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Mathematical Analysis Fundamentals Mathematical Analysis Fundamentals A. E. Bashirov Department of Mathematics, Eastern Mediterranean University, Turkey and Institute of Cybernetics, ANAS, Baku, Azerbaijan E-mail: [email protected] AMSTERDAM • BOSTON • HEIDELBERG • LONDON • NEW YORK • OXFORD PARIS • SAN DIEGO • SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Elsevier 32 Jamestown Road, London NW1 7BY 225 Wyman Street, Waltham, MA 02451, USA First edition 2014 Copyright © 2014 Elsevier Inc. All rights reserved No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangement with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein) Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility. To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data A catalog record for this book is available from the Library of Congress ISBN: 978-0-12-801001-3 For information on all Elsevier publications visit our website at store.elsevier.com This book has been manufactured using Print On Demand technology. Each copy is produced to order and is limited to black ink. The online version of this book will show color figures where appropriate. Dedicated to Professor Arif Babayev Preface Roughly speaking, analysis covers more than half of the whole of mathematics. It includes the topics following the limit operation and provides a strong basis for applications of mathematics. Its starting part in the educational process, mathematical analysis, deals with the issues concentrated around continuity. Many books have been written on mathematical analysis. The list includes a wide spectrum of topics from differential and integral calculus for engineers to the highest mathematical standards such as the books Treatise on Modern Analysis by Dieudonne1 and Principles of Mathematical Analysis by Rudin.2 This book occupies a wide range in this spectrum. Its narrower audience includes those who are more or less familiar with differential and integral calculus and would like to get a stronger mathematical background, but the wider audience covers everyone who wants to get rigorous fundamentals in analysis. Therefore, it is suggested as a real analysis textbook for second- or third-year students who have studied differential and integral calculus their first year. At the same time it may serve as a real analysis textbook for first-year stu- dents of mathematical departments. At present, the worldwide number of students is significantly large and is continu- ously increasing. As a result, the level of an average freshman student is low and is going to get lower. Currently, the classic method of teaching analysis on the rigorous level from the beginning may be acceptable in a restricted number of universities. A large number of universities make a compromise by teaching calculus (i.e., calcu- lation-based analysis) during freshman year and then set up rigorous mathematical analysis during sophomore or junior years. This is a solution to the problem, but it creates an educational problem. It is not easy to change the orientation of sophomore or junior students from the problems of calculation nature, which are typical for cal- culus, to rigorous mathematical analysis. This book aims to serve as a transition from calculus to rigorous analysis. There have been several books written for this purpose. An important point in writing such a book is to offer a proper transition rate from elementary calculus to rigorous analysis. In my opinion, most of the existing books for this purpose either start from an elementary level and then slightly increase to an intermediate level, or start from an intermediate or upper intermediate level and quickly progress to an advanced level. The books of the first kind are not able to cover many useful topics 1 Jean Alexander Ejen Dieudonne (1906–1992), French mathematician. He was one of the active members of the group of m athematicians developing modern mathematics on the basis of an axiomatic approach and publishing books under the pseudonym Nicolas Bourbaki. 2 Walter Rudin (1921–2010), U.S. mathematician. His books are very popular in the mathematical community. xii Preface in analysis, and those of the second kind do not provide a sufficiently smooth transi- tion from calculus to analysis. The goal in this book is a rigorous presentation of the fundamentals of analysis, starting from an elementary level and smoothly increasing up to an advanced level. Familiarity with calculus is not a prerequisite for this book. Rather it is a disad- vantage with an orientation to the problems of calculation nature. A reorientation to mathematically rigorous analysis needs effort, especially in starting chapters. Basic features of this book can be summarized as follows: • The level of presentation increases, from simple to rigorous throughout the book as well as within chapters. • The sequence of abstract reasoning is on the first place. In particular, the principle of early transcendental functions, which is popular for early creation of valuable examples, is disregarded. • Normally, high-level books on analysis do not contain any interpretation with illustrations, encouraging an analytic way of understanding the subjects. Being familiar with calculus disregards this principle and, therefore, this book widely uses graphical interpretations. • The book invites the reader to think abstractly. Each chapter has a list of exer- cises, which are mainly designed to clarify the meanings of the definitions and theorems, to force understanding the proofs, and to call attention to points in the proofs that might be overlooked. • One of the aims is to fill the gaps preceding analysis, such as through a clear understanding of sets, an understanding of proof techniques, and creating a pas- sage from numbers to systems of numbers. Ordinarily these subjects are included in appendices. This book intentionally includes these preanalysis subjects as its integral part. • The book contains topics for further reading, indicated by some of the sections being marked by an asterisk. These sections concern relevant topics from func- tional analysis, measure and integration, differential equations, and some modern topics such as multiplicative calculus and extension of integrals. • Brief information about the mathematicians mentioned in the book are given in the footnotes. The book is written based on a combination of lecture notes from different courses on analysis from graduate and undergraduate levels for students familiar with calculus. One of the difficulties of teaching analysis to students who have already seen calculus is the transition from solving problems of a computational nature by memo- rizing the algorithms of solutions, which is typical for calculus, to reading and writ- ing proofs and understanding how the algorithms of solutions are created. Therefore, Chapter 1 gently develops these skills in conjunction with a clear understanding of the concept of a set. Chapter 2 also gently introduces the numbers from the set-theoretic concepts and extends the subject to cardinality. The relationship between two fields of numbers, rational and real, is emphasized. Convergence is an underlying concept of analysis. It is discussed in two chapters. Chapter 3 deals with convergence on the system of real numbers. Attention is paid Preface xiii to the fact that numerical series are just another, but often more convenient, form of numerical sequences. It is pointed out that the absolutely convergent series behave similar to finite sums. The distinct features of the system of real numbers are inter- related to convergence. A deeper understanding of the concept of convergence comes with metric spaces, which may or may not have features of the system of real numbers. Study of conver- gence in metric spaces is important for purposes of generalization and covering many cases. It is also important to emphasize features of the system of real numbers that can be overlooked within the frame of real numbers. These topics are discussed in Chapter 4. The concept of continuity is also discussed in two chapters. Chapter 5 covers the definition and relationship of continuity and different concepts such as limit, compactness, and connectedness. Chapter 6 gives a general look at continuity and discusses the space of continuous functions and its different features as a metric space. Chapter 7 contains a standard presentation of differentiation with an emphasis on its relationship to continuity and mean-value theorems. It also contains two sections for further reading that deal with differential equations and the space of differentiable functions. Chapter 8 deals with the concept of bounded variation. Many textbooks cover this subject by considering only monotone functions. This book goes beyond discussing discrete and continuous functions of bounded variables and their space. Integration is also discussed in two chapters. Chapter 9 contains standard explana- tory material, and Chapter 10 gives an overall view to the integration of functions of a single variable. The creation of functions and transcending the capacity of rational functions are presented in Chapter 11. These functions played a crucial role in the development of classic mathematical analysis. An interesting feature of this chapter is an introduction to multiplicative calculus that breaks down the thought about absoluteness of familiar ordinary calculus. Finally, Chapter 12 discusses trigonometric series and integrals. The subject is handled from different kinds of convergence point of views, rather than the calcula- tion of different trigonometric expansions. For any questions, comments, or suggestions regarding this book please contact Agamirza Bashirov at [email protected]. Acknowledgments I would like to thank my students who taught me how to teach analysis for those familiar with elementary calculus, all my colleagues from Eastern Mediterranean University, and all my professors from Baku State University who taught me courses in different areas of analysis. A special thanks to the late professor Arif Babayev, to whom this book is dedicated, for his excellent and high-level course in mathematical analysis. I was one of the lucky students to have taken this complete course during two academic years in 1971–1972 and 1972–1973. Thanks to the Elsevier team working on this book, especially Paula Callaghan, Erin Hill-Parks and Stalin Viswanathan with whom I contacted during the evaluation process. 1 Sets and Proofs Mathematicsdealswithagreatvarietyofmathematicalconcepts,eachhavingapre- cisemathematicaldefinition.Unliketheexplanatorymethod,adoptedinmonolingual dictionaries, mathematical definitions are hierarchical: each of them uses only those conceptsthataredefinedpreviously.Runningbackalongthishierarchyofmathemat- icaldefinitions,afterall,onecangetabasicconceptforalltheothers—theconceptof aset.Sincethereisnothinginmathematicsforegoingtheprimitiveconceptofaset, oneshouldcarefullyworkwithsetsbyhandlingthemunderasystemofaxiomsthat excludes an occurrence of paradoxical cases and at the same time preserves a wide rangeofmanipulations. Inthischaptersetsandset-theoreticconceptsarediscussed.Althoughadiscussion of the axioms of set theory lies out of the scope of analysis here, they are briefly mentionedattheendofthischapter.Anotherfeatureofthischapterisanemphasison techniquesofproof.Anabilitytoreadandwritemathematicalproofsisveryimportant tostudyanalysis.Respectively,everyproofgiveninthischapterisaccompaniedwith adetaileddiscussion. 1.1 Sets, Elements, and Subsets Asetisaprimitiveconceptofmathematics.Intuitively,itisunderstoodasacollection ofobjectsthatarecalleditselementsormembers.Sometimesweprefertocallasetas aclass,system,orfamily. It is more desirable to symbolize sets by capital letters and their elements by lowercase letters. In this connection, the different groups of lowercase letters are usedtodenotedifferentkindsofelements.Intherest,wewillseektousetheletters a,b,c,... for elements that are fixed for the problem under consideration (parameters), x,y,z,... for unknowns and for variables, f,g,h,... for functions, n,m,k,...forintegers, p,q,r,...forelementsofmetricspaces,ε,δ,σ,...forsmall values,etc.,thoughwedonotmakeanystrictconventionabouttheseusages. Bothsymbolsa ∈ A and A (cid:3) a meanthata isanelementoftheset A ortheset A contains a as its element. Similarly, both a ∈/ A and A (cid:4)(cid:3) a mean thata is not an elementoftheset Aortheset Adoesnotcontainaasitselement. Asetcanbegivenbylistingallitselementsbetweenbraces.Forexample,theset {a,b,c} MathematicalAnalysisFundamentals.http://dx.doi.org/10.1016/B978-0-12-801001-3.00001-9 ©2014ElsevierInc.Allrightsreserved. 2 MathematicalAnalysisFundamentals consistsofthethreeelementsa,b,andc.Oftenweusesetsidentifiedintheform {a,b,c,...} ifthereisnoambiguitywiththeelementsmentionedbythethreedots.Asetcanalso begivenasacollectionofallelementsofacertainsethavingacertainproperty.For example,theset {a ∈ A:ahastheproperty P} consistsofallelementsoftheset Athathavetheproperty P.Thesymbol {a :ahastheproperty P} maybeusedfortheprecedingsetifitisclearwhatisA.Noticethatthissymbolwithout anyexistingset Amaycauseacontradiction.Forexample, {a :aisaset} doesnotexistasaset. Everysetiscompletelydeterminedbyknowledgeofallitselementsandbynothing else.Thissimpleremarkhasafewusefulconsequences.First,itdefinesacriterionfor equalityofsets:twosets Aand B areequaliftheyconsistofthesameelements;this isindicatedas A= B.Otherwise,wewrite A(cid:4)= B. Second,itimpliesthatanyrearrangementaswellasanyrepetitionoftheelements do not change the set. Consequently, when we identify a set by listing its elements, we usually list only its distinct elements disregarding their order. For example, the symbols{a,b}and{b,a}representthesamesetconsistingoftwodistinctelementsa andb(symbolically,a (cid:4)=b).Ifa =b(aandbareequalelements),thenwewrite{a} or{b}insteadof{a,b}and{b,a}. Finally,itnotifiesthatbeforeformingasetasacollectionofobjects,atfirstthese objectsmustbeavailable.Consequently,itfollowsthatthereisnosetcontainingitself as an element of itself. For example, the expression A = {A,a,b,c,...} does not define Aasaset. Asetcontainingonlyoneelementiscalledasingleton.Thesymbol{a}expresses thesingleton,containingaasitselement.Theemptyset∅isasetthatdoesnotcontain any element. One must distinguish ∅ and {∅}, the first of them being the empty set andthesecondasingleton. If Aand B aretwosetssothateveryelementof Aisanelementof B,thenwesay that Aisasubsetof B or B isasupsetof A;thisisindicatedas A⊆ B or B ⊇ A. Clearly,foreveryset A,itistruethat∅ ⊆ A and A ⊆ A.Wesaythat A isaproper subsetof B or B isapropersupsetof Aif A⊆ B and A(cid:4)= B;thisisindicatedas A⊂ B or B ⊃ A. SetsandProofs 3 • • (a) (b) (c) (d) A (e) (f) (g) (h) Figure1.1 Venndiagrams. If Aisnotasubsetof B,thenwewrite A(cid:4)⊆ B or B (cid:4)⊇ A. Onemustcorrectlyusethesymbols∈and⊆(respectively,(cid:3)and⊇)anddistinguish anelementfromasubset.Forthis,thefollowingguidesareuseful: element∈set, subset⊆set. In fact, a ∈ A implies {a} ⊆ A and vice versa. The symbols ∈,∈/,⊆, and (cid:4)⊆ are graphicallydemonstratedbyVenn3 diagramsinFigure1.1(a)–(d). 1.2 Operations on Sets Byuseofoperationsonsets,weformnewsets.Let Aand Bbetwosets.Theunionof AandBisthesetconsistingofallelementsof AandB;itisdenotedby A∪B,thatis, A∪B ={a :a ∈ Aora ∈ B}. Theintersectionof Aand B isthesetconsistingofallcommonelementsof Aand B; thesymbol A∩B isusedforthisset,thatis, A∩B ={a :a ∈ Aanda ∈ B}. 3JohnVenn(1834–1923),Englishmathematicianandlogician.Heusedso-calledVenndiagramstopopu- larizesymboliclogic.

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