Basic Analysis V
Functional Analysis and Topology
1st Edition
Published on 8. September 2021
Book
Hardback
574 pages
978-1-138-05513-1 (ISBN)
Description
Basic Analysis V: Functional Analysis and Topology introduces graduate students in science to concepts from topology and functional analysis, both linear and nonlinear. It is the fifth book in a series designed to train interested readers how to think properly using mathematical abstractions, and how to use the tools of mathematical analysis in applications.
It is important to realize that the most difficult part of applying mathematical reasoning to a new problem domain is choosing the underlying mathematical framework to use on the problem. Once that choice is made, we have many tools we can use to solve the problem. However, a different choice would open up avenues of analysis from a different, perhaps more productive, perspective.
In this volume, the nature of these critical choices is discussed using applications involving the immune system and cognition.
Features
Develops a proof of the Jordan Canonical form to show some basic ideas in algebraic topology
Provides a thorough treatment of topological spaces, finishing with the Krein-Milman theorem
Discusses topological degree theory (Brouwer, Leray-Schauder, and Coincidence)
Carefully develops manifolds and functions on manifolds ending with Riemannian metrics
Suitable for advanced students in mathematics and associated disciplines
Can be used as a traditional textbook as well as for self-study
Author
James K. Peterson is an Emeritus Professor at the School of Mathematical and Statistical Sciences, Clemson University.
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 2015.
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, he has recently written a series of five books on mathematical analysis to help researchers with the problem of learning new things after they have earned their degrees and 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 the NSF, NASA, and the US Army.
He also likes to paint, build furniture, and write stories.
It is important to realize that the most difficult part of applying mathematical reasoning to a new problem domain is choosing the underlying mathematical framework to use on the problem. Once that choice is made, we have many tools we can use to solve the problem. However, a different choice would open up avenues of analysis from a different, perhaps more productive, perspective.
In this volume, the nature of these critical choices is discussed using applications involving the immune system and cognition.
Features
Develops a proof of the Jordan Canonical form to show some basic ideas in algebraic topology
Provides a thorough treatment of topological spaces, finishing with the Krein-Milman theorem
Discusses topological degree theory (Brouwer, Leray-Schauder, and Coincidence)
Carefully develops manifolds and functions on manifolds ending with Riemannian metrics
Suitable for advanced students in mathematics and associated disciplines
Can be used as a traditional textbook as well as for self-study
Author
James K. Peterson is an Emeritus Professor at the School of Mathematical and Statistical Sciences, Clemson University.
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 2015.
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, he has recently written a series of five books on mathematical analysis to help researchers with the problem of learning new things after they have earned their degrees and 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 the NSF, NASA, and the US Army.
He also likes to paint, build furniture, and write stories.
Reviews / Votes
"Mathematics is fortunate to be populated by bright practitioners. Nonetheless, amongst these we are fortunate to have rare individuals who are wise. Professor Peterson is a member of this distinguished group. His works clearly demonstrate the importance of a long career of research and teaching where he combines the two perspectives of: (1) clearly understanding the needs of diverse readers for clear exposition that scaffolds their exposure to complex material with a transparency about both where they are going and what the utility is of what they are currently reading; and, (2) the benefits of having used the mathematics under consideration in so many diverse applications. The masterly synthesis of so much complex material by a single individual is a superb achievement which will reward serious readers with insight, surprise, and breadth as well as depth."- Professor John R. Jungck, University of Delaware
"Analysis is the bedrock of rigorous mathematical thinking and abstraction. Prof. Peterson's book does a fascinating job by taking a critical approach - highly recommended."
- Professor Nithin Nagaraj, National Institute of Advanced Studies
"Dr. Peterson's thoughtful and detailed explanations reflect his insights to a very fundamental but complex subject in Mathematics. The treatment in the book does justice to recent trends in Mathematical Analysis while staying true to the classical spirit of the subject. A thoroughly enjoyable read."
- Professor Snehanshu Saha, BITS PIlani (K K Birla Goa Campus)
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
40 s/w Abbildungen, 40 s/w Zeichnungen
40 Line drawings, black and white; 40 Illustrations, black and white
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 36 mm
Weight
1286 gr
ISBN-13
978-1-138-05513-1 (9781138055131)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2023
1st Edition
Chapman & Hall/CRC
€55.70
The article will not be published
E-Book
09/2021
1st Edition
Chapman & Hall/CRC
€205.99
Available for download
E-Book
09/2021
1st Edition
Chapman & Hall/CRC
€205.99
Available for download
Person
Author
James K. Peterson is an Emeritus Professor at the School of Mathematical and Statistical Sciences, Clemson University.
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 2015.
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, he has recently written a series of five books on mathematical analysis to help researchers with the problem of learning new things after they have earned their degrees and 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 the NSF, NASA, and the US Army.
He also likes to paint, build furniture, and write stories.
James K. Peterson is an Emeritus Professor at the School of Mathematical and Statistical Sciences, Clemson University.
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 2015.
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, he has recently written a series of five books on mathematical analysis to help researchers with the problem of learning new things after they have earned their degrees and 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 the NSF, NASA, and the US Army.
He also likes to paint, build furniture, and write stories.
Content
I. Introduction. 1. Introduction. II. Some Algebraic Topology. 2. Basic Metric Space Topology. 3. Forms and Curves. 4. The Jordan Curve Theorem. III. Deeper Topological Ideas. 5. Vector Spaces and Topology. 6. Locally Convex Spaces and Seminorms. 7. A New Look at Linear Functionals. 8. Deeper Results on Linear Functionals. 9. Stone-Weierstrass Results. IV. Topological Degree Theory. 10. Brouwer Degree Theory. 11 Leray-Schauder Degree. 12. Coincidence Degree. V. Manifolds. 13. Manifolds. 14. Smooth Functions on Manifolds. 15. The Global Structure of Manifolds. VI. Emerging Topologies. 16. Asynchronous Computation. 17. Signal Models and Autoimmune Disease. 18. Bar Code Computations in Consciousness Models. VII. Summing It All Up. 19. Summing It All Up. VIII. References. IX. Detailed Index.