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9780470226766

Mathematical Analysis : A Concise Introduction

by
  • ISBN13:

    9780470226766

  • ISBN10:

    0470226765

  • Format: eBook
  • Copyright: 2008-01-01
  • Publisher: Wiley-Interscience
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Summary

A self-contained introduction to the fundamentals of mathematical analysis Mathematical Analysis: A Concise Introduction presents the foundations of analysis and illustrates its role in mathematics. By focusing on the essentials, reinforcing learning through exercises, and featuring a unique "learn by doing" approach, the book develops the reader's proof writing skills and establishes fundamental comprehension of analysis that is essential for further exploration of pure and applied mathematics. This book is directly applicable to areas such as differential equations, probability theory, numerical analysis, differential geometry, and functional analysis. Mathematical Analysis is composed of three parts: ?Part One presents the analysis of functions of one variable, including sequences, continuity, differentiation, Riemann integration, series, and the Lebesgue integral. A detailed explanation of proof writing is provided with specific attention devoted to standard proof techniques. To facilitate an efficient transition to more abstract settings, the results for single variable functions are proved using methods that translate to metric spaces. ?Part Two explores the more abstract counterparts of the concepts outlined earlier in the text. The reader is introduced to the fundamental spaces of analysis, including Lp spaces, and the book successfully details how appropriate definitions of integration, continuity, and differentiation lead to a powerful and widely applicable foundation for further study of applied mathematics. The interrelation between measure theory, topology, and differentiation is then examined in the proof of the Multidimensional Substitution Formula. Further areas of coverage in this section include manifolds, Stokes' Theorem, Hilbert spaces, the convergence of Fourier series, and Riesz' Representation Theorem. ?Part Three provides an overview of the motivations for analysis as well as its applications in various subjects. A special focus on ordinary and partial differential equations presents some theoretical and practical challenges that exist in these areas. Topical coverage includes Navier-Stokes equations and the finite element method. Mathematical Analysis: A Concise Introduction includes an extensive index and over 900 exercises ranging in level of difficulty, from conceptual questions and adaptations of proofs to proofs with and without hints. These opportunities for reinforcement, along with the overall concise and well-organized treatment of analysis, make this book essential for readers in upper-undergraduate or beginning graduate mathematics courses who would like to build a solid foundation in analysis for further work in all analysis-based branches of mathematics.

Table of Contents

Preface
Analysis Of Functions Of A Single Real Variable
The Real Numbers
Field Axioms
Order Axioms
Lowest Upper and Greatest Lower Bounds
Natural Numbers, Integers and Rational Numbers
Recursion, Induction, Summations and Products
Sequences of Real Numbers
Limits
Limit Laws
Cauchy Sequences
Bounded Sequences
Infinite Limits
Continuous Functions
Limits of Functions
Limit Laws
One-Sided Limits and Infinite Limits
Continuity
Properties of Continuous Functions
Limits at Infinity
Differentiable Functions
Differentiability
Differentiation Rules
Rolle's Theorem and the Mean Value Theorem
The Riemann Integral I
Riemann Sums and the Integral
Uniform Continuity and Integrability of Continuous Functions
The Fundamental Theorem of Calculus
The Darboux Integral
Series of Real Numbers I
Series as a Vehicle to Define Infinite Sums
Absolute Convergence and Unconditional Convergence
Some Set Theory
The Algebra of Sets
Countable Sets
Uncountable Sets
The Riemann Integral II
Outer Lebesgue Measure
Lebesgue's Criterion for Riemann Integrability
More Integral Theorems
Improper Riemann Integrals
The Lebesgue Integral
Lebesgue Measurable Sets
Lebesgue Measurable Functions
Lebesgue Integration
Lebesgue Integrals vs. Riemann Integrals
Series of Real Numbers II
Limits Superior and Inferior
The Root Test and the Ratio Test
Power Series
Sequences of Functions
Notions of Convergence
Uniform Convergence
Transcendental Functions
The Exponential Function
Sine and Cosine
L?H?opital's Rule
Numerical Methods 203
Approximation with Taylor Polynomials
Newton's Method
Numerical Integration
Analysis In Abstract Spaces
Integration on Measure Spaces
Measure Spaces
Outer Measures
Measurable Functions
Integration of Measurable Functions
Monotone and Dominated Convergence
Convergence in Mean, in Measure and Almost Everywhere
Product _-Algebras
Product Measures and Fubini's Theorem
The Abstract Venues for Analysis
Abstraction I: Vector Spaces
Representation of Elements: Bases and Dimension
Identification of Spaces: Isomorphism
Abstraction II: Inner Product Spaces
Nicer Representations: Orthonormal Sets
Abstraction III: Normed Spaces
Abstraction IV: Metric Spaces
L p Spaces
Another Number Field: Complex Numbers
The Topology of Metric Spaces
Convergence of Sequences
Completeness
Continuous Functions
Open and Closed Sets
Compactness
The Normed Topology of Rd
Dense Subspaces
Connectedness
Locally Compact Spaces
Differentiation in Normed Spaces
Continuous Linear Functions
Matrix Representation of Linear Functions
Differentiability
The Mean Value Theorem
How Partial Derivatives Fit In
Multilinear Functions (Tensors
Higher Derivatives
The Implicit Function Theorem
Measure, Topology and Differentiation
Lebesgue Measurable Sets in Rd
C1 and Approximation of Integrable Functions
Tensor Algebra and Determinants
Multidimensional Substitution
Manifolds and Integral Theorems
Manifolds
Tangent Spaces and Differentiable Functions
Differential Forms, Integrals over The Unit Cube
k-Forms and Integrals over k-Chains
Integration on Manifolds
Stokes' Theorem
Hilbert Spaces
Orthonormal Bases
Fourier Series
The Riesz Representation Theorem
Applied Analysis
Physics Background
Harmonic Oscillation
Heat and Diffusion
Separation of Variables, Fourier Series and Ordinary Differential Equations
Maxwell's Equations
The Navier Stokes Equation for the Conservation of Mass
Ordinary Differential Equations
Banach Space Valued Differential Equations
An Existence and Uniqueness Theorem
Linear Differential Equations
The Finite Element Method
Ritz-Galerkin Approximation
Weakly Differentiable Functions
Sobolev Spaces
Elliptic Differential Operators
Finite Elements
Conclusion and Outlook
Appendices
Logic
Statements
Negations
Set Theory
The Zermelo-Fraenkel Axioms
Relations and Functions
Natural Numbers, Integers and Rational Numbers
The Natural Numbers
The Integers
The Rational Numbers
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

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