Basic Analysis III: Mappings on Infinite Dimensional Spaces

Basic Analysis III: Mappings on Infinite Dimensional Spaces is intended as a first course in abstract linear analysis. This textbook cover metric spaces, normed linear spaces and inner product spaces, along with many other deeper abstract ideas such a completeness, operators and dual spaces. These topics act as an important tool in the development of a mathematically trained scientist.

Feature:

  • Can be used as a traditional textbook as well as for self-study
  • Suitable for undergraduates in mathematics and associated disciplines
  • Emphasizes learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions
1135350517
Basic Analysis III: Mappings on Infinite Dimensional Spaces

Basic Analysis III: Mappings on Infinite Dimensional Spaces is intended as a first course in abstract linear analysis. This textbook cover metric spaces, normed linear spaces and inner product spaces, along with many other deeper abstract ideas such a completeness, operators and dual spaces. These topics act as an important tool in the development of a mathematically trained scientist.

Feature:

  • Can be used as a traditional textbook as well as for self-study
  • Suitable for undergraduates in mathematics and associated disciplines
  • Emphasizes learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions
105.49 In Stock
Basic Analysis III: Mappings on Infinite Dimensional Spaces

Basic Analysis III: Mappings on Infinite Dimensional Spaces

by James K. Peterson
Basic Analysis III: Mappings on Infinite Dimensional Spaces

Basic Analysis III: Mappings on Infinite Dimensional Spaces

by James K. Peterson

eBook

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Overview

Basic Analysis III: Mappings on Infinite Dimensional Spaces is intended as a first course in abstract linear analysis. This textbook cover metric spaces, normed linear spaces and inner product spaces, along with many other deeper abstract ideas such a completeness, operators and dual spaces. These topics act as an important tool in the development of a mathematically trained scientist.

Feature:

  • Can be used as a traditional textbook as well as for self-study
  • Suitable for undergraduates in mathematics and associated disciplines
  • Emphasizes learning how to understand the consequences of assumptions using a variety of tools to provide the proofs of propositions

Product Details

ISBN-13: 9781351679299
Publisher: CRC Press
Publication date: 07/19/2020
Sold by: Barnes & Noble
Format: eBook
Pages: 468
File size: 22 MB
Note: This product may take a few minutes to download.

About the Author

James Peterson has been an associate professor in the School of Mathematical and Statistical Sciences
since 1990. He tries hard to build interesting models of complex phenomena using a blend of mathematics, computation and science. To this end, he has written four books on how to teach such things to biologists and cognitive scientists. These books grew out of his Calculus for Biologists courses offered to the biology majors from 2007 to 2016.

He has taught the analysis courses since he started teaching both at Clemson and at his previous post at Michigan Technological University. In between, he spent time as a senior engineer in various aerospace firms and even did a short stint in a software development company. The problems he was exposed to were very hard and not amenable to solution using just one approach. Using tools from many branches of mathematics, from many types of computational languages and from first principles analysis of natural phenomena was absolutely essential to make progress.

In both mathematical and applied areas, students often need to use advanced mathematics tools they have not
learned properly. So recently, he has written a series of books on analysis to help researchers with the problem
of learning new things after their degrees are done and they are practicing scientists. Along the way, he has also written papers in immunology, cognitive science and neural network technology in addition to having grants from NSF, NASA and the Army.

He also likes to paint, build furniture and write stories.

Table of Contents

I. Introduction II. Metric Spaces. 2. Metric Spaces. 3. Completing a Metric Space. III. Normed Linear Spaces. 4. Vector Spaces. 5. Normed Linear Spaces. 6. Linear Operators on Normed Spaces. IV. Inner Product Spaces. 7. Inner Product Spaces. 8. Hilbert Spaces. 9. Dual Spaces. 10. Hahn - Banach Results. 11. More About Dual Spaces. 12. Some Classical Results. V. Operators. 13. Sturm–Liouville Operators. 14. Self Adjoint Operators. VI. Topics in Applied Modeling. 15. Fields and Charges on a Set. 16. Games. VII. Summing It All Up. VIII. References. IX. Detailed Indices.

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