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Vectorial multifractal measures theories and applications to branching random walks Najmeddine Attia, Amal Mahjoub

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Attia, Najmeddine, author.
Mahjoub, Amal, author.
Series:
SpringerBriefs in mathematics 2191-8201
SpringerBriefs in Mathematics 2191-8201
Language:
English
Subjects (All):
Multifractals.
Fractal analysis.
Random walks (Mathematics).
Physical Description:
1 online resource
illustration
Edition:
1st ed.
Place of Publication:
Cham Springer 2026
Summary:
This book introduces a new multifractal vectorial formalism based on Hewitt-Stromberg measures, with particular emphasis on its application to branching random walks on the Galton-Watson tree. This formalism relies on the use of vector-valued functions defined on balls in a metric space and taking values in a Banach space, thus offering a generalization of classical multifractal analysis. These measures lie between Hausdorff and packing measures and then, the authors' study is specially imported especially when the classical multifractal formalism does not hold. The authors investigate the fractal dimension of the sets of infinite branches of the boundary of a super-critical Galton-Watson tree (endowed with a random metric) along which the averages of a valued branching random walk, have a given set of limit points. Furthermore, the authors examine additional general sets of levels in multifractal analysis, leading to the development of a relative multifractal vectorial formalism. They explore this relative formalism within the framework of the branching random walk
Contents:
Introduction
Vectorial multifractal measures and dimensions
A relative vectorial multifractal formalism of the level sets X (alpha)
A relative vectorial multifractal formalism of the level sets X (alpha, beta)
Relative multifractal formalism of branching random walk with random metric
Appendix
Notes:
Includes bibliographical references
Online resource; title from PDF title page (SpringerLink, viewed May 4, 2026)
Other Format:
Print version Attia, Najmeddine Vectorial Multifractal Measures
ISBN:
9783032200655
3032200652
OCLC:
1588214064
Access Restriction:
Restricted for use by site license

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