Measure, Integration & Real Analysis

Name: Measure, Integration & Real Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030331429
Price: 58.84 EUR
Availability: InStock

Autor: Sheldon Axler

Jazyk:

Väzba: Pevná

Vydavateľ: Springer Nature Switzerland AG

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 11-15 dní

58.84 €

This open access textbook welcomes students into the fundamental theory of measure, integration, and...

Informácie o knihe

Autor

Sheldon Axler

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2019

Stránok

411

EAN

9783030331429

Enbook ID

24647395

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

746

Rozmery

187 x 233 x 27

Kompletný popis

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, L p spaces, and Hilbert spaces showcase major results such as the Hahn-Banach Theorem, Hölder'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, Integration & Real Analysis that is freely available online.

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