A concise guide to the core material in a graduate level real analysis course.
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Gerald B. Folland was born and raised in Salt Lake City, Utah. He received his bachelor's degree from Harvard University in 1968 and his doctorate from Princeton University in 1971. After two years at the Courant Institute, he moved to the University of Washington, where he is now professor of mathematics. He is the author of ten textbooks and research monographs in the areas of real analysis, harmonic analysis, partial differential equations, and mathematical physics.
This book is an outline of the core material in the standard graduate-level real analysis course. It is intended as a resource for students in such a course as well as others who wish to learn or review the subject. On the abstract level, it covers the theory of measure and integration and the basics of point set topology, functional analysis, and the most important types of function spaces. On the more concrete level, it also deals with the applications of these general theories to analysis on Euclidean space: the Lebesgue integral, Hausdorff measure, convolutions, Fourier series and transforms, and distributions. The relevant definitions and major theorems are stated in detail. Proofs, however, are generally presented only as sketches, in such a way that the key ideas are explained but the technical details are omitted. In this way a large amount of material is presented in a concise and readable form.
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Hardback. Condizione: New. This concise guide to real analysis covers the core material of a graduate level real analysis course. On the abstract level, it covers the theory of measure and integration and the basics of point set topology, functional analysis, and the most important types of function spaces. On the more concrete level, it also deals with the applications of these general theories to analysis on Euclidean space: the Lebesgue integral, Hausdorff measure, convolutions, Fourier series and transforms, and distributions. The relevant definitions and major theorems are stated in detail. Proofs, however, are generally presented only as sketches, in such a way that the key ideas are explained but the technical details are omitted. In this way a large amount of material is presented in a concise and readable form. The prerequisite is a familiarity with classical real-variable theory. Codice articolo LU-9780883853436
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. A concise guide to the core material in a graduate level real analysis course. Series: Dolciani Mathematical Expositions. Num Pages: 110 pages, Illustrations. BIC Classification: PBKB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 159 x 12. Weight in Grams: 282. . 2009. hardcover. . . . . Codice articolo V9780883853436
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. A concise guide to the core material in a graduate level real analysis course. Series: Dolciani Mathematical Expositions. Num Pages: 110 pages, Illustrations. BIC Classification: PBKB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 159 x 12. Weight in Grams: 282. . 2009. hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9780883853436
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Condizione: As New. Unread book in perfect condition. Codice articolo 6916385
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Da: Rarewaves.com UK, London, Regno Unito
Hardback. Condizione: New. This concise guide to real analysis covers the core material of a graduate level real analysis course. On the abstract level, it covers the theory of measure and integration and the basics of point set topology, functional analysis, and the most important types of function spaces. On the more concrete level, it also deals with the applications of these general theories to analysis on Euclidean space: the Lebesgue integral, Hausdorff measure, convolutions, Fourier series and transforms, and distributions. The relevant definitions and major theorems are stated in detail. Proofs, however, are generally presented only as sketches, in such a way that the key ideas are explained but the technical details are omitted. In this way a large amount of material is presented in a concise and readable form. The prerequisite is a familiarity with classical real-variable theory. Codice articolo LU-9780883853436
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