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Linear Algebra Springer Undergraduate Mathematics Series Pdf

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  • Springer Undergraduate Mathematics Series

  • Advisory Board M.A.J. Chaplain University of Dundee K. Erdmann Oxford University A.MacIntyre Queen Mary, University of London L.C.G. Rogers University of Cambridge E. Sli Oxford University J.F. Toland University of Bath

    Other books in this series A First Course in Discrete Mathematics I. Anderson Analytic Methods for Partial Differential Equations G. Evans, J. Blackledge, P. Yardley Applied Geometry for Computer Graphics and CAD, Second Edition D. Marsh Basic Linear Algebra, Second Edition T.S. Blyth and E.F. Robertson Basic Stochastic Processes Z. Brze niak and T. Zastawniak Calculus of One Variable K.E. Hirst Complex Analysis J.M. Howie Elementary Differential Geometry A. Pressley Elementary Number Theory G.A. Jones and J.M. Jones Elements of Abstract Analysis M. Searcid Elements of Logic via Numbers and Sets D.L. Johnson Essential Mathematical Biology N.F. Britton Essential Topology M.D. Crossley Fields and Galois Theory J.M. Howie Fields, Flows and Waves: An Introduction to Continuum Models D.F. Parker Further Linear Algebra T.S. Blyth and E.F. Robertson Game Theory: Decisions, Interaction and Evolution J.N. Webb General Relativity N.M.J. Woodhouse Geometry R. Fenn Groups, Rings and Fields D.A.R. Wallace Hyperbolic Geometry, Second Edition J.W. Anderson Information and Coding Theory G.A. Jones and J.M. Jones Introduction to Laplace Transforms and Fourier Series P.P.G. Dyke Introduction to Lie Algebras K. Erdmann and M.J. Wildon Introduction to Ring Theory P.M. Cohn Introductory Mathematics: Algebra and Analysis G. Smith Linear Functional Analysis 2nd edition B.P. Rynne and M.A. Youngson Mathematics for Finance: An Introduction to Financial Engineering M. Capi ksi and T. Zastawniak Metric Spaces M. Searcid Matrix Groups: An Introduction to Lie Group Theory A. Baker Measure, Integral and Probability, Second Edition M. Capi ksi and E. Kopp Multivariate Calculus and Geometry, Second Edition S. Dineen Numerical Methods for Partial Differential Equations G. Evans, J. Blackledge, P.Yardley Probability Models J.Haigh Real Analysis J.M. Howie Sets, Logic and Categories P. Cameron Special Relativity N.M.J. Woodhouse Sturm-Liouville Theory and its Applications: M.A. Al-Gwaiz Symmetries D.L. Johnson Topics in Group Theory G. Smith and O. Tabachnikova Vector Calculus P.C. Matthews Worlds Out of Nothing: A Course in the History of Geometry in the 19th Century J. Gray

  • Bryan P. Rynne and Martin A. Youngson

    Linear

    Analysis

    Second Edition

    Functional

  • Bryan P. Rynne, BSc, PhD Department of Mathematics and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK

    Martin A. Youngson, BSc, PhD Department of Mathematics and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK

    Cover illustration elements reproduced by kind permission of: Aptech Systems, Inc., Publishers of the GAUSS Mathematical and Statistical System, 23804 S.E. Kent-Kangley Road, Maple Valley, WA 98038,

    USA. Tel: (206) 432 - 7855 Fax (206) 432 - 7832 email: info@aptech.com URL: www.aptech.com. American Statistical Association: Chance Vol 8 No 1, 1995 article by KS and KW Heiner Tree Rings of the Northern Shawangunks page 32 fig 2. Springer-Verlag: Mathematica in Education and Research Vol 4 Issue 3 1995 article by Roman E Maeder, Beatrice Amrhein and Oliver Gloor

    Illustrated Mathematics: Visualization of Mathematical Objects page 9 fig 11, originally published as a CD ROM Illustrated Mathematics by TELOS: ISBN 0-387-14222-3, German edition by Birkhauser: ISBN 3-7643-5100-4.

    Mathematica in Education and Research Vol 4 Issue 3 1995 article by Richard J Gaylord and Kazume Nishidate Traffic Engineering with Cellular Automata page 35 fig 2. Mathematica in Education and Research Vol 5 Issue 2 1996 article by Michael Trott The Implicitization of a Trefoil Knot page 14.

    Mathematica in Education and Research Vol 5 Issue 2 1996 article by Lee de Cola Coins, Trees, Bars and Bells: Simulation of the Binomial Pro- cess page 19 fig 3. Mathematica in Education and Research Vol 5 Issue 2 1996 article by Richard Gaylord and Kazume Nishidate Contagious Spreading page 33 fig 1. Mathematica in Education and Research Vol 5 Issue 2 1996 article by Joe Buhler and Stan Wagon Secrets of the Madelung Constant page 50 fig 1.

    Mathematics Subject Classification (2000): 46-01 British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2007936188 Springer Undergraduate Mathematics Series ISSN 1615-2085 ISBN 978-1-84800-004-9 e-ISBN 978-1-84800-005-6 1st edition ISBN-13: 978-1-85233-257-0 Printed on acid-free paper Springer-Verlag London Limited 2008 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. 9 8 7 6 5 4 3 2 1 Springer Science+Business Media springer.com

  • Preface

    This book provides an introduction to the ideas and methods of linear func-tional analysis at a level appropriate to the final year of an undergraduatecourse at a British university. The prerequisites for reading it are a standardundergraduate knowledge of linear algebra and real analysis (including the the-ory of metric spaces).

    Part of the development of functional analysis can be traced to attemptsto find a suitable framework in which to discuss differential and integralequations. Often, the appropriate setting turned out to be a vector space ofreal or complex-valued functions defined on some set. In general, such a vec-tor space is infinite-dimensional. This leads to difficulties in that, althoughmany of the elementary properties of finite-dimensional vector spaces hold ininfinite-dimensional vector spaces, many others do not. For example, in generalinfinite-dimensional vector spaces there is no framework in which to make senseof analytic concepts such as convergence and continuity. Nevertheless, on thespaces of most interest to us there is often a norm (which extends the idea ofthe length of a vector to a somewhat more abstract setting). Since a norm on avector space gives rise to a metric on the space, it is now possible to do analysisin the space. As real or complex-valued functions are often called functionals,the term functional analysis came to be used for this topic.

    We now briefly outline the contents of the book. In Chapter 1 we present(for reference and to establish our notation) various basic ideas that will be re-quired throughout the book. Specifically, we discuss the results from elementarylinear algebra and the basic theory of metric spaces which will be required inlater chapters. We also give a brief summary of the elements of the theory ofLebesgue measure and integration. Of the three topics discussed in this introduc-tory chapter, Lebesgue integration is undoubtedly the most technically difficultand the one which the prospective reader is least likely to have encountered

    V

  • VI Preface

    before. Unfortunately, many of the most important spaces which arise in func-tional analysis are spaces of integrable functions, and it is necessary to use theLebesgue integral to overcome various drawbacks of the elementary Riemannintegral, commonly taught in real analysis courses. The reader who has not metLebesgue integration before can still read this book by accepting that an inte-gration process exists which coincides with the Riemann integral when this isdefined, but extends to a larger class of functions, and which has the propertiesdescribed in Section 1.3.

    In Chapter 2 we discuss the fundamental concept of functional analysis, thenormed vector space. As mentioned above, a norm on a vector space is simply anextension of the idea of the length of a vector to a rather more abstract setting.Via an associated metric, the norm is behind all the discussion of convergenceand continuity in vector spaces in this book. The basic properties of normedvector spaces are described in this chapter. In particular we begin the study ofBanach spaces which are complete normed vector spaces.

    In finite dimensions, in addition to the length of a vector, the angle betweentwo vectors is also used. To extend this to more abstract spaces the idea ofan inner product on a vector space is introduced. This generalizes the well-known dot product used in R3. Inner product spaces, which are vector spacespossessing an inner product, are discussed in Chapter 3. Every inner productspace is a normed space and, as in Chapter 2, we find that the most importantinner product spaces are those which are complete. These are called Hilbertspaces.

    Having discussed various properties of infinite-dimensional vector spaces,the next step is to look at linear transformatio

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Linear Algebra Springer Undergraduate Mathematics Series Pdf

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