Bernoulli convolution is absolutely continuous for l=1-10^(-50) and 3/4>=p>=1/4

You need to know: Basic probability theory, notation \text{Pr} for probability, random variable, distribution of a random variable, independent identically distributed (i.i.d.) random variables, polynomial, degree of a polynomial, monic polynomial. You also need Lebesgue measure and Hausdorff dimension to understand the context.

Background: Let \lambda,p\in(0,1) be real numbers, and let \xi_0, \xi_1, \xi_2, \dots be a sequence of i.i.d. random variables with \text{Pr}(\xi_n=1)=p and \text{Pr}(\xi_n=-1)=1-p for all n. By Bernoulli convolution we mean the random variable X_{\lambda,p}=\sum\limits_{n=0}^\infty \xi_n \lambda^n. X_{\lambda,p} is called absolutely continuous if there exists function f:{\mathbb R}\to{\mathbb R} such that \text{Pr}(a\leq X_{\lambda,p}\leq b)=\int_a^b f(x)dx whenever a\leq b. The Mahler measure of any polynomial P(x)=a\prod\limits_{i=1}^d(x-z_i) is M(P)=a\prod\limits_{j:|z_j|>1}|z_j|. A real number r is called algebraic if P(r)=0 for some polynomial P with rational coefficients. The (unique) monic polynomial P_r of smallest degree with this property is called the minimal polynomial of r. The Mahler measure of r is M_r=M(P_r).

The Theorem: On 31st January 2016, Péter Varjú submitted to arxiv a paper in which he proved that for every \epsilon>0 and p\in(0,1), there is a constant c=c(\epsilon,p)>0 such that for any algebraic number \lambda satisfying 1>\lambda>1 - c\min(\log M_\lambda, (\log M_\lambda)^{-1-\epsilon}), the Bernoulli convolution X_{\lambda,p} is absolutely continuous.

Short context: Bernoulli convolutions has been introduced by Jessen and Wintner in 1935, and studied by Erdős and many others since that. The main research question is for which values of \lambda and p the Bernoulli convolution is absolutely continuous. In 1939, Erdős noticed that X_{\lambda,1/2} is not absolutely continuous for \lambda<1/2, and also for \lambda \in E for some non-empty set E \subset [1/2,1). However, Solomyak proved in 1995 that set E has Lebesgue measure 0. Moreover, Shmerkin, building on this theorem, proved in 2014 that E has Hausdorff dimension 0. Despite on this, it was known very few explicit examples of \lambda-s for which X_{\lambda,p} is absolutely continuous, and none such examples was known for p\neq 1/2. The Theorem (with explicit c=c(\epsilon,p)) provides a lot of such examples. For example, it implies that X_{\lambda,p} is absolutely continuous for \lambda=1-10^{-50} and \frac{1}{4}\leq p \leq \frac{3}{4}.   

Links: Free arxiv version of the original paper is here, journal version is here.

Go to the list of all theorems

One thought on “Bernoulli convolution is absolutely continuous for l=1-10^(-50) and 3/4>=p>=1/4

Leave a comment