1. Introduction
Let
,
,
,
,
,
, as usual, denote the sets of primes, positive integers, nonnegative integers, integers, real and complex numbers, respectively,
a complex variable,
,
Q a positive defined
matrix, and
for
. In [
1], Epstein considered a problem to find a zeta-function as general as possible and having the functional equation of the Riemann type. For
, he defined the function
Now this function is called the Epstein zeta-function. It is analytically continuable to the whole complex plane, except for a simple pole at the point
with residue
where
is the Euler gamma-function. Epstein also proved that
satisfies the functional equation
for all
.
It turned out that the Epstein zeta-function is an important number theoretical object having a series of practical applications, for example, in crystallography [
2] and mathematical physics, more precisely, in quantum field theory and the Wheeler–DeWitt equation [
3,
4].
Value distribution of
, as other zeta-functions, is not simple, and was studied by many authors including Hecke [
5], Selberg [
6], Iwaniec [
7], Bateman [
8], Fomenko [
9], Pańkowski and Nakamura [
10]. In [
11] and [
12], the characterization of asymptotic behaviour of
was given in terms of probabilistic limit theorems. The latter approach for the Riemann zeta-function
was proposed by Bohr in [
13], and realized in [
14,
15]. Denote by
the Borel
-field of the space
, and by meas
A the Lebesgue measure of a measurable set
. For
, define
Under restrictions that
for all
, and
is even, it was obtained [
11] that
, for
, converges weakly to an explicitly given probability measure
as
. The discrete version of the latter theorem was given in [
12].
The above restrictions on the matrix
Q and [
9], imply the decomposition
with the zeta-function
of a certain Eisenstein series, and the zeta-function
of a certain cusp form.
Let
be a Dirichlet character modulo
q, and
the corresponding Dirichlet
L-function having analytic continuation to the whole complex plane if
is nonprincipal character, and except for a simple pole at the point
if
is the principal character. Then (
1), and [
5,
7], lead to the representation
where
and
are Dirichlet characters,
,
, and the series with coefficients
converges absolutely in the half-plane
. Thus, the investigation of the function
reduces to that of Dirichlet
L-functions which, for
, have the Euler product
Our aim is to describe by probabilistic terms the joint asymptotic behaviour of the function
and a zeta-function having no Euler’s product over primes. For this, the most suitable function is the classical Hurwitz zeta-function. Let
be a fixed parameter. The Hurwitz zeta-function
was introduced in [
16], and is defined, for
, by
Moreover,
has analytic continuation to the whole complex plane, except for a simple pole at the point
with residue 1,
, and
Analytic properties of the function
depend on the arithmetic nature of the parameter
. Some probabilistic limit theorems for the function
can be found, for example, in [
17].
The statement of a joint limit theorem for the functions
and
requires some notations. Denote two tori
With the product topology and pointwise multiplication,
and
are compact topological Abelian groups. Therefore,
again is a compact topological group. Hence, on
, the probability Haar measure
exists, and we have the probability space
. Denote elements of
by
,
and
, and, on the probability space
define, for
and
, the
-valued random element
where
,
with
and
Moreover, denote by
the distribution of the random element
, i.e.,
The main the result of the paper is the following joint limit theorem of Bohr-Jessen type for the functions and .
Theorem 1.
Suppose that the set is linearly independent over the field of rational numbers , and , . Then
converges weakly to the measure as .
For example, if the parameter is transcendental, then the set is linearly independent over .
We divide the proof of Theorem 1 into several lemmas which are limit theorems in some spaces for certain auxiliary objects. The important place of the proof is the identification of the limit measure.
3. Absolutely Convergent Series
Fix
, and, for
, set
and
Since
and
decrease with respect to
m exponentially, the above series are absolutely convergent for
with arbitrary fixed finite
. For
and
, let
with
and
with
For
, define
and
This section is devoted to weak convergence of
and
as
. Let the mapping
be given by
and
, where, for
,
Since all Dirichlet series in the definition of
are absolutely convergent in the considered region, the mapping
is continuous, hence
-measurable. Therefore, the probability measure
is defined correctly, see, for example, [
18],
Section 5.
Lemma 2. Under hypotheses of Theorem 1, and both converge weakly to the same probability measure as .
Proof. We apply the principle of preservation of weak convergence under continuous mappings, see
Section 5 of [
18]. By the definitions of
,
and
, we have
for every
. Thus,
. This, continuity of
, Lemma 1 and Theorem 5.1 of [
18] imply that
converges to
as
.
It remains to show that
also converges to
as
. Let
, and the mapping
be given by
Thus, we have that
where
is given by
. By the same lines as in the case of
, we find that
converges weakly to the measure
. However, by (
5) and invariance of the Haar measure, we obtain
This completes the proof of the lemma. □
7. Proof of Theorem
Let
and
. Obviously,
is an element of
. Using
, define a transformation
by
In virtue of the invariance of the Haar measure , is a measurable measure preserving transformation on . Then is the one-parameter group of transformations on . A set is invariant with respect to if, for every the sets and A can differ one from another at most by a set of -measure zero. All invariant sets form a -subfield of . We say that the group is ergodic if its -field of invariant sets consists only of sets having -measure 1 or 0.
Lemma 5. Suppose that the set is linearly independent over . Then the group is ergodic.
Proof. We fix an invariant set A of the group , and consider its indicator function . We will prove that, for almost all , or . For this, we will use the Fourier transform method.
By the proof of Lemma 1, we know that characters
of
are of the form
where the star “*” indicates that only a finite number of integers
and
are non-zeros. Hence, if
is a non-trivial character,
Since
is a non-principal character, i. e.,
. The linear independence of the set
shows that
for
and
. These remarks implies the existence of
such that
Moreover, by the invariance of
A, for almost all
,
Let
denotes the Fourier transform of
h. Then, by (
22), invariant of
and multiplicativity of characters
Now, suppose that
, and
. Then
by orthogonality of characters. This, and (
23) gives
The latter equality shows that for almost all . In other words, or for almost all . Thus, or for almost all . Therefore, or , and the proof is completed. □
For convenience, we remind the classical Birkhoff-Khintchine ergodic theorem, see, for example, [
19].
Lemma 6.
Suppose that a random process is ergodic with finite expectation , and sample paths integrable almost surely in the Riemann sense over every finite interval. Then, for almost all ω,
Proof (Proof of Theorem 1). In virtue of Proposition 1, it suffices to identify the limit measure in it, i. e., to show that .
Let
be a continuity set of the measure
. Then, by Proposition 1, for almost all
,
On the probability space
, define the random variable
By Lemma 5, the random process
is ergodic. Therefore, an application of Lemma 6 yields
for almost all
. On the other hand, from the definitions of
and
, we have
Therefore, equalities (25) and (26), for almost all
, lead to
This together with (24) shows that
Since A is an arbitrary continuity set of , equality (27) is valid for all . This proves the theorem. □