You need to know: Basic probability theory, random variable, distribution of a random variable, independent identically distributed (i.i.d.) random variables.
Background: For , Bernoulli convolution
is the distribution of the real random variable
, where the signs are chosen i.i.d. with equal probabilities. It is known that the limit
exists and is constant for
-almost every x. This constant is called dimension of
and in denoted
. A real number
is called algebraic if it is a root of a non-zero polynomial equation with rational coefficients, and is called transcendental otherwise.
The Theorem: On 21st October 2018, Péter Varjú submitted to arxiv a paper in which he proved that for all transcendental
.
Short context: Bernoulli convolutions has been introduced by Jessen and Wintner in 1935, and studied by Erdős and many others since that. The main question is for which values of the resulting probability measure
is “nice”, and having dimension 1 is one of the criteria for “niceness”. It follows from the 1995 Solomyak paper that the set E of exceptional
-s for which
has Lebesgue measure
. In 2014, Hochman proved a stronger result that E must have box dimension
(see here for the Theorem formulation and the definition of box dimension). The Theorem makes a step further and proves that set E is a subset of algebraic numbers and is therefore countable. In fact, there are also algebraic numbers outside E, see here.
Links: Free arxiv version of the original paper is here, journal version is here.