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Measure Theory - Second Edition (Paperback, Softcover reprint of the original 2nd ed. 2013): Donald L. Cohn Measure Theory - Second Edition (Paperback, Softcover reprint of the original 2nd ed. 2013)
Donald L. Cohn
R1,812 Discovery Miles 18 120 Ships in 10 - 15 working days

Intended as a self-contained introduction to measure theory, this textbook also includes a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups. This second edition includes a chapter on measure-theoretic probability theory, plus brief treatments of the Banach-Tarski paradox, the Henstock-Kurzweil integral, the Daniell integral, and the existence of liftings. Measure Theory provides a solid background for study in both functional analysis and probability theory and is an excellent resource for advanced undergraduate and graduate students in mathematics. The prerequisites for this book are basic courses in point-set topology and in analysis, and the appendices present a thorough review of essential background material.

Measure Theory - Second Edition (Hardcover, 2nd ed. 2013): Donald L. Cohn Measure Theory - Second Edition (Hardcover, 2nd ed. 2013)
Donald L. Cohn
R3,133 Discovery Miles 31 330 Ships in 10 - 15 working days

Intended as a self-contained introduction to measure theory, this textbook provides a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups. This second edition provides the reader with a broad perspective on measure theory through additional topics such as the Kurzweil-Henstock integral, the Banach-Tarski paradox, a proof of the existence of liftings, the Daniell integral. In addition, applications and introductions to other related areas such as measure-theoretic probability theory are also included in this new edition.

Measure Theory provides a solid background for study in both harmonic analysis and probability theory and is an excellent resource for advanced undergraduate and graduate students in mathematics. The prerequisites are courses in topology and analysis, and the appendices present a thorough review of essential background material.

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