br />
663204 Topic W • Functional Analysis - J.R. Giles<br />
Prerequisites<br />
Hours<br />
Examination<br />
Content<br />
Introductory Real Analysis (prentice-Hall 1970)<br />
Introduction to Measure and Integration (Addison<br />
Wesley 1953)<br />
Topics B, CO, D, K. L<br />
2 lecture hours and 1 tutorial hour per week for<br />
1st half year<br />
One 2-hour paper<br />
Hilbert space, the geometry <strong>of</strong> the space and the representation <strong>of</strong> continuous linear<br />
functionals. Operators on Hilbert space, adjoint, self-adjoint and projection operators.<br />
Complete orthonormal sets and Fourier analysis on Hilbert space.<br />
Banach spaces, topological and isometric isomorphisms, finite dimensional spaces and<br />
their properties. Dual spaces, the Hahn-Banach Theorem and reflexivity. Spaces <strong>of</strong><br />
operators, conjugate operators.<br />
Text<br />
Giles, J.R.<br />
References<br />
Banach, S.<br />
Brown, A.L. & Page, A.<br />
Giles, J.R.<br />
Kolmogorov, A.N. &<br />
Fomin, S.Y.<br />
Kceysig, E.<br />
Liustemik, L.A. & Sobolev, U.l.<br />
Simmons, G.F.<br />
Taylor, A.E.<br />
Wilansky, A.<br />
Analysis <strong>of</strong> Normed Linear Spaces (<strong>University</strong> <strong>of</strong><br />
<strong>Newcastle</strong> 1978)<br />
663217 Topic X • Fields and Equations - R.F. Berghout<br />
Prerequisites<br />
Hours<br />
Examination<br />
Content<br />
Theorie des Operations Lineaires 2nd edn (Chelsea)<br />
Elements <strong>of</strong> Functional Analysis (Van Nostrand 1970)<br />
Analysis <strong>of</strong> Metric Spaces (<strong>University</strong> <strong>of</strong> <strong>Newcastle</strong> 1975)<br />
Elements <strong>of</strong> the Theory <strong>of</strong> Functions and Functional<br />
Analysis Yoll (Grayloch 1957)<br />
Introductory Functional Analysis with Applications<br />
(WHey 1978)<br />
Elements <strong>of</strong> Functional Analysis (Frederick Unger 1961)<br />
Introduction to Topology and Modern Analysis<br />
(McGraw-Hill 1963)<br />
Introduction to Functional Analysis (Wiley 1958)<br />
Functional Analysis (Blaisdell 1964)<br />
Topics D & K<br />
1 lecture hour per week and 1 tutorial hour per<br />
fortnight<br />
One 2-hour paper<br />
In this topic we will study the origin and solution <strong>of</strong> polynomial equations and their<br />
relationships with classical geometrical problems such as duplication <strong>of</strong> the cube and<br />
trisection <strong>of</strong> angles. It will further examine the relations between the roots and<br />
coefficients <strong>of</strong> equations, relations which gave rise to Galois theory and the theory <strong>of</strong><br />
extension fields. We will learn why equations <strong>of</strong> degree 5 and higher cannot be solved<br />
by radicals, and what the implications <strong>of</strong> this fact are for algebra and numerical analysis.<br />
7.<br />
Text<br />
References<br />
Bickh<strong>of</strong>f, G.D. & Macl.ane, S.<br />
Edwards, H.M.<br />
Herstein, IN.<br />
Kaplansky, 1<br />
Stewart, 1<br />
Nil<br />
A Survey <strong>of</strong> Modern Algebra (Macmillan 1953)<br />
Galois Theory (Springer 1984)<br />
Topics in Algebra (Wiley 1975)<br />
Fields and Rings (Chicago 1969)<br />
Galois Theory (Chapman & Hall 1973)<br />
663207 Topic Z • <strong>Mathematic</strong>al Principles <strong>of</strong> Numerical Analysis· W.P. Wood<br />
Prerequisites<br />
Hours<br />
Examination<br />
Content<br />
Topics CO and 0; High-level language programming<br />
ability is assumed.<br />
2 lecture hours and 1 tutorial hour per week for<br />
2nd half year<br />
One 2-hour paper<br />
Solution <strong>of</strong> linear systems <strong>of</strong> algebraic equations by direct and linear iterative methods;<br />
particular attention will be given to the influence <strong>of</strong> various types <strong>of</strong> errors on the<br />
numerical result, to the general theory <strong>of</strong> convergence <strong>of</strong> the latter class <strong>of</strong> methods and<br />
to the concept <strong>of</strong> "condition" <strong>of</strong> a system. Solution by both one step and multistep<br />
methods <strong>of</strong> initial value problems involving ordinary differential equations. Investigation<br />
<strong>of</strong> stability <strong>of</strong> linear marching schemes. Boundary value problems. Finite-difference and<br />
finite-element methods <strong>of</strong> solution <strong>of</strong> partial differential equations. If time permits, other<br />
numerical analysis problems such as integration, solution <strong>of</strong> non-linear equations etc. will<br />
be treated.<br />
Text<br />
Burden, R.L. &<br />
Faires, J.D.<br />
References<br />
Atkinson, K.E.<br />
Ames, W.F.<br />
Cohen, A.M. et al.<br />
Conte, S.D. &<br />
de Boor, C.<br />
Forsythe, O.E., Malcolm, M.A.<br />
& Moler, C.B.<br />
Isaacson, E. & Keller, H.M.<br />
Lambert, J.D. &<br />
Wait, R.<br />
Mitchell, A.R. &<br />
Wait, R.<br />
Pizer, S.M. &<br />
Wallace, V.L.<br />
Smith, G.p.<br />
Numerical Analysis 3rd edn (Prindle,<br />
Weber & Schmidt 1985)<br />
An Introduction to Numerical Analysis (Wiley 1978)<br />
Numerical Methods for Partial Differential Equations<br />
(Nelson 1969)<br />
Numerical Analysis (McGraw-HilI 1973)<br />
Elementary Numerical Analysis 3rd edn<br />
(McGraw-Hill 1980)<br />
Computer Methods for <strong>Mathematic</strong>al Computations<br />
(prentice-Hall 1977)<br />
Analysis <strong>of</strong> Numerical Methods (Wiley 1966)<br />
Computational Methods in Ordinary Differential<br />
Equations (Wiley 1973)<br />
The Finite Element Method in Partial<br />
Differential Equations (Wiley 1977)<br />
To Compute Numerically: Concepts and Strategies<br />
(Little, Brown & Co. 1983)<br />
Numerical Solution <strong>of</strong> Partial Differential Equations:<br />
Finite Difference Methods (Oxford 1978)<br />
77