You need to know: Matrix, determinant of a matrix, notation for the image of set
under linear transformation defined by matrix
, notation
for direct product of sets, notation “
” for the real number
such that
is an integer, notation
for the probability, selection uniformly at random.
Background: Let be an integer,
,
, and
be set of vectors
with
for every
. Let
be the set of vectors
such that
for every
, where
are fixed such that
for every
. For each
, let
be the set of vectors
such that
for every
. For a (small)
, let
be the set of
matrices with determinant
and real entries
, such that
for all
and
for all
. Let
. For
and integer
, let
be the number of integers
such that
, and let
.
The Theorem: On 19th November 2012 Dmitry Dolgopyat and Bassam Fayad submitted to arxiv a paper in which they proved that if is selected in
uniformly at random, then, for all real
,
, where
is a constant depending only on
, and
.
Short context: For every irrational , it is known that sequence
(called the Kronecker sequence) is uniformly distributed on
, and the same is true for shifted sequence
. More formally, if
is the number of terms of this sequence (with
) belonging to some interval
, then
. Quantity
measures how fast this convergence happens. In 1962, Kesten established the limiting distribution of
, after appropriate scaling, provided that
and
are selected at random. The Theorem establishes a multidimensional version of this result.
Links: Free arxiv version of the original paper is here, journal version is here.