Basic Real Analysis
Basic Real Analysis: Along with a companion volume Advanced Real Analysis by Anthony W. KnappThis book and its companion volume Advanced Real Analysis systematicallydevelop concepts and tools in real analysis that are vital to every mathematician,whether pure or applied, aspiring or established. The two books together containwhat the young mathematician needs to know about real analysis in order tocommunicate well with colleagues in all branches of mathematics.The books are written as textbooks, and their primary audience is students whoare learning the material for the first time and who are planning a career in whichthey will use advanced mathematics professionally. Much of the material in thebooks corresponds to normal course work. Nevertheless, it is often the case thatcore mathematics curricula, time-limited as they are, do not include all the topicsthat one might like. Thus the book includes important topics that may be skippedin required courses but that the professional mathematician will ultimately wantto learn by self-study.The content of the required courses at each university reflects expectations ofwhat students need before beginning specialized study and work on a thesis. Theseexpectations vary from country to country and from university to university. Evenso, there seems to be a rough consensus about what mathematics a plenary lecturerat a broad international or national meeting may take as known by the audience.The tables of contents of the two books represent my own understanding of whatthat degree of knowledge is for real analysis today.Key topics and features of Basic Real Analysis are as follows:* Early chapters treat the fundamentals of real variables, sequences and seriesof functions, the theory of Fourier series for the Riemann integral, metricspaces, and the theoretical underpinnings of multivariable calculus and ordi-nary differential equations.* Subsequent chapters develop the Lebesgue theory in Euclidean and abstractspaces, Fourier series and the Fourier transform for the Lebesgue integral,point-set topology, measure theory in locally compact Hausdorff spaces, andthe basics of Hilbert and Banach spaces.* The subjects of Fourier series and harmonic functions are used as recurringmotivation for a number of theoretical developments.* The development proceeds from the particular to the general, often introducingexamples well before a theory that incorporates them.* More than 300 problems at the ends of chapters illuminate aspects of thetext, develop related topics, and point to additional applications. A separate55-page section "Hints for Solutions of Problems" at the end of the book givesdetailed hints for most of the problems, together with complete solutions formany.Beyond a standard calculus sequence in one and several variables, the mostimportant prerequisite for using Basic Real Analysis is that the reader alreadyknow what a proof is, how to read a proof, and how to write a proof. Thisknowledge typically is obtained from honors calculus courses, or from a coursein linear algebra, or from a first junior-senior course in real variables. In addition,it is assumed that the reader is comfortable with a modest amount of linear algebra,including row reduction of matrices, vector spaces and bases, and the associatedgeometry. A passing acquaintance with the notions of group, subgroup, andquotient is helpful as well.Chapters I-IV are appropriate for a single rigorous real-variables course andmay be used in either of two ways. For students who have learned about proofsfrom honors calculus or linear algebra, these chapters offer a full treatment of realvariables, leaving out only the more familiar parts near the beginning--such aselementary manipulations with limits, convergence tests for infinite series withpositive scalar terms, and routine facts about continuity and differentiability.