Abstract
Let F be the normalized Hecke-eigen cusp form for the full modular group and be the corresponding zeta-function. In the paper, the joint universality theorem on the approximation of a collection of analytic functions by shifts is proved. Here, are algebraic numbers linearly independent over the field of rational numbers.
MSC:
11M46
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.
Let
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
Lemma 1.
For all ,
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 ,
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 inequality
holds. 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 .
4. Proof of Theorem 2
Recall that the support of the measure is a minimal closed set such that .
Lemma 8.
The support of the measure is the set .
Proof.
Since the space is separable, we have [20],
Therefore, it suffices to consider the measure on the rectangular sets
Let be the -valued random element defined on the probability space , where is the Haar measure. Then, it is known [10] that the support of the distribution of is the set . Thus, the same set is the support of the distributions of , . Since the measure is the product of the measures , , we have
This equality, the minimality of the support, and the support of the distributions of prove the lemma. □
Proof of Theorem 2.
By the Mergelyan theorem on the approximation of analytic functions by polynomials [22], there exist polynomials such that
Define the set
In view of Lemma 8, the set is an open neighborhood of an element in support of the measure . Hence,
This, Theorem 3 and the equivalent of weak convergence in terms of open sets, and the definitions of and prove the theorem with “lim inf”. Define one more set
There for . This shows that for all but, for those countable, many . Moreover, (17) and (18) imply that . This, Theorem 3 and the equivalent of weak convergence of probability measures in terms of continuity sets, and the definitions of and prove the theorem with “lim”. □
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
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