The core chapters of this volume provide a complete course on metric, normed, and Hilbert spaces, and include many results and exercises seldom found in texts on analysis at this level. The author covers an unusually wide range of material in a clear and concise format including elementary real analysis, Lebesgue integration on R, and an introduction to functional analysis. This makes a versatile text also suited for courses on real analysis, metric spaces, abstract analysis, and modern analysis

Preface
Introduction
Ⅰ Real Analysis
1 Analysis on the Real Line
1.1 The Real Number Line
1.2 Sequences and Series
1.3 Open and Closed Subsets of the Line
1.4 Limits and Continuty
1.5 Calculus
2 Differentiation and the Lebesgue Integeral
2.1 Outer Measure and Vitali's Covering Theorem
2.2 The Lebesgue Integral as an Antiderivative
2.3 Measurable Sets and Functions
Ⅱ Abstract Analysis
3 Analysis in Metric Spaces
3.1 Metric and Topological Spaces
3.2 Continuity,Convergence,and,Completeness
3.3 Compactness
3.4 Connectedness
3.5 Connect Metric Spaces
4 Analysis in Normde Linear Spaces
4.1 Normde Linear Spaces
4.2 Linear Mappings and Hyperplanes
4.3 Finite-Dimensional Nwrmed Spacds
4.4 The Lp Spaces
4.5 Function Spaces
4.6 The Theorems of Weierstrass and Stone
4.7 Fixde Points and Differential Equations
5 Hilbert Spaces
5.1 Inner Prduets
5.2 Orthogonality and Projections
5.3 The Dual of a Hibert Space
6 An Introduction to Functional Analysis
6.1 The Hahn-Banach Theorem
6.2 Separation Theorems
6.3 Baire's Theorem and Beyond
A What is a Real Number?
B Pareto Optimality
References
Indes