Measure Theory and Functional Analysis

Nonfiction, Science & Nature, Mathematics, Menstruation, Functional Analysis
Cover of the book Measure Theory and Functional Analysis by Nik Weaver, World Scientific Publishing Company
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Nik Weaver ISBN: 9789814508582
Publisher: World Scientific Publishing Company Publication: July 23, 2013
Imprint: WSPC Language: English
Author: Nik Weaver
ISBN: 9789814508582
Publisher: World Scientific Publishing Company
Publication: July 23, 2013
Imprint: WSPC
Language: English

This book provides an introduction to measure theory and functional analysis suitable for a beginning graduate course, and is based on notes the author had developed over several years of teaching such a course. It is unique in placing special emphasis on the separable setting, which allows for a simultaneously more detailed and more elementary exposition, and for its rapid progression into advanced topics in the spectral theory of families of self-adjoint operators. The author's notion of measurable Hilbert bundles is used to give the spectral theorem a particularly elegant formulation not to be found in other textbooks on the subject.

Request Inspection Copy

Contents:

  • Topological Spaces
  • Measure and Integration
  • Banach Spaces
  • Dual Banach Spaces
  • Spectral Theory

Readership: Graduates students in mathematics (pure and applied) in their first or second year, graduate students in physics or engineering, and economics.
Key Features:

  • A very readable and thorough treatment of the core material in measure theory and functional analysis which cuts a clear path to advanced results in the spectral theory of families of commuting self-adjoint operators, avoiding side topics of lesser importance
  • Presents the author's elegant formulation of the spectral theorem in terms of his notion of Hilbert bundles, not available in comparable textbooks
  • Uniquely firm emphasis on the separable case allows for a simultaneously more detailed and more elementary exposition
  • Includes over 150 exercises
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides an introduction to measure theory and functional analysis suitable for a beginning graduate course, and is based on notes the author had developed over several years of teaching such a course. It is unique in placing special emphasis on the separable setting, which allows for a simultaneously more detailed and more elementary exposition, and for its rapid progression into advanced topics in the spectral theory of families of self-adjoint operators. The author's notion of measurable Hilbert bundles is used to give the spectral theorem a particularly elegant formulation not to be found in other textbooks on the subject.

Request Inspection Copy

Contents:

Readership: Graduates students in mathematics (pure and applied) in their first or second year, graduate students in physics or engineering, and economics.
Key Features:

More books from World Scientific Publishing Company

Cover of the book Risk and Stochastics by Nik Weaver
Cover of the book Introduction to Dynamic Spin Chemistry by Nik Weaver
Cover of the book Struggling with Success by Nik Weaver
Cover of the book Evidence-based Clinical Chinese Medicine by Nik Weaver
Cover of the book Microbial Biotechnology by Nik Weaver
Cover of the book Financial Systems at the Crossroads by Nik Weaver
Cover of the book Three-Particle Physics and Dispersion Relation Theory by Nik Weaver
Cover of the book A History of Food Culture in China by Nik Weaver
Cover of the book 43 Visions for Complexity by Nik Weaver
Cover of the book Superpower, China? by Nik Weaver
Cover of the book E-Recursion, Forcing and C*-Algebras by Nik Weaver
Cover of the book Personal and Scientific Reminiscences by Nik Weaver
Cover of the book The Formation of the Solar System by Nik Weaver
Cover of the book The Nonlinear Workbook by Nik Weaver
Cover of the book Advances in Data Envelopment Analysis by Nik Weaver
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy