1. Introduction
The series of the types
      
      where 
 is a nondecreasing sequence of real numbers and 
 are called Dirichlet series. The majority of zeta-functions are meromorphic functions in some half-plane defined by Dirichlet series having a certain arithmetic sense. The most important of zeta-functions is the Riemann zeta-function
      
In [
1], Voronin discovered a very interesting and important property of 
 to approximate a wide class of analytic functions by shifts 
, 
, and called it universality. Later, it turned out that some other zeta-functions also are universal in the Voronin sense. This paper is devoted to the universality of zeta-functions of certain cusp forms.
Let
      
      be the full modular group. If the function 
 is holomorphic in the upper half-plane 
, and for all elements of 
 with some 
 satisfies the functional equation
      
      where 
 is called a modular form of weight 
 for the full modular group. Then, 
 has Fourier series expansion
      
If 
 for all 
, then 
 is a cusp form of weight 
. The corresponding zeta-function (or 
L-function) 
 is defined for 
 by the Dirichlet series
      
      and has the analytic continuation to an entire function. Additionally, we suppose that 
 is a simultaneous eigenfunction of all Hecke operators 
In this case, 
; therefore, the form 
 can be normalized, and thus, we may suppose that 
.
Now, we suppose that 
 is a normalized Hecke-eigen cusp form of weight 
 for the full modular group. Then, the zeta-function 
 can be written, for 
, as a product over primes
      
      where 
 and 
 are conjugate complex numbers satisfying the equality 
.
In the paper [
2], the universality of the function 
 was proved. Let 
, 
 be the class of compact subsets of the strip 
 with connected complements, and 
, 
 the class of continuous nonvanishing functions on 
K that are analytic in the interior of 
K. Moreover, let 
 denote the Lebesgue measure of a measurable set 
. Then, in [
2], the following theorem was obtained.
Theorem 1. Suppose that  and . Then, for every ,  Theorem 1 shows that there are infinitely many shifts 
 approximating a given function 
. In the shifts 
 of Theorem 1, 
 takes arbitrary real values; therefore, the theorem is of continuous type. Further, discrete universality theorems for the function 
 are known. In [
3,
4], the discrete universality theorems with shifts 
, 
, 
 being a fixed number, were proved. Denote by 
 the space of analytic on 
 functions endowed with the topology of uniform convergence on compacta. The paper [
5] is devoted to the universality for compositions 
 with certain operators 
. The results of the latter paper were applied in [
6] for the functional independence of the compositions 
.
Let, for a fixed 
,
      
      denote the Hecke subgroup of the group 
. If 
 satisfies (
1) for all elements of 
, then 
 is called a cusp form of weight 
 and level 
l. The form 
 is called a new form if it is not a cusp form of level 
. In [
7], a universality theorem was obtained for zeta-functions of new forms.
The universality theorem of [
2] was generalized in [
8] for shifts 
 with differentiable function 
 satisfying the estimates 
 and 
 as 
. The discrete version of results of [
8] is given in [
9]. In [
10], the shifts 
, where 
 is the sequence of nontrivial zeros of 
, are used.
The joint universality of zeta- and 
L-functions is a more complicated problem of analytic number theory. In this case, a collection of analytic functions are simultaneously approximated by a collection of shifts of zeta-functions. The first result in this direction also belongs to Voronin. He considered [
11] the functional independence of Dirichlet 
L-functions 
 with pairwise nonequivalent Dirichlet characters 
 and, for this, he obtained their joint universality. The paper [
12] is devoted to the joint universality for zeta-functions of new forms twisted by Dirichlet characters, i.e., for the functions
      
      with pairwise nonequivalent Dirichlet characters 
.
Joint universality theorems with generalized shifts 
, 
, with some differentiable functions 
 can be found in [
13]. Continuous and discrete joint universality theorems for more general zeta-functions are given in [
14,
15,
16].
Our aim is to obtain a joint universality theorem for zeta-functions of normalized Hecke-eigen cusp forms by using different shifts. The first of the denseness results for shifts of a universal function were discussed in [
17].
The main result of the paper is the following statement.
Theorem 2. Suppose that  are real algebraic numbers linearly independent over the field of rational numbers . For , let  and . Then, for every ,Moreover “lim inf” 
can be replaced by “lim” 
for all but at most countably many .  For the proof of Theorem 2, we will apply the probabilistic approach based on a limit theorem in the space of analytic functions.
  2. Mean Square Estimates
Recall the metric in the space 
. Let 
 be a sequence of compact subsets such that
      
 for 
, and if 
 is a compact, then 
 for some 
l. For example, we can take 
 closed rectangles. Then
      
      is a metric in 
 inducing the topology of uniform convergence on compacta.
For 
, 
, define
      
Then, 
 is a metric in 
 inducing the product topology.
Let 
 be a fixed number, and
      
Then, the series
      
      in view of the estimate
      
      is absolutely convergent in every fixed half plane 
. However, for our aim, this convergence is sufficient only for 
.
For brevity, let 
,
      
      and
      
Proof.  By the definitions of the metrics 
 and 
, it suffices to show that, for every 
 and compact set 
,
        
It is well known that for fixed 
,
        
        where 
 means that the implied constant depends on 
. Therefore,
        
        and, for 
,
        
Let
        
        where 
 denotes the Euler gamma-function and 
 is a number from the definition of 
. Using the Mellin formula
        
        we find that
        
Therefore, in virtue of the definition of the function 
, we obtain that, for 
,
        
Let 
 be a fixed compact set. Then, there exists 
 such that, for all 
, the inequalities 
 are satisfied. We take, for such 
,
        
Then, 
. Therefore, by the residue theorem and (
3),
        
Hence, for all 
,
        
Thus, in view of (
2),
        
Here, we used the estimate
        
Estimate (
4) proves the lemma. □
 Let 
 be the set of all prime numbers, and 
 for all 
. Define the set
      
Then, the torus 
 with product topology and pointwise multiplication is a compact topological Abelian group. Therefore, on 
 (
 is the Borel 
-field of the space 
), the probability Haar measure 
 can be defined. Moreover, let
      
      where 
 for all 
. Once again, 
 is a compact topological Abelian group. Therefore, on 
 the probability Haar measure 
 exists. This gives the probability space 
. Denote by 
 the Haar measure on 
, 
. Then, 
 is the product of the measures 
. Now, denote by 
 the elements of 
, where 
, 
. Let 
 be the 
pth component of an element 
, 
, 
. Extend elements 
 to the set 
 by the formula
      
      and define 
-valued random element
      
The later series is uniformly convergent on compact subsets of 
 for almost all 
. Moreover, for fixed 
      for almost all 
, 
 [
18]. Define one more series
      
      which also, as 
, are absolutely convergent for 
. Let
      
      and
      
Then, repeating the proof of Lemma 1 and using estimate (
5), we arrive to the following statement.
Lemma 2. For all  and almost all ,    3. Limit Theorems
On the probability space 
, define 
-valued random element
      
      and denote by 
 its distribution, i.e.,
      
Theorem 3. Suppose that  are real algebraic numbers linearly independent over , and Then,  converges weakly to  as .
 We divide the proof of Theorem 3 into several lemmas.
Lemma 3. Suppose that  are algebraic numbers such that the system  is linearly independent over . Then, for arbitrary algebraic numbers  that are not all zeros, the inequalityholds. Here, h denotes the height of the numbers , and c is an effective constant depending on r,  and maximum of degrees of the numbers .  The lemma is a Baker result on linear forms of logarithm; see, for example, ref. [
19]. For 
, define
      
Lemma 4. Let  be the same as in Theorem 3. Then,  converges weakly to the Haar measure  as .
 Proof.  We apply the Fourier transform method. Denote by 
, 
, 
 the Fourier transform of 
. By the definition of 
, we have
        
        where the star shows that only a finite number of integers 
 are not zero. Obviously,
        
Now, suppose that 
. Then, there exists a prime number 
p such that 
 for some 
j. Therefore,
        
        because the numbers 
 are linearly independent over 
Q. Thus, in view of Lemma 3,
        
This and (
6) imply
        
Therefore, by (
7),
        
        and this proves the lemma. □
 For 
, define
      
      and
      
Moreover, let the mapping 
 be given by
      
      and 
, where
      
Since the series for 
 are absolutely convergent for 
, the mapping 
 is continuous. Moreover, by the definitions of 
 and 
, we have 
. This equality, continuity of 
, Lemma 4, the well-known properties of weak convergence, and the invariance of the Haar measure 
 lead to the following lemma.
Lemma 5. Let  be the same as Theorem 3. Then,  and  both converge weakly to the measure  as .
 Additionally to 
, define
      
Lemma 6. Let  be the same as Theorem 3. Then, on , there exists a probability measure  such that  and  both converge weakly to  as .
 Proof.  Since the series for 
 is absolutely convergent, by a standard way it follows—see, for example [
14,
18]—that the sequence 
 is tight, i.e., for every 
, there exists a compact set 
 such that
        
        for all 
. Hence, by the Prokhorov theorem, see [
20], the sequence 
 is relatively compact, i.e., each of its subsequences contains a subsequence 
 such that 
 converges weakly to a certain probability measure 
 on 
 as 
.
Let 
 be a random variable defined on a certain probability space with measure 
 and uniformly distributed on 
. Define the 
-valued random element
        
        and denote by 
 the 
-valued random element having the distribution 
. Then, by Lemma 5, we have
        
        where 
 means the convergence in distribution. Moreover, since 
 converges weakly to 
, the relation
        
        is true. Let
        
Then, using Lemma 1, we find that for every 
,
        
The later equality together with (
8) and (
9), and Theorem 4.2 of [
20] lead to the relation
        
This proves that 
 converges weakly to 
 as 
.
The relation (
10) shows that the limit measure 
 is independent of the subsequence 
. Therefore, we have
        
Define the 
-valued random elements
        
        an
        
Then, repeating the above arguments using Lemmas 2 and 5, and relation (
11), we obtain that
        
        and this is equivalent to weak convergence of 
 to 
 as 
. The lemma is proved. □
 To prove Theorem 3, it remains to show that 
. For this, we will apply some elements of the ergodic theory. For brevity, let
      
Define the transformation of 
Since the Haar measure 
 is invariant, the transformation 
 is measure-preserving and 
 is a one-parameter group. A set 
 is called invariant with respect to the group 
 if the sets 
A and 
, 
, differ one from another at most by a set of 
-measure zero.
Lemma 7. Let  be the same as Theorem 3. Then, the group  is ergodic, i.e., the σ-field of invariant sets consists of sets having -measure 1 or 0.
 Proof.  The characters 
 of the group 
 are of the form
        
This fact already was used in the proof of Lemma 4. Let 
A be an arbitrary invariant set, 
 its indicator function, and 
 be a nontrivial character. Preserving the notation of the proof of Lemma 4, we have 
 and 
. Therefore, there exists 
 such that
        
Moreover, in view of the invariance of 
A, we have
        
        for almost all 
. Denote by 
 the Fourier transform of 
. Then, by (
13),
        
This and (
12) show that
        
Now, let 
 denote the trivial character of 
, and suppose that 
. Then, in view of (
14), we find that
        
Hence, 
 for almost all 
. Since 
 is the indicator function, 
 or 
 for almost all 
. Thus, 
 or 
, and the lemma is proved. □
 Proof of Theorem 3. We have mentioned that it suffices to show that 
. By Lemma 6 and the equivalent of weak convergence in terms of continuity sets, we have
        
        for a continuity set 
A of the measure 
, i.e., 
, where 
 is the boundary of 
A. On the probability space 
, define the random variable
        
Lemma 7 implies the ergodicity of the random process 
. Therefore, by the classical Birkhoff–Khintchine ergodic theorem, see, for example [
21],
        
        where 
 is the expectation of 
.
However, by the definitions of 
 and 
,
        
This and (
16) show that
        
Therefore, by (
15), we obtain that 
 for all continuity sets 
A of 
. Hence, 
, and the theorem is proved. □