En savoir plus sur le livre
Real Analysis is the third volume in the Princeton Lectures in Analysis, a series of four textbooks that aim to present, in an integrated manner, the core areas of analysis. Here the focus is on the development of measure and integration theory, differentiation and integration, Hilbert spaces, and Hausdorff measure and fractals. This book reflects the objective of the series to make plain the organic unity that exists between the various parts of the subject and to illustrate the wide applicability of ideas of analysis to other fields of mathematics and science. After setting forth the basic facts of measure theory, Lebesgue integration, and differentiation on Euclidean spaces, the authors move to the elements of Hilbert space, via the L2 theory. They next present basic illustrations of these concepts from Fourier analysis, partial differential equations, and complex analysis. The final part of the book introduces the reader to the fascinating subject of fractional-dimensional sets, including Hausdorff measure, self-replicating sets, space-filling curves, and Besicovitch sets. Each chapter has a series of exercises, from the relatively easy to the more complex, that are tied directly to the text. A substantial number of hints encourage the reader to take on even the more challenging exercises.
Achat du livre
Princeton Lectures in Analysis - 3: Real Analysis, Elias M. Stein, Rami Shakarchi
- Langue
- Année de publication
- 2005
Modes de paiement
Personne n'a encore évalué .
- Titre
- Princeton Lectures in Analysis - 3: Real Analysis
- Sous-titre
- Measure Theory, Integration, and Hilbert Spaces - Reprint Edition
- Langue
- Anglais
- Auteurs
- Elias M. Stein, Rami Shakarchi
- Éditeur
- Princeton University Press
- Publié
- 2005
- Pages
- 402
- ISBN10
- 7510040531
- ISBN13
- 9787510040535
- Séries
- Mots clés
- Analyse mathématique
- Description
- Real Analysis is the third volume in the Princeton Lectures in Analysis, a series of four textbooks that aim to present, in an integrated manner, the core areas of analysis. Here the focus is on the development of measure and integration theory, differentiation and integration, Hilbert spaces, and Hausdorff measure and fractals. This book reflects the objective of the series to make plain the organic unity that exists between the various parts of the subject and to illustrate the wide applicability of ideas of analysis to other fields of mathematics and science. After setting forth the basic facts of measure theory, Lebesgue integration, and differentiation on Euclidean spaces, the authors move to the elements of Hilbert space, via the L2 theory. They next present basic illustrations of these concepts from Fourier analysis, partial differential equations, and complex analysis. The final part of the book introduces the reader to the fascinating subject of fractional-dimensional sets, including Hausdorff measure, self-replicating sets, space-filling curves, and Besicovitch sets. Each chapter has a series of exercises, from the relatively easy to the more complex, that are tied directly to the text. A substantial number of hints encourage the reader to take on even the more challenging exercises.