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Continuity of the Multifractal Spectrum of a Random Statistically Self-Similar Measure

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  • Julien Barral

    (Université Paris-Sud)

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 μ be such a measure, for example on the boundary of a c-ary tree equipped with the standard ultrametric distance; for α≥0, denote by E α the set of the points where μ possesses a local Hölder exponent equal to α, and dim E α the Hausdorff dimension of E α; then, there exists a deterministic open interval I⊂ $$\mathbb{R}$$ *+ and a function f: I→ $$\mathbb{R}$$ *+ such that for all α in I, with probability one, dim E α=f(α). This statement is not completely satisfactory. Indeed, the main result in this paper is: with probability one, for all α∈I, dim E α=f(α). 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 α=inf(I) or α=sup(I), one does not know whether E α is empty or not. Under suitable assumptions, we show that E α≠ø and calculate dim E α.

Suggested Citation

  • Julien Barral, 2000. "Continuity of the Multifractal Spectrum of a Random Statistically Self-Similar Measure," Journal of Theoretical Probability, Springer, vol. 13(4), pages 1027-1060, October.
  • Handle: RePEc:spr:jotpro:v:13:y:2000:i:4:d:10.1023_a:1007866024819
    DOI: 10.1023/A:1007866024819
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    Cited by:

    1. Najmeddine Attia, 2021. "On the Multifractal Analysis of Branching Random Walk on Galton–Watson Tree with Random Metric," Journal of Theoretical Probability, Springer, vol. 34(1), pages 90-102, March.
    2. Najmeddine Attia, 2014. "On the Multifractal Analysis of the Branching Random Walk in $$\mathbb{R }^d$$ R d," Journal of Theoretical Probability, Springer, vol. 27(4), pages 1329-1349, December.

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