Multifractal Products of Cylindrical Rules
Julien Barral and
Benoît Mandelbrot
Additional contact information
Julien Barral: Universite Montpellier-II
No 1287, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
A new class of random multiplicative and statistically self-similar measures is defned on IR. It is the limit of measure-valued martingales constructed by multiplying random functions attached to the points of a statistically self-similar Poisson point process in a strip of the plane. Several fundamental problems are solved, including the non-degeneracy and the distribution of the limit measure, mu; the finiteness of the (positive and negative) moments of the total mass of mu restricted to bounded intervals. Compared to the familiar canonical multifractals generated by multiplicative cascades, the new measures and their multifractal analysis exhibit strikingly novel features which are discussed in detail.
Keywords: Random measures; Multifractal analysis; Continuous time martingales; Statistically self-similar Poisson point processes (search for similar items in EconPapers)
Pages: 26 pages
Date: 2001-01
References: Add references at CitEc
Citations:
Published in Probability Theory and Related Fields (2002), 124: 409-430
Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d12/d1287.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cwl:cwldpp:1287
Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.
Access Statistics for this paper
More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().