Introduction To The Analysis Of Metric Spaces


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Introduction to the Analysis of Metric Spaces


Introduction to the Analysis of Metric Spaces

Author: John R. Giles

language: en

Publisher: Cambridge University Press

Release Date: 1987-09-03


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Assuming a basic knowledge of real analysis and linear algebra, the student is given some familiarity with the axiomatic method in analysis and is shown the power of this method in exploiting the fundamental analysis structures underlying a variety of applications. Although the text is titled metric spaces, normed linear spaces are introduced immediately because this added structure is present in many examples and its recognition brings an interesting link with linear algebra; finite dimensional spaces are discussed earlier. It is intended that metric spaces be studied in some detail before general topology is begun. This follows the teaching principle of proceeding from the concrete to the more abstract. Graded exercises are provided at the end of each section and in each set the earlier exercises are designed to assist in the detection of the abstract structural properties in concrete examples while the latter are more conceptually sophisticated.

Introduction to the Analysis of Metric Spaces


Introduction to the Analysis of Metric Spaces

Author: John R. Giles

language: en

Publisher:

Release Date: 1987


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Introduction to the Analysis of Normed Linear Spaces


Introduction to the Analysis of Normed Linear Spaces

Author: J. R. Giles

language: en

Publisher: Cambridge University Press

Release Date: 2000-03-13


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This is a basic course in functional analysis for senior undergraduate and beginning postgraduate students. The reader need only be familiarity with elementary real and complex analysis, linear algebra and have studied a course in the analysis of metric spaces; knowledge of integration theory or general topology is not required. The text concerns the structural properties of normed linear spaces in general, especially associated with dual spaces and continuous linear operators on normed linear spaces. The implications of the general theory are illustrated with a great variety of example spaces.


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