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Metric Spaces = A Companion to Analysis /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Metric Spaces/ by Robert Magnus.
Reminder of title:
A Companion to Analysis /
Author:
Magnus, Robert.
Description:
XIX, 244 p. 11 illus., 1 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Analysis. -
Online resource:
https://doi.org/10.1007/978-3-030-94946-4
ISBN:
9783030949464
Metric Spaces = A Companion to Analysis /
Magnus, Robert.
Metric Spaces
A Companion to Analysis /[electronic resource] :by Robert Magnus. - 1st ed. 2022. - XIX, 244 p. 11 illus., 1 illus. in color.online resource. - Springer Undergraduate Mathematics Series,2197-4144. - Springer Undergraduate Mathematics Series,.
This textbook presents the theory of Metric Spaces necessary for studying analysis beyond one real variable. Rich in examples, exercises and motivation, it provides a careful and clear exposition at a pace appropriate to the material. The book covers the main topics of metric space theory that the student of analysis is likely to need. Starting with an overview defining the principal examples of metric spaces in analysis (chapter 1), it turns to the basic theory (chapter 2) covering open and closed sets, convergence, completeness and continuity (including a treatment of continuous linear mappings). There is also a brief dive into general topology, showing how metric spaces fit into a wider theory. The following chapter is devoted to proving the completeness of the classical spaces. The text then embarks on a study of spaces with important special properties. Compact spaces, separable spaces, complete spaces and connected spaces each have a chapter devoted to them. A particular feature of the book is the occasional excursion into analysis. Examples include the Mazur–Ulam theorem, Picard’s theorem on existence of solutions to ordinary differential equations, and space filling curves. This text will be useful to all undergraduate students of mathematics, especially those who require metric space concepts for topics such as multivariate analysis, differential equations, complex analysis, functional analysis, and topology. It includes a large number of exercises, varying from routine to challenging. The prerequisites are a first course in real analysis of one real variable, an acquaintance with set theory, and some experience with rigorous proofs.
ISBN: 9783030949464
Standard No.: 10.1007/978-3-030-94946-4doiSubjects--Topical Terms:
669490
Analysis.
LC Class. No.: QA299.6-433
Dewey Class. No.: 515
Metric Spaces = A Companion to Analysis /
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This textbook presents the theory of Metric Spaces necessary for studying analysis beyond one real variable. Rich in examples, exercises and motivation, it provides a careful and clear exposition at a pace appropriate to the material. The book covers the main topics of metric space theory that the student of analysis is likely to need. Starting with an overview defining the principal examples of metric spaces in analysis (chapter 1), it turns to the basic theory (chapter 2) covering open and closed sets, convergence, completeness and continuity (including a treatment of continuous linear mappings). There is also a brief dive into general topology, showing how metric spaces fit into a wider theory. The following chapter is devoted to proving the completeness of the classical spaces. The text then embarks on a study of spaces with important special properties. Compact spaces, separable spaces, complete spaces and connected spaces each have a chapter devoted to them. A particular feature of the book is the occasional excursion into analysis. Examples include the Mazur–Ulam theorem, Picard’s theorem on existence of solutions to ordinary differential equations, and space filling curves. This text will be useful to all undergraduate students of mathematics, especially those who require metric space concepts for topics such as multivariate analysis, differential equations, complex analysis, functional analysis, and topology. It includes a large number of exercises, varying from routine to challenging. The prerequisites are a first course in real analysis of one real variable, an acquaintance with set theory, and some experience with rigorous proofs.
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