Basic Analysis V : Functional Analysis and Topology

Title: Basic Analysis V : Functional Analysis and Topology
Author: James K. Peterson
ISBN: 1138055131 / 9781138055131
Format: Hard Cover
Pages: 586
Publisher: CHAPMAN & HALL
Year: 2022
Availability: In Stock

Tab Article

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

Tab Article

Part I : Introduction
Chapter 1 :
Introduction

Part II : Some Algebraic Topology
Chapter 2 :
Basic Metric Space Topology
Chapter 3 : Forms and Curves
Chapter 4 : The Jordan Curve Theorem

Part III : Deeper Topological Ideas
Chapter 5 :
Vector Spaces and Topology
Chapter 6 : Locally Convex Spaces and Seminorms
Chapter 7 : A New Look at Linear Functionals
Chapter 8 : Deeper Results on Linear Functionals
Chapter 9 : Stone - Weierstrass Results

Part IV : Topological Degree Theory
Chapter 10 :
Brouwer Degree Theory
Chapter 11 : Leray - Schauder Degree
Chapter 12 : Coincidence Degree

Part V : Manifolds
Chapter 13 :
Manifolds
Chapter 14 : Smooth Functions on Manifolds
Chapter 15 : The Global Structure of Manifolds

Part VI : Emerging Topologies
Chapter 16 :
Asynchronous Computation
Chapter 17 : Signal Models and Autoimmune Disease
Chapter 18 : Bar Code Computations in Consciousness Models

Part VII : Summing It All Up
Chapter 19 :
Summing It All Up

Part VIII : References
Part IX : Detailed Index