Measure and Integration: Examples, Concepts, and Applications instructs on core proofs, theorems, and approaches of real analysis as illustrated via compelling exercises and carefully crafted, practical examples. 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.
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, problem-solving, and new areas of research powered by real analysis.
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Ahmed Ghatasheh earned his PhD in Applied Mathematics from the University of Alabama at Birmingham in 2018. He has taught at the Ohio State University and Florida A&M University and currently serves as Assistant Professor of Mathematics at Philadelphia University in Amman, Jordan
Steven Redolfi earned his PhD in Applied Mathematics from the University of Alabama at Birmingham in 2023. He is
currently a Model Validation Analyst for Regions Financial Corporation.
Rudi Weikard is Professor of Mathematics at the University of Alabama at Birmingham. He frequently taught the Real Analysis sequence on which this book is modeled. He has authored or coauthored over 70 scholarly papers and coedited three volumes of conference proceedings. Jointly with C. Bennewitz and B.M. Brown, he recently published the book Spectral and Scattering Theory for Ordinary Differential Equations
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.
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