Overview
- Promote discussion on the very activity field of fractal geometry and its aspects in analysis, dynamical systems and stochastics
- Written by international leading experts on their current research in an expository style
- Suitable for both researchers as well as graduate students with reasonable background in analysis or probability
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 88)
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About this book
This volume collects thirteen expository or survey articles on topics including Fractal Geometry, Analysis of Fractals, Multifractal Analysis, Ergodic Theory and Dynamical Systems, Probability and Stochastic Analysis, written by the leading experts in their respective fields. The articles are based on papers presented at the International Conference on Advances on Fractals and Related Topics, held on December 10-14, 2012 at the Chinese University of Hong Kong. The volume offers insights into a number of exciting, cutting-edge developments in the area of fractals, which has close ties to and applications in other areas such as analysis, geometry, number theory, probability and mathematical physics.
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Table of contents (13 papers)
Editors and Affiliations
Bibliographic Information
Book Title: Geometry and Analysis of Fractals
Book Subtitle: Hong Kong, December 2012
Editors: De-Jun Feng, Ka-Sing Lau
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-662-43920-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-662-43919-7Published: 15 August 2014
Softcover ISBN: 978-3-662-51376-7Published: 10 September 2016
eBook ISBN: 978-3-662-43920-3Published: 01 August 2014
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: VIII, 358
Number of Illustrations: 47 b/w illustrations
Topics: Mathematics, general, Measure and Integration, Dynamical Systems and Ergodic Theory, Probability Theory and Stochastic Processes