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Titlebook: Geometric Functional Analysis and its Applications; Richard B. Holmes Textbook 1975 Springer Science+Business Media New York 1975 Banach S

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发表于 2025-3-21 18:52:29 | 显示全部楼层 |阅读模式
书目名称Geometric Functional Analysis and its Applications
编辑Richard B. Holmes
视频video
丛书名称Graduate Texts in Mathematics
图书封面Titlebook: Geometric Functional Analysis and its Applications;  Richard B. Holmes Textbook 1975 Springer Science+Business Media New York 1975 Banach S
描述This book has evolved from my experience over the past decade in teaching and doing research in functional analysis and certain of its appli­ cations. These applications are to optimization theory in general and to best approximation theory in particular. The geometric nature of the subjects has greatly influenced the approach to functional analysis presented herein, especially its basis on the unifying concept of convexity. Most of the major theorems either concern or depend on properties of convex sets; the others generally pertain to conjugate spaces or compactness properties, both of which topics are important for the proper setting and resolution of optimization problems. In consequence, and in contrast to most other treatments of functional analysis, there is no discussion of spectral theory, and only the most basic and general properties of linear operators are established. Some of the theoretical highlights of the book are the Banach space theorems associated with the names of Dixmier, Krein, James, Smulian, Bishop-Phelps, Brondsted-Rockafellar, and Bessaga-Pelczynski. Prior to these (and others) we establish to two most important principles of geometric functional analysis
出版日期Textbook 1975
关键词Banach Space; Convexity; calculus; compactness; functional analysis
版次1
doihttps://doi.org/10.1007/978-1-4684-9369-6
isbn_softcover978-1-4684-9371-9
isbn_ebook978-1-4684-9369-6Series ISSN 0072-5285 Series E-ISSN 2197-5612
issn_series 0072-5285
copyrightSpringer Science+Business Media New York 1975
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Convexity in Linear Topological Spaces,ful methods based on topological concepts. Thus, as our next step, we consider the result of imposing on a given linear space a “compatible topology”. This is hardly a novel idea; indeed, several excellent books already exist which are devoted to a detailed investigation of the many ramifications of
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Principles of Banach Spaces, mappings, extreme points, etc. and the topological notions of openness, compactness, continuity, etc. For such a study the correct setting is, as we have seen, the linear topological space (frequently required also to be locally convex). The resulting theory is broad and powerful, as we hope has be
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Conjugate Spaces and Universal Spaces,ns for optimization theory as we shall see. We shall also establish an isomorphism between certain spaces of Lipschitz functions and certain spaces of L. type. A particular consequence of this is an example of a pair of Banach spaces (namely, .(ϰ.) and .([0, 1])) which fail to be isomorphic, yet whose conjugate spaces are isomorphic.
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Textbook 1975 These applications are to optimization theory in general and to best approximation theory in particular. The geometric nature of the subjects has greatly influenced the approach to functional analysis presented herein, especially its basis on the unifying concept of convexity. Most of the major the
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,Über das Dirichletsche Prinzip,rounded duality theory and it is interesting to discover that the maximal class of linear topologies which yields the requisite duality theory is precisely the class of topologies defined by a family of semi-norms.
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Convexity in Linear Topological Spaces,rounded duality theory and it is interesting to discover that the maximal class of linear topologies which yields the requisite duality theory is precisely the class of topologies defined by a family of semi-norms.
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