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Self-similar and self-affine sets and measures / Balázs Bárány, Károly Simon, Boris Solomyak.
Author
Bárány, Balázs, 1984-
[Browse]
Format
Book
Language
English
Published/Created
Providence, Rhode Island : American Mathematical Society, [2023]
Description
xii, 451 pages : illustrations (some color) ; 26 cm.
Details
Subject(s)
Self-similar processes
[Browse]
Fractals
[Browse]
Hausdorff measures
[Browse]
Author
Simon, Károly, 1961-
[Browse]
Solomyak, Boris, 1959-
[Browse]
Series
Mathematical surveys and monographs ; no. 276.
[More in this series]
Mathematical surveys and monographs, 0076-5376 ; Volume 276
[More in this series]
Summary note
"Although there is no precise definition of a "fractal", it is usually understood to be a set whose smaller parts, when magnified, resemble the whole. Self-similar and self-affine sets are those for which this resemblance is precise and given by a contracting similitude or affine transformation. The present book is devoted to this most basic class of fractal objects. The book contains both introductory material for beginners and more advanced topics, which continue to be the focus of active research. Among the latter are self-similar sets and measures with overlaps, including the much-studied infinite Bernoulli convolutions. Self-affine systems pose additional challenges; their study is often based on ergodic theory and dynamical systems methods. In the last twenty years there have been many breakthroughs in these fields, and our aim is to give introduction to some of them, often in the simplest nontrivial cases"-- Publisher's website.
Bibliographic references
Includes bibliographical references (pages 429-445) and index.
ISBN
9781470470463 (paperback)
1470470462 (paperback)
LCCN
2023030385
OCLC
1401628230
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Self-Similar and Self-affine Sets and Measures / Balázs Bárány, Károly Simon, and Boris Solomyak.
id
99129138686906421