English

A lower bound for the dimension of Bernoulli convolutions

Dynamical Systems 2019-01-03 v2 Classical Analysis and ODEs

Abstract

Let β(1,2)\beta\in(1,2) and let HβH_\beta denote Garsia's entropy for the Bernoulli convolution μβ\mu_\beta associated with β\beta. In the present paper we show that Hβ>0.82H_\beta>0.82 for all β(1,2)\beta \in (1, 2) and improve this bound for certain ranges. Combined with recent results by Hochman and Breuillard-Varj\'u, this yields dim(μβ)0.82\dim (\mu_\beta)\ge0.82 for all β(1,2)\beta\in(1,2). In addition, we show that if an algebraic β\beta is such that [Q(β):Q(βk)]=k[\mathbb{Q}(\beta): \mathbb{Q}(\beta^k)] = k for some k2k \geq 2, then dim(μβ)=1\dim(\mu_\beta)=1. Such is, for instance, any root of a Pisot number which is not a Pisot number itself.

Keywords

Cite

@article{arxiv.1609.02131,
  title  = {A lower bound for the dimension of Bernoulli convolutions},
  author = {Kevin G. Hare and Nikita Sidorov},
  journal= {arXiv preprint arXiv:1609.02131},
  year   = {2019}
}

Comments

8 pages, no figures