Mathematical Analysis II

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Format: Paperback
Pub. Date: 2008-12-01
Publisher(s): Springer Nature
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Summary

This softcover edition of a very popular two-volume work presents a thorough first course in analysis, leading from real numbers to such advanced topics as differential forms on manifolds, asymptotic methods, integral transforms, and distributions. Especially notable in this course is the clearly expressed orientation toward the natural sciences and its informal exploration of the essence and the roots of the basic concepts and theorems of calculus. Clarity of exposition is matched by a wealth of instructive exercises, problems and fresh applications to areas seldom touched on in real analysis books.The second volume expounds classical analysis as it is today, as a part of unified mathematics, and its interactions with modern mathematical courses such as algebra, differential geometry, differential equations, complex and functional analysis. The book provides a firm foundation for advanced work in any of these directions.

Table of Contents

Contents of Volume II
Prefaces
Preface to the fourth edition
Prefact to the third edition
Preface to the second edition
Preface to the first edition
Continuous Mappings (General Theory)
Metric spaces
Definitions and examples
Open and closed subsets of a metric space
Subspaces of a metric space
The direct product of metric spaces
Problems and exercises
Topological spaces
Basic definitions
Subspaces of a topological space
The direct product of topological spaces
Problems and exercises
Compact sets
Definition and general properties of compact sets
Metric compact sets
Problems and exercises
Connected topological spaces
Problems and exercises
Complete metric spaces
Basic definitions and examples
The completion of a metric space
Problems and exercises
Continuous mappings of topological spaces
The limit of a mapping
Continuous mappings
Problems and exercises
The contraction mapping principle
Problems and exercises
*Differential Calculus from a General Viewpoint
Normed vector spaces
Some examples of the vector spaces of analysis
Norms in vector spaces
Inner products in a vector space
Problems and exercises
Linear and multilinear transformations
Definitions and examples
The norm of a transformation
The space of continuous transformations
Problems and exercises
The differential of a mapping
Mappings differentiable at a point
The general rules for differentiation
Some examples
The partial deriatives of a mapping
Problems and exercises
The mean-value theorem and some examples of its use
The mean-value theorem
Some applications of the mean-value theorem
Problems and exercises
Higher-order derivatives
Definition of the nth differential
The derivative with respect to a vector and the computation of the values of the nth differential
Symmetry of the higher-order differentials
Some remarks
Problems and exercises
Taylor's formula and methods of finding extrema
Taylor's formula for mappings
Methods of finding interior extrema
Some examples
Problems and exercises
The general implicit function theorem
Problems and exercises11 Multiple Integrals
The Riemann integral over an n-dimensional interval
Definition of the integral
The Lebesgue criterion for Riemann integrability
The Darboux criterion
Table of Contents provided by Publisher. All Rights Reserved.

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