Real Analysis: Measure Theory, Integration, and Hilbert Spaces

Elias M. Stein

ISBN 10: 0691113866 / ISBN 13: 9780691113869

Edité par Princeton University Press, 2005

A propos de cet article

2005. First Edition. Hardcover. Intended for the students interested in the disciplines of mathematics, physics, engineering, and finance, at both the undergraduate and graduate levels, this third volume in a series of titles focuses on the development of measure and integration theory, differentiation and integration, Hilbert spaces, and Hausdorff measure and fractals. Num Pages: 424 pages, 51 line illus. BIC Classification: PBKB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 241 x 164 x 29. Weight in Grams: 756. . . . . . N° de réf. du vendeur V9780691113869

Détails bibliographiques

Titre : Real Analysis: Measure Theory, Integration, ...

Éditeur : Princeton University Press

Date d'édition : 2005

Reliure : Couverture rigide

Etat : New

Edition : Edition originale

A propos de ce titre

Synopsis :

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 as a whole: 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 Euclidian 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.

As with the other volumes in the series, Real Analysis is accessible to students interested in such diverse disciplines as mathematics, physics, engineering, and finance, at both the undergraduate and graduate levels.

Also available, the first two volumes in the Princeton Lectures in Analysis:

À propos de l?auteur:

Elias M. Stein is Professor of Mathematics at Princeton University. Rami Shakarchi received his Ph.D. in Mathematics from Princeton University in 2002.