Isbn: 9780883853436 - a guide to advanced real analysis (9 risultati)
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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.…
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Hardcover. Condizione: Brand New. 107 pages. 9.00x6.10x0.50 inches. In Stock.
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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. . . . . …
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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. …
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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.…
