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| Content Provider | Springer Nature Link |
|---|---|
| Author | Barral, Julien |
| Copyright Year | 2000 |
| 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 $_{α}$. |
| Starting Page | 1027 |
| Ending Page | 1060 |
| Page Count | 34 |
| File Format | |
| ISSN | 08949840 |
| Journal | Journal of Theoretical Probability |
| Volume Number | 13 |
| Issue Number | 4 |
| e-ISSN | 15729230 |
| Language | English |
| Publisher | Kluwer Academic Publishers-Plenum Publishers |
| Publisher Date | 2000-01-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Probability Theory and Stochastic Processes Statistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |
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