ebook img

Measure, Integral, Derivative: A Course on Lebesgue's Theory PDF

154 Pages·2013·0.975 MB·English
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Measure, Integral, Derivative: A Course on Lebesgue's Theory

Universitext Universitext Series Editors: SheldonAxler San Francisco State University VincenzoCapasso Universit`a degli Studi di Milano CarlesCasacuberta Universitat de Barcelona AngusJ.MacIntyre Queen Mary, University of London KennethRibet University of California, Berkeley ClaudeSabbah CNRS, E´cole Polytechnique EndreSu¨li University of Oxford WojborA.Woyczynski Case Western Reserve University Universitextisaseriesoftextbooksthatpresentsmaterialfromawidevarietyofmathemati- caldisciplinesatmaster’slevelandbeyond.Thebooks,oftenwellclass-testedbytheirauthor, mayhaveaninformal,personalevenexperimentalapproachtotheirsubjectmatter.Someof themostsuccessfulandestablishedbooksintheserieshaveevolvedthroughseveraleditions, alwaysfollowingtheevolutionofteachingcurricula,toverypolishedtexts. Thusasresearchtopicstrickledownintograduate-levelteaching,firsttextbookswrittenfor new,cutting-edgecoursesmaymaketheirwayintoUniversitext. Forfurthervolumes: http://www.springer.com/series/223 Sergei Ovchinnikov Measure, Integral, Derivative A Course on Lebesgue’s Theory 123 SergeiOvchinnikov DepartmentofMathematics SanFranciscoStateUniversity SanFrancisco,CA,USA ISSN0172-5939 ISSN2191-6675(electronic) ISBN978-1-4614-7195-0 ISBN978-1-4614-7196-7(eBook) DOI10.1007/978-1-4614-7196-7 SpringerNewYorkHeidelbergDordrechtLondon LibraryofCongressControlNumber:2013933999 MathematicsSubjectClassification:26A42,26A45,26A46,28A12,28A20,28A25 ©SpringerScience+BusinessMediaNewYork2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection withreviewsorscholarlyanalysisormaterialsuppliedspecificallyforthepurposeofbeingenteredand executedonacomputersystem,forexclusiveusebythepurchaserofthework.Duplicationofthispub- licationorpartsthereofispermittedonlyundertheprovisionsoftheCopyrightLawofthePublisher’s location,initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Permis- sionsforusemaybeobtainedthroughRightsLinkattheCopyrightClearanceCenter.Violationsareliable toprosecutionundertherespectiveCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Whiletheadviceandinformationinthisbookarebelievedtobetrueandaccurateatthedateofpublica- tion,neithertheauthorsnortheeditorsnorthepublishercanacceptanylegalresponsibilityforanyerrors oromissionsthatmaybemade.Thepublishermakesnowarranty,expressorimplied,withrespecttothe materialcontainedherein. Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) To the memory of my best and truest friend, Timosha Preface This book originated from the notes I kept while teaching the graduate course Analysis on Lebesgue’s theory of integration and differentiation at San Francisco State University (SFSU). This course was rightly considered by many students as a difficult one, mainly because some ideas and proofs were presented in their textbooks in unnatural and counterintuitive ways, albeit rigorous ones. These students also had problems connecting the mate- rial they learned in undergraduate real analysis classes with this course. The Mathematics Department of SFSU is a master’s mathematics department. Most students who receiveda MS degree from our department do not pursue ahigherdegree.WhenteachingthiscourseIwantedmystudentstogetafeel for the theory, appreciate its importance, and be ready to learn more about it, should the need arise. Consequently, my goal in writing this book was to present Lebesgue’s theory in the most elementary way possible by sacrificing the generality of the theory. For this, the theory is built constructively for measures and integrals over bounded sets only. However, the reader will find allmaintheoremsofthetheoryhere,ofcoursenotintheirultimategenerality. The first chapter presents selected topics from the real analysis that I felt are needed to review in order to fill the gaps between what the reader probably learned some time ago or missed completely and what is required to master the material presented in the rest of the book. For instance, one can hardly find properties of summable families (Sect.1.4) in textbooks on real analysis. Several conventions that are used throughout the book are also found in Chap.1. The Lebesgue measure of a bounded set and measurable functions are the subject of the second chapter. Because bounded open and closed sets haverelativelysimplestructures,theirmeasuresareintroducedfirst.Thenthe outer and inner measures of a bounded set are introduced by approximating the set by open and closed sets, respectively. A measurable set is defined as a bounded set for which its inner and outer measures are equal; its Lebesgue measure is the common value of these two measures. We proceed then by VII VIII Preface establishingstandardpropertiesoftheLebesguemeasureandmeasurablesets. Lebesgue measurable functions and their convergence properties are covered in the last two sections of Chap.2. Undoubtedly, the highest point of this chapter is Egorov’s Theorem, which is important in establishing convergence properties of integrals in Chap.3. I follow most expositions in Chap.3 where main elements of the theory of Lebesgue integral are presented. Again the theory is developed for func- tions over bounded sets only. However, the main convergence theorems—the Bounded Convergence Theorem, the Monotone Convergence Theorem, and Dominated Convergence Theorem—are proved in this chapter, establishing the “passage of the limit under the integral sign.” The main topics ofChap.4 areLebesgue’s theoremabout differentiability of monotone functions and his versions of the fundamental theorems of cal- culus. I chose to present functions of bounded variations (BV-functions) and their properties first and then prove the Lebesgue theorem for BV-functions. The proof is elementary albeit a nontrivial one. To make it more accessible, I dissect the proof into a number of lemmas and two theorems. The last two sectionsofChap.4coverabsolutelycontinuousfunctionsandthefundamental theorems of calculus due to Lebesgue. A distinguished feature of this book is that it limits attention in Chaps.2 and 3 to bounded subsets of the real line. In the Appendix, I present a way to remedy this limitation. Thereare187exercisesinthe book(thereisanexercisesectionattheend of each chapter). Most exercises are “proof” problems, that is, the reader is invited to prove a statement in the exercise. I have received help from many people in the process of working on the drafts of this book. First and foremost, I am greatly indebted to my students for correcting several errors in the lecture notes from which this text was de- rived and providing other valuable feedback. I wish to thank my colleague Eric Hayashi and an anonymous referee for reading parts of the manuscript carefullyandsuggestingmanymathematicalandstylisticcorrections.Myspe- cial thanks goto Sheldon Axler for his endorsementofthis projectand many comments which materially improvedthe original draftof the book. Lastbut not least, I wish to thank my Springer editor Kaitlin Leach for her support throughout the preparationof this book. Berkeley, CA, USA Sergei Ovchinnikov Contents 1 Preliminaries .............................................. 1 1.1 Sets and Functions ...................................... 1 1.2 Sets and Sequences of Real Numbers....................... 4 1.3 Open and Closed Sets of Real Numbers .................... 9 1.4 Summation on Infinite Sets ............................... 14 Notes....................................................... 19 Exercises ................................................... 20 2 Lebesgue Measure ......................................... 27 2.1 The Measure of a Bounded Open Set ...................... 28 2.2 The Measure of a Bounded Closed Set ..................... 33 2.3 Inner and Outer Measures ................................ 38 2.4 Measurable Sets......................................... 42 2.5 Translation Invariance of Measure ......................... 48 2.6 The Class of Measurable Sets ............................. 50 2.7 Lebesgue Measurable Functions ........................... 52 2.8 Sequences of Measurable Functions ........................ 55 Notes....................................................... 59 Exercises ................................................... 60 3 Lebesgue Integration ...................................... 65 3.1 Integration of Bounded Measurable Functions............... 65 3.2 Properties of the Integral................................. 68 3.3 Convergence ............................................ 76 3.4 Integration of Nonnegative Measurable Functions............ 78 3.5 General Lebesgue Integral ................................ 84 3.6 Comparison of Riemann and Lebesgue Integrals ............. 88 Notes....................................................... 90 Exercises ................................................... 91 IX

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.