Measure, Integration & Real Analysis

Name: Measure, Integration & Real Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030331429
Price: 22990 HUF
Availability: InStock

Szerző: Sheldon Axler

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 11-15 napon belül

22 990 Ft

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

Információk a könyvről

Szerző

Sheldon Axler

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2019

oldal

411

EAN

9783030331429

Enbook ID

24647395

Kiadó

Springer Nature Switzerland AG

Súly

746

Méretek

187 x 233 x 27

Teljes leírás

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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Measure, Integration & Real Analysis

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