Abstract
In the paper, a Dirichlet series whose shifts , , , approximate analytic non-vanishing functions defined on the right-hand side of the critical strip is considered. This series is closely connected to the Riemann zeta-function. The sequence and as .
Keywords:
distribution function; Riemann zeta-function; Voronin universality theorem; weak convergence MSC:
11M06; 11M41
1. Introduction
Denote by a complex variable and by the set of all prime numbers. The Riemann zeta-function is defined, for , by
and has an analytic continuation to the whole complex plane, except for a simple pole at the point with residue 1.
By the Voronin theorem [1], the function is universal in the sense that its shifts , , approximate uniformly on compact sets every analytic non-vanishing function defined on the strip . We recall that the original version of the Voronin theorem asserts that if is a continuous non-vanishing function on the disc , , and analytic on , then, for every , there exists such that
Voronin considered a general case when takes arbitrary real values (continuous case). Reich introduced [2] a discrete version of the Voronin theorem with values from the set with arbitrary fixed . By a different method, a discrete universality theorem for was also proved by Bagchi [3]. The arithmetic progression is one of the simplest discrete sets, and its case is classical in the theory of universality. In view of the equality , where means the conjugate of z, the case does not give new results. Of course, in place of , more general sets with a function satisfying some hypotheses can be considered. For example, in [4] the function , , with certain , was used. Let be the class of compact subsets of the strip D with connected complements, and with be the class of continuous non-vanishing functions on K that are analytic in the interior of K. Then the above-mentioned discrete universality of is contained in the following theorem.
Theorem 1
([2]). Let and . Then, for every and ,
Here denotes the cardinality of the set A, and N runs over the set .
Mauclaire observed [5] that a lower density in universality theorems can be replaced by a density with a certain exception for . Thus, the following statement is true.
Theorem 2.
Let and . Then, for every , the limit
exists for all but at most countably many .
The main aim of this paper is to replace in Theorem 2 by a certain absolutely convergent for Dirichlet series depending on N.
2. Statement of the Main Theorem
Denote by the Borel -field of the space , and by the space of analytic functions on D endowed with the topology of uniform convergence on compacta. For the proof of universality theorems, we will apply the probabilistic Bagchi approach based on limit theorems for probabilistic measures in the space . Two types of are considered: h is of type 1 if the number is irrational for all , and is of type 2 if it is not of type 1.
Define the set
where for all . With the product topology and pointwise multiplication, the infinite-dimensional torus , by the Tikhonov theorem, is a compact topological Abelian group. Denote by the closed subgroup generated by the element , . Then it is known [3], see also [6], that
Here
where is the smallest number such that is a rational number,
for , and denotes the pth component of .
On , the probability Haar measure can be defined, and we obtain the probability space . Denote by the pth component of an element , , and, on the probability space , define the -valued random element
We note that the latter infinite product, see, for example, ([7], Chapter 5), is uniformly convergent on compact subsets of the strip D for almost all with respect to the measure .
Now, define the Dirichlet series which will be used for approximation of analytic functions. Let , , and
Define
Clearly, the latter series is absolutely convergent in the half-plane . The main result of the paper is the following theorem of universality type. In what follows, in the definition of .
Theorem 3.
Suppose that and as . Let and . Then, for every , the limit
exists for all but at most countably many .
For a proof of Theorem 3, we apply a new probabilistic idea based on using of known universality theorems and application the machinery of distribution and characteristic functions. This way earlier was not known, and works well for a class of Dirichlet series which are close to universal functions. This method allows an extension of the class of universal functions, and has no connection to known methods. Thus, a proof of Theorem 3 is based on Theorem 2 and the estimate in the mean of the distance between and .
3. Proof of Theorem 2
As mentioned above, the main ingredient of the probabilistic Bagchi method [3] for proof of universality theorems for Dirichlet series are limit theorems on weakly convergent probability measures in the space of analytic functions. We recall a result of discrete type from [3]. For , define
Denote by the distribution of , i.e.,
Lemma 1.
For every , converges weakly to as . Moreover, the support of the measure is the set
A proof of the continuous version of Lemma 1 on the weak convergence for
as , apart [3], can be found, for example in [7,8]. The discrete case is considered [3] using a similar way. First it is proved that
converges weakly to as . This is applied to obtain that
and
, converge weakly to the same probability measure on as . Here, for ,
with
The next step of the proof of Lemma 1 consists of the equalities
and, for almost all ,
where K is an arbitrary compact subset of the strip D. Using the above facts and properties of weak convergence, it is obtained that and
converge weakly to the same probability measure on as . This and the Birkhoff–Khintchine ergodicity theorem connecting the arithmetic mean for ergodic processes with integrable sample paths to their expectation, see, for example [9], allows the detection of . For investigation of the support of , elements of the theory of exponential functions are applied.
For convenience, we recall the Mergelyan theorem on the approximation of analytic functions by polynomials, and equivalent of weak convergence of probability measures in terms of continuity sets.
Lemma 2.
Suppose that is a compact set with connected complement, and is a continuous function on K and analytic in the interior of K. Then, for every , there exists a polynomial such that
Proof of the lemma can be found in ([10], Chapter 1).
A set is called a continuity set of a probability measure P on if , where denotes the boundary of A.
Lemma 3.
Suppose that P and , , are probability measures on . Then converges weakly to P if and only if
for every continuity set A of the measure P.
Proof of the lemma is given, for example, in [11], Theorem 2.1.
Proof of Theorem 2.
Define the set
The boundary lies in the set
Therefore, the boundaries and do not intersect for different positive and . From this, it follows that there are at most values of such that , , . Thus, for at most countably many . In other words, the set is a continuity set of the measure for all but at most countably many . Therefore, in view of Lemmas 1 and 3,
for all but at most countably many . The definitions of , and show that
for all but at most countably many . It remains to prove that the right-hand side of the latter equality is strongly positive.
Since on K, the principal branch of logarithm satisfies hypotheses of Lemma 2. Therefore, for every , there exists a polynomial such that
Hence, using the well-known inequality which is valid for all , gives
for all . Without loss of generality, we may suppose that . Let , and
Then (1) implies the inequality
Define the set
Suppose that . Then, in virtue of (2),
i.e., . Thus
Since , by the second part of Lemma 1, the function is an element of the support of the measure . Therefore, the set is an open neighborhood of an element of the support of . Hence, by the properties of the support,
and the inclusion (3) shows that . The theorem is proved. □
4. Distance between and
We will derive Theorem 3 from Theorem 2. For this, we will use the closeness between and . First, we recall the Gallagher lemma, see Lemma 1.4 of [12], which connects discrete and continuous mean squares of some differentiable functions.
Lemma 4.
Suppose that , and is a finite set in the interval . Define
and suppose that is a complex-valued continuous function on with a continuous derivative on . Then
Lemma 5.
Suppose that and as . Then
Proof.
Let, as usual, denote the Euler gamma-function, and be from the definition of . Then an application of the Mellin formula
shows that
Since the series for is absolutely convergent, putting
gives, for ,
Let . Then, by the residue theorem,
where
There exists such that for all . Then , and, in view of (4), we have, for ,
Hence, shifting to , we obtain, for ,
Therefore,
It is well known that for fixed , ,
where means that the implied constant depends on . Hence, for all real ,
Lemma 4 with , , , and (6) implies the estimate
From this, we find
It is well known that uniformly in , , with arbitrary ,
Therefore, by definition of , for ,
This and (7) show that
Using (8), we obtain similarly that
This estimate together with (9) and (5) proves the lemma. □
5. Proof of Theorem 3
We will apply the method of characteristic functions and the weak convergence of distribution functions. Recall that every real non-decreasing left continuous function , , such that and is called the distribution function. It has at most countably many discontinuity points.
Let and , , be distribution functions. We say that converges weakly to as if
for all continuity points x of .
Denote by the characteristic function of a distribution function , i.e.,
The weak convergence of distribution functions and convergence of the corresponding characteristic functions are connected by continuity theorems, see, for example, [13].
Lemma 6.
Suppose that converges weakly to as . Then converges to as uniformly in u in every finite interval.
Lemma 7.
Suppose that as converges to a function continuous at the point . Then converges weakly to a certain distribution function as . The function is the characteristic function of .
Proof of Theorem 3.
Let be the same as in the proof of Theorem 2. For the objects of Theorem 3, define the functions
and
Then the functions , and with respect to are distribution functions. Moreover, the above definitions imply the equality
Therefore, if and only if , i.e., if is a continuity point of . By Lemmas 1 and 3, converges to as for such that . Hence, converges weakly to as . This and Lemma 6 show the convergence of the corresponding characteristic functions, i.e.,
as uniformly in u, with every fixed . It remains to prove that the above asymptotic equality remains valid with in place of . Actually, we have
Therefore, in view of the definitions of and , using the inequality , , as well as the triangle inequality
we obtain
Hence, by Lemma 5, we have
as uniformly in . Thus, in view of (10),
as uniformly in . The function is a continuous, therefore, Lemma 7, implies that converges weakly to as , and the theorem is proved because has at most countably many discontinuity points. □
6. Conclusions
Universality of zeta-functions and Dirichlet series, in general, is a very interesting phenomenon of the theory of analytic functions. Roughly speaking, universality means that a wide class of analytic functions can be approximated by shifts of one and the same Dirichlet series (in the case of the Riemann zeta-function, by shifts , ). Clearly, for practical applications, the use of discrete shifts , , is more convenient than , , because it is easier to find k in the set than in the set with approximating property. Moreover, it is more convenient to deal with absolutely convergent series. In the paper, we propose the discrete approximation of analytic functions by shifts , where is a certain sequence of absolutely convergent Dirichlet series. From the main theorem (Theorem 3), it follows that there exist and such that for every , there are more than shifts such that
for and .
Author Contributions
Conceptualization, A.L. and D.Š.; Methodology, A.L. and D.Š.; Investigation, A.L. and D.Š.; Writing–original draft preparation, A.L. and D.Š.; Writing–review and editing, A.L. and D.Š. All authors have read and agreed to the published version of the manuscript.
Funding
The research of the first author is funded by the European Social Fund (project No. 09.3.3-LMT-K-712-01-0037) under grant agreement with the Research Council of Lithuania (LMT LT).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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