A Course in Real Analysis

1. Set Theory2. The Real Number System and Calculus3. Lebesgue Measure on the Real Line4. The Lebesgue Integral on the Real Line5. Elements of Measure Theory6. Extensions to Measures and Product Measure7. Elements of Probability8. Differentiation and Absolute Continuity9. Signed and Complex Measures10. Topologies, Metrics, and Norms11. Separability and Compactness12. Complete and Compact Spaces13. Hilbert Spaces and Banach Spaces14. Normed Spaces and Locally Convex Spaces15. Elements of Harmonic Analysis16. Measurable Dynamical Systems17. Hausdorff Measure and Fractals

"...truly marvelous...weaves an interesting, lively, and crystal clear sequence of ideas comprising the heart of modern analysis. The order of presentation is so carefully chosen and the exposition is so masterful as to possess the traits of a literary art form." --MAA Reviews, January 2015
"The exposition is very clear and unhurried and the book would be useful both as a text and a book for self-study. The last chapters go beyond what is usually covered in analysis courses and this is all to the good." --Sigurdur Helgason, MIT
"There is a literary quality in the writing that is rare in mathematics texts. It is a pleasure to read this book. The exercises are a strong feature of the book and the examples are well chosen and plentiful." --Peter Duren, University of Michigan
"The outstanding features of the book are the wealth of examples and exercises, the interesting biographical data, and the introduction to wavelets and dynamical systems." --Duong H. Phong, Columbia University
"McDonald and Weiss have crafted a treasure chest of exercises in real analysis. Just an amazing and broad collection. Students and researchers will surely benefit from the enormous amount of superb exercises." --Enno Lenzmann, University of Copenhagen
"I was very impressed by the motivating discussions of a number of difficult concepts, along with their fresh approach to the details following. Their general philosophy of starting with concrete ideas, and slowly abstracting, worked well in communicating even the most difficult concepts in the course." --Todd Kemp, University of California, San Diego