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Nonstandard Analysis for the Working Mathematician / edited by Peter A. Loeb, Manfred P. H. Wolff.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Contributor:
Loeb, Peter A., Editor.
Wolff, Manfred P. H., Editor.
Language:
English
Subjects (All):
Functional analysis.
Measure theory.
Operator theory.
Game theory.
Logic, Symbolic and mathematical.
Number theory.
Functional Analysis.
Measure and Integration.
Operator Theory.
Game Theory, Economics, Social and Behav. Sciences.
Mathematical Logic and Foundations.
Number Theory.
Local Subjects:
Functional Analysis.
Measure and Integration.
Operator Theory.
Game Theory, Economics, Social and Behav. Sciences.
Mathematical Logic and Foundations.
Number Theory.
Physical Description:
1 online resource (485 p.)
Edition:
2nd ed. 2015.
Place of Publication:
Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Language Note:
English
Summary:
Starting with a simple formulation accessible to all mathematicians, this second edition is designed to provide a thorough introduction to nonstandard analysis. Nonstandard analysis is now a well-developed, powerful instrument for solving open problems in almost all disciplines of mathematics; it is often used as a ‘secret weapon’ by those who know the technique. This book illuminates the subject with some of the most striking applications in analysis, topology, functional analysis, probability and stochastic analysis, as well as applications in economics and combinatorial number theory. The first chapter is designed to facilitate the beginner in learning this technique by starting with calculus and basic real analysis. The second chapter provides the reader with the most important tools of nonstandard analysis: the transfer principle, Keisler’s internal definition principle, the spill-over principle, and saturation. The remaining chapters of the book study different fields for applications; each begins with a gentle introduction before then exploring solutions to open problems. All chapters within this second edition have been reworked and updated, with several completely new chapters on compactifications and number theory. Nonstandard Analysis for the Working Mathematician will be accessible to both experts and non-experts, and will ultimately provide many new and helpful insights into the enterprise of mathematics.
Contents:
Simple Nonstandard Analysis and Applications
An Introduction to General Nonstandard Analysis
Topology and Measure Theory
Banach Spaces and Linear Operators
General and End Compactifications
Measure theory and integration
Stochastic Analysis
New Understanding of Stochastic Independence
Nonstandard Analysis in Mathematical Economics
Density Problems and Freiman's Inverse Problem
Hypernatural numbers as ultrafilters.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
94-017-7327-0

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