Authors:
- Explicit evaluation and approximation of bounded variation functionals on metric spaces
- Highlighted feature includes a deep study of a special type of lower semicontinuous functionals
- Accessible to upper undergraduate students taking courses in mathematical and functional analysis
Part of the book series: SpringerBriefs in Optimization (BRIEFSOPTI)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
The book presents a thorough, self-contained study of the approximate variation and results which were not published previously in book form. The approximate variation is illustrated by a large number of examples designed specifically for this study. The discussion elaborates on the state-of-the-art pointwise selection principles applied to functions with values in metric spaces, normed spaces, reflexive Banach spaces, and Hilbert spaces. The highlighted feature includes a deep study of special type of lower semicontinuous functionals though the applied methods are of a general nature. The content is accessible to students with some background in real analysis, general topology, and measure theory.
Among the new results presented are properties of the approximate variation: semi-additivity, change of variable formula, subtle behavior with respect to uniformly and pointwise convergent sequences of functions, and the behavior on improper metric spaces. These properties are crucial for pointwise selection principles in which the key role is played by the limit superior of the approximate variation. Interestingly, pointwise selection principles may be regular, treating regulated limitfunctions, and irregular, treating highly irregular functions (e.g., Dirichlet-type functions), in which a significant role is played by Ramsey’s Theorem from formal logic.
Authors and Affiliations
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Department of Informatics, Mathematics, and Computer Sciences, National Research University Higher School of Economics, Nizhny Novgorod, Russia
Vyacheslav V. Chistyakov
About the author
Bibliographic Information
Book Title: From Approximate Variation to Pointwise Selection Principles
Authors: Vyacheslav V. Chistyakov
Series Title: SpringerBriefs in Optimization
DOI: https://doi.org/10.1007/978-3-030-87399-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87398-1Published: 23 October 2021
eBook ISBN: 978-3-030-87399-8Published: 22 October 2021
Series ISSN: 2190-8354
Series E-ISSN: 2191-575X
Edition Number: 1
Number of Pages: XIII, 86
Number of Illustrations: 19 b/w illustrations
Topics: Optimization, Functional Analysis, Topology