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Book Details
New
Measure and Integration,
Edition
1
Examples, Concepts, and Applications
Editors:
By Rudi Weikard, Steven Redolfi and Ahmed Ghatasheh
Publication Date:
01 Apr 2026
Measure and Integration: Examples, Concepts, and Applications instructs in core proofs, theorems, and approaches of real analysis, as illustrated via compelling exercises and carefully crafted, practical examples. From chapter one onward, students are asked to apply concepts to reinforce understanding and gain applied experience in real analysis. In particular, exercises challenge students to use key proofs of major real analysis theorems to encourage independent thinking and problem solving, and new areas of research powered by real analysis are introduced. Following early chapters on core concepts and approaches of real analysis, the authors apply real analysis across integration on product spaces, radon functionals, bounded variation and lebesgue-stieltjes measures, convolutions, probability, and differential equations, among other topics. Advanced exercises are also included at the end of each chapter, with exercise difficulty level noted for instructors, and solutions included in an appendix.
Key Features
- Applies real analysis-based problem solving across a range of mathematical topics, from product spaces to radon functionals, bounded variation and lebesgue-stieltjes measures, convolutions, probability, and differential equations, among others
- Reinforces understanding of core concepts, proofs, and theorems of real analysis to encourage independent thinking
- Features additional exercises at the end of each chapter and solutions in an appendix
About the author
By Rudi Weikard, Professor of Mathematics, University of Alabama, Birmingham, UK; Steven Redolfi, Model Validation Analyst, Regions Financial Corporation, USA and Ahmed Ghatasheh, Assistant Professor of Mathematics, Philadelphia University, Jordan
1. Abstract Integration
2. Measures
3. Integration on Product Spaces
4. The Lebesgue-Radon-Nikodym Theorem
5. Radon Functionals on Locally Compact Hausdorff Spaces
6. Differentiation
7. Functions of Bounded Variation and Lebesgue-Stieltjes Measures
8. Convolutions
9. Probability
10. Differential Equations with measure coefficients
11. Appendices
2. Measures
3. Integration on Product Spaces
4. The Lebesgue-Radon-Nikodym Theorem
5. Radon Functionals on Locally Compact Hausdorff Spaces
6. Differentiation
7. Functions of Bounded Variation and Lebesgue-Stieltjes Measures
8. Convolutions
9. Probability
10. Differential Equations with measure coefficients
11. Appendices
ISBN:
9780443273902
Page Count:
350
Retail Price (USD)
:
Junior and Senior level undergraduate or early graduate level mathematics students
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