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Measure, Integration & Real Analysis (Graduate Texts in Mathematics, 282)

Axler, Sheldon

Edit� par Springer, 2019

ISBN 10 : 3030331423 ISBN 13 : 9783030331429

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hardcover. Etat : New. 1st ed. 2020. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N� de r�f. du vendeur 002332657N

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Measure, Integration and Real Analysis

Axler, Sheldon

Edit� par Springer International Publishing AG, 2019

ISBN 10 : 3030331423 ISBN 13 : 9783030331429

Ancien ou d'occasion Couverture rigide

Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis

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Etat : Very Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. N� de r�f. du vendeur 52062975

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Measure, Integration & Real Analysis: 282 (Graduate Texts in Mathematics)

Axler, Sheldon

Edit� par Springer Nature Switzerland AG, 2019

ISBN 10 : 3030331423 ISBN 13 : 9783030331429

Ancien ou d'occasion Couverture rigide

Vendeur : Jasmin Berger, Sassnitz, Allemagne

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Hardcover. Etat : Gut bis sehr gut. This open access textbook welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler lays the foundations for further study by promoting a deep understanding of key results. Content is carefully curated to suit a single course, or two-semester sequence of courses, creating a versatile entry point for graduate studies in all areas of pure and applied mathematics. Motivated by a brief review of Riemann integration and its deficiencies, the text begins by immersing students in the concepts of measure and integration. Lebesgue measure and abstract measures are developed together, with each providing key insight into the main ideas of the other approach. Lebesgue integration links into results such as the Lebesgue Differentiation Theorem. The development of products of abstract measures leads to Lebesgue measure on R n . Chapters on Banach spaces, Lp spaces, and Hilbert spaces showcase major results such as the HahnBanach Theorem, H�lder's Inequality, and the Riesz Representation Theorem. An in-depth study of linear maps on Hilbert spaces culminates in the Spectral Theorem and Singular Value Decomposition for compact operators, with an optional interlude in real and complex measures. Building on the Hilbert space material, a chapter on Fourier analysis provides an invaluable introduction to Fourier series and the Fourier transform. The final chapter offers a taste of probability. Extensively class tested at multiple universities and written by an award-winning mathematical expositor, Measure, Integration & Real Analysis is an ideal resource for students at the start of their journey into graduate mathematics. A prerequisite of elementary undergraduate real analysis is assumed; students and instructors looking to reinforce these ideas will appreciate the electronic Supplement for Measure. N� de r�f. du vendeur f809

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