A Comprehensive Guide to A First Course In Real Analysis M H Protter And C B Morrey Pdf
A First Course In Real Analysis M H Protter And C B Morrey Pdf
If you are looking for a comprehensive textbook that covers all the essential topics in real analysis with clarity and rigor, you might want to check out A First Course In Real Analysis by Murray H. Protter and Charles B. Morrey Jr. This book, which has two editions published in 1977 and 1991, is part of the Undergraduate Texts in Mathematics series by Springer. It is suitable for students who have just completed a course in elementary calculus and want to learn more about the theoretical foundations and applications of analysis. It is also a valuable resource for teachers who want to design a one-year or two-semester course in real analysis that balances between theory and problem solving.
A First Course In Real Analysis M H Protter And C B Morrey Pdf
In this article, we will give you an overview of the book and its contents, and explain why it is a great choice for learning real analysis. We will also provide some links where you can download the pdf version of the book for free or purchase a hardcopy or ebook version from Springer or other online platforms.
The Real Number System
The first chapter of the book is devoted to the real number system, which is the foundation of real analysis. The authors review the basic properties and operations of real numbers, such as order, completeness, arithmetic, and absolute value. They also introduce some important concepts and constructions that are based on real numbers, such as rational numbers, irrational numbers, decimal expansions, intervals, supremum and infimum, density, and Archimedean property.
The main purpose of this chapter is to familiarize the students with the axiomatic approach to mathematics and to develop their skills in proving theorems. The authors provide many examples and exercises that illustrate how to use logical reasoning and mathematical induction to establish facts about real numbers and their subsets. They also discuss some common pitfalls and errors that students should avoid when writing proofs.
Continuity and Limits
The second chapter of the book deals with the concepts of continuity and limits of functions, which are essential for understanding differentiability and integrability. The authors define what it means for a function to be continuous at a point and on an interval, and give some examples of continuous and discontinuous functions. They also explain how to use the epsilon-delta definition of continuity to prove various properties and results about continuous functions, such as the intermediate value theorem, the extreme value theorem, and the preservation of boundedness.
The authors then introduce the notion of limits of functions at a point and at infinity, and show how to use the epsilon-delta definition of limits to prove some basic facts and rules about limits, such as uniqueness, algebraic operations, squeeze theorem, and comparison theorem. They also discuss some special types of limits, such as one-sided limits, infinite limits, and limits involving trigonometric functions.
Basic Properties of Functions on ℝ1
The third chapter of the book focuses on some important theorems and results about functions on the real line, such as Rolle's theorem, the mean value theorem, L'Hospital's rule, Taylor's theorem, inverse functions, monotone functions, convex functions, and fixed point theorem. The authors explain how these results can be used to study various aspects of functions on ℝ1, such as differentiability, integrability, zeros, extrema, concavity, asymptotes, graphs, and iterations.
The authors also provide many examples and exercises that illustrate how to apply these results to solve various problems involving functions on ℝ1. For instance, they show how to use Rolle's theorem and the mean value theorem to prove inequalities or estimate errors; how to use L'Hospital's rule and Taylor's theorem to evaluate limits or approximate functions; how to use inverse functions and monotone functions to find antiderivatives or inverse trigonometric functions; how to use convex functions and fixed point theorem to prove inequalities or existence of solutions.
Elementary Theory of Differentiation
The fourth chapter of the book develops the definition and rules of differentiation for functions on ℝ1. The authors define what it means for a function to be differentiable at a point and on an interval, and give some examples of differentiable and nondifferentiable functions. They also explain how to use the limit definition of derivative to calculate derivatives of simple functions, such as polynomials, rational functions, exponential functions, logarithmic functions, and trigonometric functions.
The authors then present some basic properties and techniques of differentiation, such as algebraic operations, chain rule, product rule, quotient rule, power rule, implicit differentiation, and logarithmic differentiation. They also prove some important results about derivatives, such as Fermat's theorem, Rolle's theorem, the mean value theorem, L'Hospital's rule, Taylor's theorem, and Darboux's theorem. They also discuss some applications of differentiation to optimization problems and curve sketching.
Elementary Theory of Integration
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