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Continuity of the Multifractal Spectrum of a Random Statistically Self-Similar Measure
Authors:Julien Barral
Affiliation:(1) Equipe d'Analyse Harmonique (URA 757 du CNRS), Mathématiques, Université Paris-Sud, Bât. 425, 91405 Orsay Cedex, France
Abstract:Until now [see Kahane;(19) Holley and Waymire;(16) Falconer;(14) Olsen;(29) Molchan;(28) Arbeiter and Patzschke;(1) and Barral(3)] one determines the multifractal spectrum of a statistically self-similar positive measure of the type introduced, in particular by Mandelbrot,(26, 27) only in the following way: let mgr be such a measure, for example on the boundary of a c-ary tree equipped with the standard ultrametric distance; for agrge0, denote by Eagr the set of the points where mgr possesses a local Hölder exponent equal to agr, and dim Eagr the Hausdorff dimension of Eagr; then, there exists a deterministic open interval Isub
$$mathbb{R}$$
*+ and a function f: Irarr
$$mathbb{R}$$
*+ such that for all agr in I, with probability one, dim Eagr=f(agr). This statement is not completely satisfactory. Indeed, the main result in this paper is: with probability one, for all agrisinI, dim Eagr=f(agr). This holds also for a new type of statistically self-similar measures deduced from a result recently obtained by Liu.(22) We also study another problem left open in the previous works on the subject: if agr=inf(I) or agr=sup(I), one does not know whether Eagr is empty or not. Under suitable assumptions, we show that Eagrneø and calculate dim Eagr.
Keywords:multifractal analysis  statistically self-similar measures  Mandelbrot's martingales  multiplicative cascades
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