Multifractal structure of Bernoulli convolutions

preprint2010arXivOpen access

Abstract

Let νλpν_λ^p be the distribution of the random series ∑n=1∞inλn\sum_{n=1}^\infty i_n λ^n, where ini_n is a sequence of i.i.d. random variables taking the values 0,1 with probabilities p,1−pp,1-p. These measures are the well-known (biased) Bernoulli convolutions. In this paper we study the multifractal spectrum of νλpν_λ^p for typical λλ. Namely, we investigate the size of the sets Δλ,p(α)={x∈R:lim⁡r↘0log⁡νλp(B(x,r))log⁡r=α}. Δ_{λ,p}(α) = \left\{x\in\R: \lim_{r\searrow 0} \frac{\log ν_λ^p(B(x,r))}{\log r} =α\right\}. Our main results highlight the fact that for almost all, and in some cases all, λλ in an appropriate range, Δλ,p(α)Δ_{λ,p}(α) is nonempty and, moreover, has positive Hausdorff dimension, for many values of αα. This happens even in parameter regions for which νλpν_λ^p is typically absolutely continuous.

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