English

Multifractal structure of Bernoulli convolutions

Dynamical Systems 2015-05-20 v1 Classical Analysis and ODEs

Abstract

Let νλp\nu_\lambda^p be the distribution of the random series n=1inλn\sum_{n=1}^\infty i_n \lambda^n, where ini_n is a sequence of i.i.d. random variables taking the values 0,1 with probabilities p,1pp,1-p. These measures are the well-known (biased) Bernoulli convolutions. In this paper we study the multifractal spectrum of νλp\nu_\lambda^p for typical λ\lambda. Namely, we investigate the size of the sets Δλ,p(α)={xR:limr0logνλp(B(x,r))logr=α}. \Delta_{\lambda,p}(\alpha) = \left\{x\in\R: \lim_{r\searrow 0} \frac{\log \nu_\lambda^p(B(x,r))}{\log r} =\alpha\right\}. Our main results highlight the fact that for almost all, and in some cases all, λ\lambda in an appropriate range, Δλ,p(α)\Delta_{\lambda,p}(\alpha) is nonempty and, moreover, has positive Hausdorff dimension, for many values of α\alpha. This happens even in parameter regions for which νλp\nu_\lambda^p is typically absolutely continuous.

Keywords

Cite

@article{arxiv.1011.1938,
  title  = {Multifractal structure of Bernoulli convolutions},
  author = {Thomas Jordan and Pablo Shmerkin and Boris Solomyak},
  journal= {arXiv preprint arXiv:1011.1938},
  year   = {2015}
}

Comments

24 pages, 2 figures

R2 v1 2026-06-21T16:40:50.555Z