On the dimension of Bernoulli convolutions

Abstract

The Bernoulli convolution with parameter λ∈(0,1) is the probability measure μλ that is the law of the random variable Σn0λn, where the signs are independent unbiased coin tosses. We prove that each parameter λ∈(1/2,1) with μλ<1 can be approximated by algebraic parameters ∈(1/2,1) within an error of order (-deg()A) for any number A, such that μ<1. As a corollary, we conclude that μλ=1 for each of λ= 2, e-1/2, π/4. These are the first explicit examples of such transcendental parameters. Moreover, we show that Lehmer's conjecture implies the existence of a constant a<1 such that μλ=1 for all λ∈(a,1).

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