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Conditional and Relative Multifractal Spectra

Title: Conditional and Relative Multifractal Spectra
Authors: Rudolf H. Riedi; R. H. Riedi; I. Scheuring
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: ftp://cml.rice.edu/pub/reports/CML9708.ps.Z
Publication Year: 1997
Collection: CiteSeerX
Description: In the study of the involved geometry of singular distributions the use of fractal and multifractal analysis has shown results of outstanding significance. So far, the investigation has focussed on structures produced by one single mechanism which were analyzed with respect to the ordinary metric or volume. Most prominent examples include self-similar measures and attractors of dynamical systems. In certain cases, the multifractal spectrum is known explicitly, providing a characterization in terms of the geometrical properties of the singularities of a distribution. Unfortunately, strikingly different measures may possess identical spectra. To overcome this drawback we propose two novel methods, the conditional and the relative multifractal spectrum, which allow for a direct comparison of two distributions. These notions measure the extent to which the singularities of two distributions `correlate'. Being based on multifractal concepts, however, they go beyond calculating correlations.
Document Type: text
File Description: application/postscript
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.9076
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.9076
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.EA552124
Database: BASE