
Computability in Analysis and Physics
Cambridge University Press
Published on 2. March 2017
Book
Hardback
220 pages
978-1-107-16844-2 (ISBN)
Description
Since their inception, the Perspectives in Logic and Lecture Notes in Logic series have published seminal works by leading logicians. Many of the original books in the series have been unavailable for years, but they are now in print once again. In this volume, the first publication in the Perspectives in Logic series, Pour-El and Richards present the first graduate-level treatment of computable analysis within the tradition of classical mathematical reasoning. The book focuses on the computability or noncomputability of standard processes in analysis and physics. Topics include classical analysis, Hilbert and Banach spaces, bounded and unbounded linear operators, eigenvalues, eigenvectors, and equations of mathematical physics. The work is self-contained, and although it is intended primarily for logicians and analysts, it should also be of interest to researchers and graduate students in physics and computer science.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
5 Line drawings, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
539 gr
ISBN-13
978-1-107-16844-2 (9781107168442)
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Schweitzer Classification
Other editions
Additional editions

Marian B. Pour-El | J. Ian Richards
Computability in Analysis and Physics
E-Book
03/2017
Cambridge University Press
€112.99
Available for download
Persons
Marian B. Pour-El works in the School of Mathematics at the University of Minnesota. J. Ian Richards works in the School of Mathematics at the University of Minnesota.
Content
Introduction; Prerequisites from logic and analysis; Part I. Computability in Classical Analysis: An introduction to computable analysis; 1. Further topics in computable analysis; Part II. The Computability Theory of Banach Spaces: 2. Computability structures on a Banach space; 3. The first main theorem and its applications; Part III. The Computability Theory of Eigenvalues and Eigenvectors: 4. The second main theorem, the eigenvector theorem, and related results; 5. Proof of the second main theorem; Addendum: open problems; Bibliography; Subject index.