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Index analysis = approach theory at work /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Index analysis/ by R. Lowen.
其他題名:	approach theory at work /
作者:	Lowen, R.
出版者:	London :Springer London : : 2015.,
面頁冊數:	xxi, 466 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Index theory (Mathematics) -
電子資源:	http://dx.doi.org/10.1007/978-1-4471-6485-2
ISBN:	9781447164852 (electronic bk.)

Index analysis = approach theory at work /
Lowen, R.

Index analysisapproach theory at work /[electronic resource] :by R. Lowen. - London :Springer London :2015. - xxi, 466 p. :ill., digital ;24 cm. - Springer monographs in mathematics,1439-7382. - Springer monographs in mathematics..

Approach spaces -- Topological and metric approach spaces -- Approach invariants -- Index analysis -- Uniform gauge spaces -- Extensions of spaces and morphisms -- Approach theory meets Topology -- Approach theory meets Functional analysis -- Approach theory meets Probability -- Approach theory meets Hyperspaces -- Approach theory meets DCPO's and Domains -- Categorical considerations.

A featured review of the AMS describes the author’s earlier work in the field of approach spaces as, 'A landmark in the history of general topology'. In this book, the author has expanded this study further and taken it in a new and exciting direction. The number of conceptually and technically different systems which characterize approach spaces is increased and moreover their uniform counterpart, uniform gauge spaces, is put into the picture. An extensive study of completions, both for approach spaces and for uniform gauge spaces, as well as compactifications for approach spaces is performed. A paradigm shift is created by the new concept of index analysis. Making use of the rich intrinsic quantitative information present in approach structures, a technique is developed whereby indices are defined that measure the extent to which properties hold, and theorems become inequalities involving indices; therefore vastly extending the realm of applicability of many classical results. The theory is then illustrated in such varied fields as topology, functional analysis, probability theory, hyperspace theory and domain theory. Finally a comprehensive analysis is made concerning the categorical aspects of the theory and its links with other topological categories. Index Analysis will be useful for mathematicians working in category theory, topology, probability and statistics, functional analysis, and theoretical computer science.

ISBN: 9781447164852 (electronic bk.)

Standard No.: 10.1007/978-1-4471-6485-2doiSubjects--Topical Terms:

669689
Index theory (Mathematics)

LC Class. No.: QA614.92

Dewey Class. No.: 514.74

Index analysis = approach theory at work /
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520 $a A featured review of the AMS describes the author’s earlier work in the field of approach spaces as, 'A landmark in the history of general topology'. In this book, the author has expanded this study further and taken it in a new and exciting direction. The number of conceptually and technically different systems which characterize approach spaces is increased and moreover their uniform counterpart, uniform gauge spaces, is put into the picture. An extensive study of completions, both for approach spaces and for uniform gauge spaces, as well as compactifications for approach spaces is performed. A paradigm shift is created by the new concept of index analysis. Making use of the rich intrinsic quantitative information present in approach structures, a technique is developed whereby indices are defined that measure the extent to which properties hold, and theorems become inequalities involving indices; therefore vastly extending the realm of applicability of many classical results. The theory is then illustrated in such varied fields as topology, functional analysis, probability theory, hyperspace theory and domain theory. Finally a comprehensive analysis is made concerning the categorical aspects of the theory and its links with other topological categories. Index Analysis will be useful for mathematicians working in category theory, topology, probability and statistics, functional analysis, and theoretical computer science.
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