Abstract
For , are such that the set is linearly independent over . In the paper, we consider simultaneous approximation of a tuple of analytic functions by shifts of the Hurwitz zeta-functions. We prove that the set of these shifts has a positive lower density in the interval for . This extends the known results obtained for algebraically independent , , and with . Moreover, we obtain a theorem on approximation of analytic functions by a linear combination of derivatives of Hurwitz zeta-functions. From that theorem, it follows that the number of zeros of that linear combination lying in the region is greater than with some . This generalizes and extends the classical Voronin result for the function with rational . For the proofs, a probabilistic approach is used.
Keywords:
approximation of analytic functions; Hurwitz zeta-function; linear independence; space of analytic functions; universality; weak convergence of probability measures MSC:
11M35
1. Introduction
Let , , be a fixed parameter. The Hurwitz zeta-function , , is one of the analytic functions that are widely used in number theory. It was introduced by A. Hurwitz in [1], and, for , is defined by the Dirichlet series:
Moreover, the function has analytic continuation to the whole complex plane, except for the point which is its simple pole with residue 1. The Hurwitz zeta-function covers the Riemann zeta-function
namely, , and
Analytic properties of the Hurwitz zeta-function depend on arithmetic of the parameter , and differ significantly from those of . From the Euler product over primes
it follows easily that has no zeros in the half-plane , while , for or , possesses zeros lying in that half-plane. In the case of rational or transcendental , this has been proved by H. Davenport and H. Heilbronn in [2], while this has been done for algebraic irrational by J.W.S. Cassels in [3].
The function is an important object of analytic number theory; however, it is also useful in special function theory, mathematical statistics and even in quantum physics. The classical theory of is presented in [4,5]; see also [6,7].
In this paper, we are interested in approximation properties of Hurwitz zeta-functions and their applications for zero-distribution.
The function , as with some other zeta- and L-functions, for some classes of the parameter , is universal in the sense that its shifts, , , approximate an entire class of analytic functions. S.M. Voronin is the discoverer of universality for . Let , and be a continuous non-vanishing function on K which is analytic inside of K. Then, Voronin proved in [8]—see also [9,10,11,12,13]—that, for every , there exists such that
Moreover, he obtained joint universality of Dirichlet L-functions with pairwise non-equivalent characters [10], and, from this, derived [11] the lower bound for the number of zeros of the function with rational , , , . More precisely, he proved that, for arbitrary , , , there is a constant such that, for sufficiently large T, the function has more than zeros in the region . A proof of this result in non-explicit form contains universality of with rational . A full proof of universality of with rational has been given in [14,15]. We state below a modern version of universality for the function . We use the following notation. Let be the class of compact subsets of the strip with connected complement, let with be the class of continuous functions on K that are analytic inside of K, and let denote the Lebesgue measure of a measurable set .
Proposition 1
(See [14,15,16,17,18,19,20,21,22,23]). Suppose that the parameter α is transcendental, or rational or . Then, for every , and ,
Moreover, the limit
exists and is positive for all but at most countably many .
In [23,24], it was observed that the transcendence of in Proposition 1 can be replaced by a more general requirement on the linear independence over the field of rational numbers for the set .
The case of algebraic irrational is the most complicated one, and the effective result in that case is given in [25].
Proposition 2
(See Theorem 2 of [25]). Let α be an algebraic irrational number of degree d, , , , and . Suppose is a function continuous and analytic in the interior of the disc , , and . Then, for all but finitely many of degree at most with
there is and such that
where is explicitly given. The set of exceptional α is described effectively, and δ is effectively computable as well.
Proposition 2 illustrates the importance of the degree of in the universality problem.
Proposition 1 has an extension for the case of the so-called short intervals when density of approximating shifts is investigated in the interval with as .
For brevity, denote
and in place of dots write a condition that satisfies.
Proposition 3
(See [26,27]). Let the parameter α be transcendental or rational , , , , and . Then, for every , and ,
Moreover, for every and , the limit
exists and is positive for all but at most countably .
The case of transcendental was obtained in [26], while the rational case is treated in [27].
For the proof of Proposition 3, the important role belongs to the new mean square estimate [26]
which is uniform in H, , and is valid for .
In the case of or , more precise results are known. Denote by a subclass of , , of functions non-vanishing on K. Let . Observe that .
Proposition 4
(See [27,28]). Suppose that or , and . Then, for every , and , the statements of Proposition 3 are valid.
The proof of the proposition is based on the estimate obtained in [28]
for some and .
Proposition 1 allows obtaining certain information on the number of zeros of lying in the strip . The following statement is known [11].
Proposition 5
(See [11]). Suppose that , , , . Then, for every , , there exists such that, for sufficiently large T, the function has more than zeros in the region .
Using Proposition 3 extends Proposition 5 for short intervals.
Proposition 6
(See Theorem 4 of [27]). Suppose that the parameter α is transcendental or rational or , and . Then, for every , , there is a constant such that, for sufficiently large T, the function has more than zeros in the region .
Universality of zeta-functions has a joint generalization, i.e., a simultaneous approximation of a tuple of analytic functions by a tuple of considered zeta-functions. For Hurwitz zeta-functions, the following result is known.
Proposition 7
(See Theorem 1 of [24]). Suppose that, for , , and the set
is linearly independent over . For , let and . Then, for every ,
We recall that the numbers are said to be algebraically independent over if there does not exist a polynomial with rational coefficients such that . It is not difficult to see that if the numbers are algebraically independent over , then the set (it can be a multiset) is linearly independent over .
The purpose of this article is a certain effectivization of joint universality for Hurwitz zeta-functions. More precisely, we extend Proposition 7 for short intervals. The first attempt in this case was made in [29] for algebraically independent and . The purpose of this paper is to substitute the algebraic independence of for the linear independence over of the set as well as to extend the interval for H until . Observe that . We notice that the linear independence of is a more general requirement than the algebraic independence of . Unfortunately, concrete examples of such algebraically dependent numbers for which the set is linearly independent over and are not known. An extension of the interval for H is closely related to new estimates for the mean square in short intervals. Moreover, we obtain universality of a linear combination of derivatives of Hurwitz zeta-functions, and the lower estimate for a number of zeros of that combination in short intervals.
For the proofs, we develop the probabilistic approach which reflects the results of previous works. Our innovation relies on the new mean square estimate in short intervals obtained in [26].
2. Statements of Results
Theorem 1.
Suppose that, for , , the set is linearly independent over , and . For , let and . Then, for any ,
Moreover, for every and , , the limit
exists and is positive for all but at most countably many .
By denote the space of analytic functions on equipped with the topology of uniform convergence on compacta. For define by
where, for , are not all zero, and .
Theorem 2.
Suppose that, for , , the set is linearly independent over , and . Let and . Then, for every ,
Moreover, for every and , the limit
exists and is positive for all but at most countably many .
Theorem 3.
Suppose that, for , , the set is linearly independent over , and . Then, for every , , there exists a constant such that, for sufficiently large T, the function
has more than zeros in the rectangle .
3. Probabilistic Results
A problem of approximation by shifts of zeta-functions is closely connected to the statistical behaviour of zeta-functions; see [15,16,17]. In this section, we give a probabilistic background for joint distribution of Hurwitz zeta-functions in short intervals. In this approach, weak convergence of probability measures occupies a crucial role. Let denote the Borel -field of the space (topological in general), and , , and Q be probability measures on . By the definition, converges weakly to Q as , or shortly , if, for every real continuous bounded function g on , the relation
holds. In this paper, we deal with the spaces and . Recall that the space is equipped with the topology of uniform convergence on compacta, and
uses the product topology.
Let, for brevity,
The main probabilistic object in this section is the probability measure
and our aim is the weak convergence of as to an explicitly given probability measure on . The definition of the limit measure is based on one topological object. Define
with
In the set , the operation of pairwise multiplication and product topology can be introduced, and becomes a compact topological group. Hence, is a compact topological group. Therefore, on , the probability Haar measure exists, and this leads to the probability space . Denote elements of by , , . Now, on the probability space , define the -valued random element
and let
be its distribution.
The main result of this section is the following statement.
Theorem 4.
Suppose that, for , , the set is linearly independent over , and . Then the relation
holds.
3.1. Auxiliary Lemmas
We observe that the Haar measure on is a convenient object which ensures a certain independence situation in probabilistic sense. We add that the Fourier transform of the Haar measure takes only two values: 0 or 1.
We begin with a limit lemma on the group . For , define
Lemma 1.
Suppose that the set is linearly independent over , and . Then we have
Proof.
We consider the Fourier transform of the measure . Recall that the characters of the group are given by
where the star * indicates that only a finite number of integer numbers are distinct from zero. Hence, the Fourier transform , , , of the measure is
The linear independence of the set implies that
for , where . Therefore, in this case we find by (2)
Obviously, for ,
Thus, this and (2), (3) show that
Since the group is compact, it is the Lévy group. Therefore, weak convergence of probability measures follows from convergence of the corresponding Fourier transforms, see Theorem 1.4.2 of [30]. Thus, converges weakly to the measure defined by the Fourier transform (4). Since (4) corresponds the Haar measure, this proves the lemma. □
Now, we introduce the auxiliary Dirichlet series related to Hurwitz zeta-functions. Fix , and, for and , set
Thus, exponentially decreese with respect to m. Introduce the Dirichlet series
which, in view of the above remark on , converges absolutely in any half-plane . For brevity, set
define
and investigate weak convergence of as . For this, introduce the mapping defined by
where
and
Since the series for , , are absolutely convergent for any , the mapping is continuous; hence, it is -measurable. Therefore, the Haar measure on and mapping define the unique probability measure on the space given by
where denotes the preimage of a set A.
We use the following assertion on preservation of weak convergence under certain mappings.
Lemma 2.
Suppose that , , and P are probability measures on and is a continuous mapping. If , then as well.
The lemma is a partial case of Theorem 5.1 of [31].
We will apply Lemma 2 for the probability measures , and .
Lemma 3.
Suppose that the set is linearly independent over . Then .
Proof.
By the definitions of and , we have
and
Thus, we obtain , where is from Lemma 1. Therefore, By Lemmas 1 and 2, it follows that . □
Denote . We observe that is independent of H. remains the same for every H from the interval .
Our next task is to show that the tuples and are close in a certain sense. For description of that closeness, a suitable metric in is needed. Let, for ,
where is a sequence of compact embedded subsets of such that the strip is the union of all , and every compact set lies in some . Then we have that d is a metric in inducing its topology of uniform convergence on compacta.
Now let . Then, taking
defines a metric in that induces its product topology.
The next lemma shows a closeness of and .
Lemma 4.
Suppose that . Then
Proof.
By the definitions of the metrics d and , it suffices to prove that, for every compact set and ,
and the latter equality using (1) has been obtained in [26], Lemma 4. □
Let , , and X be -valued random elements with the corresponding distributions and Q, respectively. We say that converges to X as in distribution () if . For convenience, we state a version of Theorem 4.2 of [31] for the space .
Lemma 5
(See [31]). Suppose that , and , are -valued random elements on a certain probability space ,
and, for every ,
Then .
3.2. Proof of Theorem 4
Let be a random variable defined on the certain probability space and uniformly distributed in the interval . On , define the -valued random element
and let be the -valued random element with the distribution . Then the assertion of Lemma 3 can be rewritten as
Now, we discuss the random element . In [24], the probability measure
as , was considered, and, in the proof of Theorem 9, it was obtained that there exists a probability measure on such that . Let
Then, in [24], it was obtained that (Lemma 5 and Theorem 6 of [24])
as well. It is very important that, in the proof of Theorem 9 of [24], it was observed that the measure coincides with the measure P, given by
Finally, in the proof of Theorem 4 of [24], P has been identified, using elements of ergodic theory, and it was obtained that . Thus,
Define
It remains to show that
For this, we apply Lemma 5. In view of Lemma 4, we obtain that, for any ,
This, (5) and (7) show that all hypotheses of Lemma 5 are satisfied for the random elements , and . Therefore, we have that the relation (8) is valid. The theorem is proved.
4. Proof of Theorem 1
Theorem 1 is a consequence of Theorem 4. We start with recalling two convenient equivalents of weak convergence. Suppose that , , and P are probability measures on . Denote by the boundary of . If , then A is called the continuity set of P.
Lemma 6.
The statement is equivalent to every one of the statements:
Let be arbitrary continuity set of P. Then the equality
holds;
Let be an arbitrary open set. Then the inequality
holds.
A proof of the lemma can be found in [31], Theorem 2.1.
For convenience, we also remind that a support of the measure P on is a closed minimal set such that . The set S is formed of all elements satisfying for any neighbourhood G of a.
Lemma 7
(See Theorem 11 of [24]). Let the set be linearly independent over . Then the support of the measure is the space .
We also recall a version of the Mergelyan theorem as the next lemma.
Lemma 8
(See [32,33]). Let be a compact set having connected complement, and a continuous function on K and analytic inside of K. Then, for every , there is a polynomial such that
Proof of Theorem 1.
Fix . Then, by Lemma 8, there are polynomials satisfying
Introduce the set
In virtue of Lemma 7, the set is a neighbourhood of the element of the support of the measure . Hence, by a support property,
Since is open, by Theorem 4 and of Lemma 6, we find that
and the forms of and yield
Define one more set
Then (9) shows that . This remark together with (11) proves the first part of the Theorem 1.
To prove the second part of the theorem, we need to describe the boundary of the set . First we observe that the set belongs to the set
Therefore, the boundaries of the set have no common points for different positive . Hence, by a standard way, we find for at most a countable set of values of . Thus, the set is a continuity set of for all but at most countably many . This and application of Theorem 4 and of Lemma 6 give
for all but at most countably many . This, the definitions of and together with (10) prove the second statement of the theorem. □
5. Proof of Theorem 2
Lemma 9.
The mapping u is continuous.
Proof.
Fix a compact set . Then in there exist an open set and a compact set such that . Let be a simple closed contour lying in and enclosing the set K. Moreover, suppose , . Then, by the Cauchy integral formula, for all , we have
This gives the continuity of u. □
For , define
Lemma 10.
Suppose that , , the set is linearly independent over , and . Then .
Proof.
The statement of the lemma is a corollary of Theorem 4, and Lemmas 2 and 9. □
Lemma 11.
Under hypotheses of Lemma 10, the support of is the set .
Proof.
First of all we have that, for any polynomial , there is such that
Hence, we obtain that the preimage is non-empty for any polynomial p.
Fix and take its open neighbourhood . By Lemma 8, there exists a polynomial such that . Hence, we have that is an open neighbourhood of some . Thus, in view of Lemma 7,
so , and this proves the lemma. □
Proof of Theorem 2.
We follow the proof of Theorem 1. For , by Lemma 8, there is a polynomial satisfying
Let
In virtue of Lemma 11, the set is an open neighbourhood of the element of the support of . Hence,
Moreover, by Lemma 10 and of Lemma 6, we obtain
and this implies
Introduce one more set:
Inequality (12) implies that . From this and (14), we have the first assertion of Theorem 2.
In order to prove the second assertion of Theorem 2, we notice that the boundary of is in the set
This shows that the sets and do not intersect for . Hence, for at most countably many . In other words, the set is a continuity set of the measure for all but at most countably many . Thus, by Lemma 10 and of Lemma 6, and (13),
for all but at most countably many , and the definitions of and give the second statement of the theorem. □
6. Proof of Theorem 3
The proof of Theorem 3 is based on Theorem 2 and the Rouché theorem; see, for example, [34], which, for the convenience, we formulate below.
Lemma 12.
Suppose that the functions and are analytic in the region G with closed contour . If
then the functions and have the same number of zeros inside of , counting multiplicities.
Proof of Theorem 3.
We use the notation
We apply the Rouché theorem (Lemma 12) for the functions
and in the disc . Take satisfying
By Theorem 2, there is , , such that
In view of (15), we see that, for ,
Therefore, the functions
and satisfy the hypotheses of Lemma 12 in the disc K. Obviously, for the unique . Hence, the sum
possesses the unique zero in K as well. Since, by Theorem 2, the set of satisfying (16) has a positive lower density in , there is such that, for sufficiently large T, the function has more than zeros in the region . The proof is complete. □
7. Conclusions
We obtained in the paper that a tuple of shifts of Hurwitz zeta-functions with parameters , such that the set is linearly independent over and simultaneously approximating a tuple of analytic functions in , has a positive lower density in . Moreover, the latter tuple of shifts, with some exception in approximation accuracy, has a positive density. From this, it is derived that shifts of a linear combination of derivatives of the above Hurwitz zeta-functions approximate as well as analytic functions given in : the set of approximating shifts is also reached in the sense of lower density (and density) in . Moreover, the latter result implies that the mentioned linear combination has more than , with some , zeros lying in the rectangle with arbitrary .
We notice that the results of the paper can be generalized for more general mappings than linear combinations of derivatives. Moreover, we believe that forthcoming papers can extend the results for the so-called periodic zeta-functions and given, for , by
where and are periodic sequences of complex numbers. This is based on the possibility of obtaining mean square estimates for and in short intervals.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The author thanks the reviewers for useful remarks and suggestions.
Conflicts of Interest
The author declares no conflicts of interest.
References
- Hurwitz, A. Einige Eigenschaften der Dirichletschen Funktionen , die bei der Bestimmung der Klassenanzahlen binärer quadratischer Formen auftreten. Z. Math. Phys. 1882, 27, 86–101. [Google Scholar]
- Davenport, H.; Heilbronn, H. On the zeros of certain Dirichlet series. J. Lond. Math. Soc. 1936, 11, 181–185. [Google Scholar] [CrossRef] [Scilit]
- Cassels, J.W.S. Footnote to a note of Davenport and Heilbronn. J. Lond. Math. Soc. 1961, 36, 177–184. [Google Scholar] [CrossRef] [Scilit]
- Apostol, T.M. Introduction to Analytic Number Theory; Springer: New York, NY, USA; Heidelberg/Berlin, Germany, 1976. [Google Scholar]
- Ivič, A. The Riemann Zeta-Function; John Wiley & Sons: New York, NY, USA, 1985. [Google Scholar]
- Karatsuba, A.A.; Nathanson, M.B. Basic Analytic Number Theory; Springer: Berlin/Heidelberg, Germany, 1993. [Google Scholar]
- Prachar, K. Primzahlverteilung; Springer: Berlin/Göttingen/Heidelberg, Germany, 1957. (In German) [Google Scholar]
- Voronin, S.M. Theorem on the “universality” of the Riemann zeta-function. Math. USSR Izv. 1975, 9, 443–453. [Google Scholar] [CrossRef] [Scilit]
- Voronin, S.M. A theorem on the distribution of values of the Riemann zeta-function. Sov. Math. Dokl. 1975, 16, 410. [Google Scholar]
- Voronin, S.M. On the functional independence of Dirichlet L-functions. Acta Arith. 1975, 27, 443–453. (In Russian) [Google Scholar] [CrossRef] [Scilit]
- Voronin, S.M. Analytic Properties of Arithmetic Objects. Ph.D. Thesis, V.A. Steklov Mathematical Institute, Moscow, Russia, 1977. [Google Scholar]
- Voronin, S.M. Selected Works: Mathematics; Karatsuba, A.A., Ed.; Moscow State Technical University Press: Moscow, Russia, 2006. [Google Scholar]
- Karatsuba, A.A.; Voronin, S.M. The Riemann Zeta-Function; Walter de Gruiter: Berlin, Germany; New York, NY, USA, 1992. [Google Scholar]
- Gonek, S.M. Analytic Properties of Zeta and L-Functions. Ph.D. Thesis, University of Michigan, Ann Arbor, MI, USA, 1979. [Google Scholar]
- Bagchi, B. The Statistical Behaviour and Universality Properties of the Riemann Zeta-Function and Other Allied Dirichlet Series. Ph.D. Thesis, Indian Statistical Institute, Calcutta, India, 1981. [Google Scholar]
- Steuding, J. Value-Distribution of L-Functions; Lecture Notes in Mathematics; Springer: Berlin/Heidelberg, Germany; New York, NY, USA, 2007; Volume 1877. [Google Scholar]
- Kowalski, E. An Introduction to Probabilistic Number Theory; Cambridge University Press: Cambridge, UK, 2021. [Google Scholar]
- Nakamura, T. The existence and the non-existence of joint t-universality for Lerch zeta-functions. J. Number Theory 2007, 125, 424–441. [Google Scholar] [CrossRef] [Scilit]
- Mishou, H. The joint value-distribution of the Riemann zeta-function and Hurwitz zeta-functions. Lith. Math. J. 2007, 47, 32–47. [Google Scholar]
- Mishou, H. The joint value-distribution of the Riemann zeta function and Hurwitz zeta functions II. Arch. Math. 2008, 90, 230–238. [Google Scholar] [CrossRef] [Scilit]
- Mishou, H. The joint universality theorem for a pair of Hurwitz zeta functions. J. Number Theory 2011, 131, 2352–2367. [Google Scholar] [CrossRef] [Scilit]
- Matsumoto, K. A survey on the theory of universality for zeta and L-functions. In Number Theory: Plowing and Starring Through High Wave Forms, Proceedings of the 7th China-Japan Seminar (Fukuoka 2013), Fukuoka, Japan, 28 October–1 November 2013; Kaneko, M., Kanemitsu, S., Liu, J., Eds.; Series on Number Theory and Its Applications; World Scientific Publishing Co.: Hackensack, NJ, USA; London, UK; Singapore; Beijing, China; Shanghai, China; Hong Kong, China; Taipei, China; Chennai, India, 2015; pp. 95–144. [Google Scholar]
- Meška, L. Modified Universality Theorems for the Riemann and Hurwitz Zeta-Functions. Ph.D. Thesis, Vilnius University, Vilnius, Lithuania, 2017. [Google Scholar]
- Laurinčikas, A. The joint universality of Hurwitz zeta-functions. Šiauliai Math. Semin. 2008, 3, 169–187. [Google Scholar]
- Sourmelidis, A.; Steuding, J. On the value distribution of Hurwitz zeta-function with algebraic irrational parameter. Constr. Approx. 2022, 55, 829–860. [Google Scholar] [CrossRef] [Scilit]
- Laurinčikas, A. Notes on the value distribution of Hurwitz zeta-function in short intervals. Lith. Math. J. 2026; to appear.
- Laurinčikas, A.; Šiaučiūnas, D. On Hurwitz zeta-function in short intervals. Ramanujan J. 2026; submitted.
- Andersson, J.; Garunkštis, R.; Kačinskaitė, R.; Nakai, K.; Pańkowski; Sourmelidis, A.; Steuding, R.; Steuding, J.; Wananiyakul, S. Notes on universality in short intervals and exponential shifts. Lith. Math. J. 2024, 64, 125–137. [Google Scholar] [CrossRef] [Scilit]
- Laurinčikas, A.; Šiaučiūnas, D. Joint approximation of analytic functions by the shifts of Hurwitz zeta-functions in short intervals. Open Math. 2025, 23, 20250173. [Google Scholar] [CrossRef] [Scilit]
- Heyer, H. Probability Measures on Locally Compact Groups; Springer: Berlin/Heidelberg, Germany; New York, NY, USA, 1977. [Google Scholar]
- Billingsley, P. Convergence of Probability Measures, 2nd ed.; John Wiley & Sons: New York, NY, USA, 1999. [Google Scholar]
- Mergelyan, S.N. Uniform approximations of functions of a complex variable. Usp. Matem. Nauk 1952, 7, 31–122. [Google Scholar]
- Mergelyan, S.N. Uniform approximations to functions of a complex variable. In American Mathematical Society Translations; no. 101; American Mathematical Society: Providence, RI, USA, 1954. [Google Scholar]
- Titchmarsh, E.C. The Theory of Functions, 2nd ed.; Oxford University Press: Oxford, UK, 1997. [Google Scholar]
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