Description

Book Synopsis
This textbook is an introduction to non-standard analysis and to its many applications. Non standard analysis (NSA) is a subject of great research interest both in its own right and as a tool for answering questions in subjects such as functional analysis, probability, mathematical physics and topology. The book arises from a conference held in July 1986 at the University of Hull which was designed to provide both an introduction to the subject through introductory lectures, and surveys of the state of research. The first part of the book is devoted to the introductory lectures and the second part consists of presentations of applications of NSA to dynamical systems, topology, automata and orderings on words, the non- linear Boltzmann equation and integration on non-standard hulls of vector lattices. One of the book's attractions is that a standard notation is used throughout so the underlying theory is easily applied in a number of different settings. Consequently this book will be id

Table of Contents
Preface; Contributors; 1. An invitation to non standard analysis Tom Lindstrøm; 2. Infinitesimal in probability theory H. Jerome Keisler; 3. Infinitesimals in functional analysis C. Ward Henson; 4. Applications of non standard analysis in mathematical physics Sergio Albervio; 5. A lattice formulation of real and vector valued integrals Peter A. Loeb; 6. An application of non standard methods to computational group theory B. Benninghofen and M.M. Richter; 7. Syntactical methods in infinitesimal analysis Francine Deiner and Keith D. Stroyan; 8. Some asymptotic results in ordinary differential equations Francine and Marc Diener; 9. Superinfinitesimals and inductive limits Keith D. Stroyan; 10. The non-linear boltzmann equation far from equilibrium Leif Arkeryd; Index.

Nonstandard Analysis and its Applications 10 London Mathematical Society Student Texts Series Number 10

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      View other formats and editions of Nonstandard Analysis and its Applications 10 London Mathematical Society Student Texts Series Number 10 by Nigel Cutland

      Publisher: Cambridge University Press
      Publication Date: 10/13/1988 12:00:00 AM
      ISBN13: 9780521359474, 978-0521359474
      ISBN10: 0521359473

      Description

      Book Synopsis
      This textbook is an introduction to non-standard analysis and to its many applications. Non standard analysis (NSA) is a subject of great research interest both in its own right and as a tool for answering questions in subjects such as functional analysis, probability, mathematical physics and topology. The book arises from a conference held in July 1986 at the University of Hull which was designed to provide both an introduction to the subject through introductory lectures, and surveys of the state of research. The first part of the book is devoted to the introductory lectures and the second part consists of presentations of applications of NSA to dynamical systems, topology, automata and orderings on words, the non- linear Boltzmann equation and integration on non-standard hulls of vector lattices. One of the book's attractions is that a standard notation is used throughout so the underlying theory is easily applied in a number of different settings. Consequently this book will be id

      Table of Contents
      Preface; Contributors; 1. An invitation to non standard analysis Tom Lindstrøm; 2. Infinitesimal in probability theory H. Jerome Keisler; 3. Infinitesimals in functional analysis C. Ward Henson; 4. Applications of non standard analysis in mathematical physics Sergio Albervio; 5. A lattice formulation of real and vector valued integrals Peter A. Loeb; 6. An application of non standard methods to computational group theory B. Benninghofen and M.M. Richter; 7. Syntactical methods in infinitesimal analysis Francine Deiner and Keith D. Stroyan; 8. Some asymptotic results in ordinary differential equations Francine and Marc Diener; 9. Superinfinitesimals and inductive limits Keith D. Stroyan; 10. The non-linear boltzmann equation far from equilibrium Leif Arkeryd; Index.

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