On the distribution of $\alpha p$ modulo one in imaginary quadratic number fields with class number one
Stephan Baier, Marc Technau

TL;DR
This paper studies how the products of a fixed complex number and prime elements in imaginary quadratic fields distribute modulo one, extending classical results using advanced sieve methods and harmonic analysis techniques.
Contribution
It extends distribution results of $eta p$ modulo one to imaginary quadratic fields with class number one, employing Harman's sieve and Poisson summation in a novel setting.
Findings
Infinitely many primes p satisfy the inequality involving $ orm{eta p}_ ext{omega}$
Established distribution bounds analogous to classical results in new number field context
Introduced smoothing techniques for effective use of Poisson summation in algebraic number fields
Abstract
We investigate the distribution of modulo one in imaginary quadratic number fields with class number one, where is restricted to prime elements in the ring of integers of . In analogy to classical work due to R. C. Vaughan, we obtain that the inequality is satisfied for infinitely many , where measures the distance of to and denotes the norm of . The proof is based on Harman's sieve method and employs number field analogues of classical ideas due to Vinogradov. Moreover, we introduce a smoothing which allows us to make conveniently use of the Poisson summation formula.
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Taxonomy
TopicsAnalytic Number Theory Research · Historical Studies and Socio-cultural Analysis · Vietnamese History and Culture Studies
On the distribution of
modulo one in imaginary quadratic number fields with class number one
Stephan Baier
Stephan Baier
Ramakrishna Mission Vivekananda Educational Research Institute
Department of Mathematics
G. T. Road, PO Belur Math, Howrah, West Bengal 711202
India
[email protected] https://www.researchgate.net/profile/Stephan_Baier2 and
Marc Technau
Marc Technau
Graz University of Technology
Institute of Analysis and Number Theory
Kopernikusgasse 24/II
8010 Graz
Austria
[email protected] https://www.math.tugraz.at/~mtechnau/
Abstract.
We investigate the distribution of modulo one in imaginary quadratic number fields with class number one, where is restricted to prime elements in the ring of integers of . In analogy to classical work due to R. C. Vaughan, we obtain that the inequality is satisfied for infinitely many , where measures the distance of to and denotes the norm of .
The proof is based on Harman’s sieve method and employs number field analogues of classical ideas due to Vinogradov. Moreover, we introduce a smoothing which allows us to make conveniently use of the Poisson summation formula.
Key words and phrases:
Distribution modulo one, Diophantine approximation, imaginary quadratic field, smoothed sum, Poisson summation
2010 Mathematics Subject Classification:
Primary 11J17; Secondary 11L07, 11L20, 11K60.
1. Introduction
Dirichlet’s classical approximation theorem asserts that, given some real irrational , there are infinitely many rational integers () with
[TABLE]
or—equivalently—on writing for the distance to a nearest integer,
[TABLE]
Albeit individual values of may allow for significantly sharper approximation by rational numbers, Hurwitz’s approximation theorem implies that the exponent in Eq. 1.1 is optimal in the sense that it cannot be decreased without the resulting new inequality failing to admit infinitely many solutions for some real irrational (see, e.g., [5, Theorems 193 and 194]).
A natural variation on the question about the solubility of Eq. 1.1 is to impose the additional restriction that be a rational prime and ask for which exponent one is able to establish that, for any real irrational ,
[TABLE]
In this direction I. M. Vinogradov [21] obtained Eq. 1.2 with , a result which has since then been improved by a number of researchers (see Table 1) culminating in the work of Matomäki [15] who obtained . This exponent is considered to be the limit of the current technology (see the comments in [10]).
In view of the above, the first named author [1] proposed to study the analogue of Eq. 1.2 for the Gaussian integers. The approach in [1] rests upon Harman’s sieve method [6, 7, 8] and the required ‘arithmetical input’ is obtained using novel Gaussian integer analogues of classical ideas due to Vinogradov [21, Lemma 8a].
In this paper, we consider the more general problem of proving analogues of Eq. 1.2 for imaginary quadratic number fields. It turns out that, in our opinion, this setting also has the pleasant side effect of painting a clearer picture of the Diophantine arguments that underpin the aforementioned arithmetical information. Preliminary results in this direction were obtained in the second author’s doctoral dissertation [19]. A novel aspect of the present work is our additional use of smoothing directly incorporated into Harman’s sieve method.
2. Main results
Before stating our results, we shall introduce some notation which is used throughout the rest of the article. We fix some imaginary quadratic number field with distinguished embedding into the complex numbers by means of which we shall regard as a subfield of . By we denote the ring of integers of , i.e., the integral closure of in . As is a quadratic extension of , it follows from well-known results from elementary algebraic number theory that is a free -module of rank and there is some such that is a -basis of . Since, by assumption, , and being the field of fractions of , it follows that . In particular, turns out to be an -basis of and, given some , we write and for the unique real numbers satisfying
[TABLE]
With this notation, we put
[TABLE]
The natural notion of ‘size’ of an element is furnished by its norm , that is, the number of elements in the factor ring . It can be shown that , where is the usual absolute value of considered as a complex number.
The question we ask may now be enunciated as follows:
Given some imaginary quadratic number field with ring of integers , a choice of -basis of , and given some , for which , does one have
[TABLE]
for infinitely many irreducible (or prime) elements ?
As unique factorisation underpins the sieve method we employ to tackle the above question, we are forced to restrict our considerations to only those with class number (which, in this setting, is equivalent to being a unique factorisation domain). The full determination of all such is provided by the celebrated Baker–Heegner–Stark theorem [11, 2, 16, 17]:
Theorem** (Baker–Heegner–Stark).**
*The imaginary quadratic number fields with class number are (up to isomorphism) precisely those with from the finite list , , , , , , , , . *
Our main result states that in the above question any is admissible, provided that has class number . This is the precise analogue of Vaughan’s exponent for the classical case, obtained in [20]. Note that in the class number setting, the notions of prime and irreducible coincide.
Theorem 2.1**.**
Let be an imaginary quadratic number field with class number and let be its ring of integers with -basis . Suppose that is a complex number such that . Then, for any , there exists an infinite sequence of distinct prime elements such that
[TABLE]
Our approach to proving 2.1 involves counting prime elements with a certain smooth weight attached to them. On the other hand, one can also use sharp cut-offs and obtain a less fuzzy quantitative result at the cost of having to restrict to smaller values of in the above question. We prove the following:
Theorem 2.2**.**
Let be an imaginary quadratic number field with class number and let be its ring of integers with -basis . Suppose that is sufficiently small. Let be a complex number not contained in . Furthermore, suppose that one has coprime such that
[TABLE]
for some constant and put . Then, for any such that
[TABLE]
we have
[TABLE]
where the summation variable (as throughout) only assumes prime elements of and the implied constant depends on alone.
Remark**.**
(1) Instead of considering the homogeneous condition in the above theorem, one can also consider a shifted version, namely , where is an arbitrary complex number. In fact, the authors [20, 6, 12, 7, 13] listed in Table 1 also consider the shifted analogue of Eq. 1.2, but the innovation introduced by Heath-Brown and Jia [10] has, as they remark, the defect of entailing the restriction to . Regardless of this, the methods pursued by us in the present paper are perfectly capable of handling shifts and we merely chose not to implement this for cosmetic reasons.
(2) In his recent preprint [9] on the case , Harman achieved the result in 2.2 with the exponent , which corresponds to the exponent 7/22 in his classical result [7] mentioned above. To this end, he didn’t use a smoothing but introduced a number of novelties to overcome obstacles that are present in the non-smoothed approach. In particular, he was able to handle linear exponential sums over certain regions in in an efficient way. It is likely that these novelties can be carried over to all imaginary-quadratic fields of class number 1, but we here confine ourselves to the simplest possible treatment, thus obtaining the exponent 1/28 for all fields of this kind. The way we overcome the said obstacles is to introduce a smoothing which allows us to use the Poisson summation formula conveniently. This leads us to 2.1, where we achieve the exponent 1/8 corresponding to Vaughan’s result for the classical case [20]. To achieve the larger exponent in full generality for the said fields, it would be required to carry over Harman’s lower bound sieve, established in [7], to them. This is a task we aim to undertake in a separate paper since the proof of the aforementioned sieve result is technically complicated and therefore requires a large amount of extra work. In particular, it involves a number of numerical calculations which are not required for the proof of the basic version which we are using here.
Still assuming to have class number , and appealing to Landau’s prime ideal theorem one easily deduces that
[TABLE]
where is some constant only depending on .
Therefore, 2.2 implies 2.1 with the exponent in Eq. 2.1 replaced with provided one is able to verify the existence of infinitely many and as required by the theorem; however, the latter problem is already solved by Hilde Gintner [4]. In this regard, let be the fundamental parallelogram spanned by and ,
[TABLE]
Lemma** (Gintner).**
Let be a complex number not contained in . Then there are infinitely many satisfying Eq. 2.2 with and given by Eq. 2.5.
Albeit the above lemma does not assert that be coprime, if has class number , then one can appeal to unique factorisation and cancel any potential non-trivial common factors from and . So, indeed, one has the aforementioned relation between 2.2 and 2.1.
3. Outline of the method
3.1. The sieve method
For the detection of the prime elements in 2.1 and 2.2 we use a sieve result due to Harman—with additional smoothing and adapted to our number field setting—which has the pleasant feature of keeping our exposition reasonably tidy. The underlying sieve method itself and its various refinements are also capable of yielding lower bounds instead of asymptotic formulae, in exchange for the prospect of increasing the admissible range for in Eq. 2.3 (or in the main question), but we do not implement this here. The interested reader is referred to Harman’s exposition of his method [8]. The following special case suffices for our purposes; we write for the number of ways in which an ideal can be written as a product of ideals of , and we write .
Theorem 3.1** (Weighted version of Harman’s sieve for ).**
Suppose that has class number and let be real. Let be two functions such that, for both and ,
[TABLE]
*for some and assume that for any pair of associate elements . Suppose further that one has numbers , , , and with the following property:
For any sequences , of complex numbers with and , one has*
[TABLE]
Then
[TABLE]
where
[TABLE]
and the implied constant is absolute. (Here all infinite series appearing in Eqs. 3.2, 3.3 and 3.4 are guaranteed to be absolutely convergent by Eq. 3.1.)
Remark 3.2**.**
We comment briefly on how we apply the above theorem: informally speaking, the goal is to choose the weight functions and in such a way that essentially only elements with contribute in the definition of and . Then, choosing , these are guaranteed to be prime, and, for ,
[TABLE]
The choice of is made as to guarantee that is essentially a known quantity by an appeal to Eq. 2.4, and is tailored to enforce a restriction such as as in 2.2. Finally, assuming that one proves suitably strong versions of Eq. 3.2 and Eq. 3.3, 3.1 asserts that must be of similar magnitude as , and, therefore, one ascertains information about the abundance of prime elements with the desired properties as encoded in the weight function .
The proof of 3.1 is essentially identical to the usual proof of Harman’s sieve in the setting of [8, §§ 3.2–3.3]; it uses the sieve of Eratosthenes–Legendre to relate to certain sums with more variables and applies Buchstab’s identity multiple times to produce variables in the correct ranges for Eqs. 3.2 and 3.3 to become applicable. In the process of doing so, one has to remove certain cross-conditions between summation variables—a feat which is accomplished using a variant of Perron’s formula (see 7.1 below). In our number field setting, this results in a slight complication which is not present when working over the rational integers: at some point one is faced with having to remove a condition of the type from a double sum with summation variables and assuming only non-associate prime elements as values (see the arguments around Eq. 7.12 below). However, this problem can be overcome. For the convenience of the reader we provide a detailed proof of 3.1 in Section 7 below.
3.2. Outline of the rest of the paper
Apart from proving 3.1 in Section 7, we proceed as follows: by the outline given in 3.2, the bulk of the remaining work lies in the verification of Eq. 3.2 and Eq. 3.3 for the two choices of and that we use below (non-smoothed and smoothed). Both arguments ultimately hinge on distribution results related to the sequence (). We devote our attentions to establishing such results first. This is done in Section 4, with its principal results being stated in 4.3 and 4.4.
Section 5 is devoted to proving 2.2, with this goal being achieved in Section 5.7. The results concerning Eq. 3.2 and Eq. 3.3 are recorded in 5.4 and 5.2 respectively.
In Section 6 we undertake proving 2.1. The analogues of the aforementioned propositions are 6.6 and 6.7 and their proof is largely parallel to the proof of their non-smoothed counterparts. The main innovation here is contained in 6.4, which takes advantage of the smooth weights by means of Poisson’s summation formula.
4. Exponential sum estimates
In Section 5 we need estimates for sums of the shape
[TABLE]
where the summation over is restricted to some annulus with bounds and depending on . In Section 4.2 we estimate the inner summation and in Section 4.3 we deal with the additional summation over . The corresponding proof is then carried out in the subsequent sections. Moreover, using the tools developed in Section 4.4, we also establish a closely related result which is useful in Section 6 (see 4.4).
In what follows, we sometimes have expressions like ; if a division by zero occurs there, then the result is understood to mean .
4.1. Some facts about quadratic extensions
Before being able to tackle the problem outlined above, we take the opportunity to record here some basic facts about quadratic extensions which we use throughout.
Lemma 4.1**.**
Let be an imaginary quadratic number field with ring of integers and generator of , that is, . Then the following statements hold:
- (1)
The number of units in is bounded by six. 2. (2)
. 3. (3)
* is an integer.* 4. (4)
For , , where the implied constant is absolute.
Proof.
The first assertion may be found in [5].
For the second assertion just observe that there is some negative square-free rational integer such that . Letting if , and otherwise, we have , where . An elementary calculation shows that is of the form for some rational integer . This already proves Item 3. Moreover, from this and a short computation one immediately obtains Item 2 (with equality being attained for ).
Concerning the last assertion, we note that the quantity bounded therein, , counts points inside some ellipse. Elementary arguments suffice to show that this is asymptotically equal to and the uniform lower bound for furnished by the second assertion finishes the proof. ∎
4.2. Basic estimates for linear exponential sums
Lemma 4.2**.**
Let be a complex number and suppose that one has numbers such that . Then
[TABLE]
Proof.
We may assume , for Eq. 4.1 is trivial otherwise. We denote the sum on the left hand side of Eq. 4.1 by . On writing
[TABLE]
and , we obtain the following two expressions for :
[TABLE]
Therefore,
[TABLE]
and
[TABLE]
So, on recalling the well-known bound
[TABLE]
and using the triangle inequality on the outer summations in Eq. 4.3 and Eq. 4.4, we obtain
[TABLE]
The numerators here are bounded easily: indeed, since
[TABLE]
using and 4.1 Item 2, one easily bounds the numerator in Eq. 4.5 by . On the other hand for with there is no such that
[TABLE]
for otherwise it would follow that
[TABLE]
so that , but then
[TABLE]
in contradiction to Eq. 4.7. Hence, the numerator in Eq. 4.6 is bounded by . Thus,
[TABLE]
and, together with the trivial bound from 4.1 Item 4, this is clearly satisfactory to establish Eq. 4.1 for , and the case follows from this bound and
[TABLE]
4.3. Distribution of fractional parts
In view of 4.2 and recalling the goal stated at the beginning of Section 4, we are faced with the problem of estimating sums of the shape
[TABLE]
where , is some subset of with , and
[TABLE]
The usual attack against such a problem is to replace by some Diophantine approximation . Subsequently, after bounding the error introduced from the approximation, one is able to control averages of with constrained to boxes (say) not too large in terms of . By splitting the full range of in Eq. 4.8 into such boxes, one derives a bound for Eq. 4.8 of the shape seen in 4.3 below.
Theorem 4.3**.**
Let be a subset of all with and suppose that one has coprime satisfying Eq. 2.2. Put
[TABLE]
Then, assuming ,
[TABLE]
Furthermore, if , then
[TABLE]
The proof of this result follows the outline given above and is undertaken in the next two subsections. Similarly, we also obtain the following result:
Theorem 4.4**.**
Suppose that one has coprime satisfying Eq. 2.2. For let
[TABLE]
Then
[TABLE]
Moreover, vanishes if and .
4.4. Diophantine lemmas
As a first step, we show that
[TABLE]
cannot be too small if is not an algebraic integer. The results in this section are probably already known in one form or another. However, we were unable to find a suitable reference and, therefore, provide full proofs for the reader’s convenience.
Lemma 4.5**.**
*For non-zero such that , it holds that . *
Proof.
Pick such that
[TABLE]
Now certainly it holds that
[TABLE]
Therefore, to prove the lemma, it suffices to give a suitable lower bound for , which, upon noting that , is quite easy:
[TABLE]
Next, we intend to derive a result similar to 4.5, when is slightly perturbed:
Lemma 4.6**.**
*Let be a complex number and be such that Eq. 2.2 holds. Furthermore, suppose that satisfies and be indivisible by . Then . *
Proof.
First, we separate the perturbation from the rest: we have
[TABLE]
and the same holds when one replaces by . The last term therein is bounded easily: using , 4.1 Item 2 and writing for the moment, we have
[TABLE]
A similar calculation also bounds the corresponding -term:
[TABLE]
Thus, using 4.5,
[TABLE]
Now, by assumption, the term in the parentheses is , and the assertion of the lemma follows. ∎
4.5. Proof of 4.3
Assume the hypotheses of 4.3 and let and be two distinct algebraic integers in which coincide modulo . Then there is some non-zero such that and, hence, . Assuming and to be coprime and , we conclude that is divisible by if and only if . Consequently, if is some set with
[TABLE]
then, according to 4.6, any two distinct points , () satisfy the spacing condition
[TABLE]
Therefore, for , the sum
[TABLE]
is bounded by
[TABLE]
which in turn is bounded by four times the maximum number of points of pairwise maximum norm distance that can be put in a rectangle with side lengths and , i.e.,
[TABLE]
Moving on, let be a parameter at our disposal. Then the sum
[TABLE]
with as defined in Eq. 4.9 admits a decomposition
[TABLE]
By Eq. 4.13 and using (),
[TABLE]
Moreover, using and Eq. 4.13,
[TABLE]
Similarly,
[TABLE]
Assuming , we take to obtain
[TABLE]
Additionally, if , then we take . In this case 4.6 shows that vanishes and, consequently, we have
[TABLE]
Finally, we note that the set can be covered by fewer than
[TABLE]
squares with diameter Eq. 4.12. Together with Eq. 4.14 this proves Eq. 4.10, and together with Eq. 4.15 we obtain Eq. 4.11. This proves 4.3.
Proof of 4.4.
The assertion concerning the vanishing of is contained in 4.6. As for the bound for , cover the set with rectangles as above and employ Eq. 4.13. ∎
5. The non-smoothed version
Here we tackle the problem of verifying the assumptions of 3.1 in a setting suitable for proving 2.2. Throughout, we assume the hypotheses of 2.2, although may be considered arbitrary until Section 5.7, where we take .
5.1. Setting up linear and bilinear forms
Let and . Concerning 3.1, we choose to be , the characteristic function of the set , and . Given these definitions, the limit in (3.1) is actually attained for every and trivial estimates suffice to show that therein may be taken .111Of course, for such divisor sums much better estimates are available (see, e.g., 5.3 below for replaced with ). However, since in 3.1, only the logarithm of enters in the final error term, we can be very sloppy here.
Moving on, we shall want to compare sums of the type
[TABLE]
where the summation indices vary through and the coefficient sequences and consist of complex numbers and satisfy and .
To be more specific, for parameters and , there are two types of sums we would like to estimate
- •
Type I: in the above and is supported only on with for some with (see Eq. 3.2).
- •
Type II: is supported only on with (see Eq. 3.3).
Each type requires a different treatment, but for now it is convenient to start by transforming Eq. 5.1 without restricting to either of the above types. We start with the following result which furnishes a finite Fourier approximation to the saw-tooth function given by
[TABLE]
Lemma 5.1**.**
For all real and , we have
[TABLE]
Proof.
This is Lemma 4.1.2 in [3]. ∎
We now derive a useful expansion of the characteristic function of evaluated at algebraic integers. For an element of we put
[TABLE]
Furthermore, let
[TABLE]
We now consider the characteristic function of the set . For any we have the expansion
[TABLE]
Note here that the first equality in Eq. 5.2 may not hold for . Nevertheless, the last line in Eq. 5.2 remains bounded even in that case. Therefore one can, as we do below, also use the last line of Eq. 5.2 as a substitute for even when . This only introduces an error bounded by a constant times for how many is this applied.
For we consider the sums
[TABLE]
For , on applying 5.1 with some to be specified later (see Eq. 5.26 below), for any choice of summation ranges for , we have
[TABLE]
where
[TABLE]
and
[TABLE]
Similarly, we obtain
[TABLE]
where we have used the trivial estimates
[TABLE]
and
[TABLE]
Now consider
[TABLE]
where the star in the summation indicates that the range of is to be restricted to a Type I or Type II range. The first sum may be written as
[TABLE]
and we can apply Eq. 5.2 to all those terms where . On the other hand, we may use the last line of Eq. 5.2 as a substitute for for all terms in the above at the cost of an error (see the comment just below Eq. 5.2). Then, combining this with our analysis of the sums from above, we find that
[TABLE]
5.2. Removing the weights: dyadic intervals
Here we shall remove the weights Eq. 5.3 attached to the sums in Eq. 5.6. This may be achieved by splitting the summation over (or , ) into dyadic intervals: indeed, for any non-negative , letting
[TABLE]
we find that
[TABLE]
Of course, we shall apply this with
[TABLE]
Now assume for the moment that we have bounds
[TABLE]
where the right-hand side is symmetric in both arguments and does not depend on the particular choice of the coefficients in Eq. 5.8 (but, of course, still subject to the Type I/II conditions presented in Section 5.1); the reader may wish to glance at 5.2 and 5.4 below, where we furnish such bounds for the Type II and Type I sums respectively.
Then, using Eq. 5.6 we have
[TABLE]
We shall return to this in Section 5.7 and now focus on establishing the aforementioned bounds of the shape Eq. 5.9.
5.3. Transforming the argument in the exponential term
In the proof of the bounds for the Type I and Type II sums we need to combine variables in (see Sections 5.4 and 5.5 below). Having this goal in mind, the shape of the argument of the exponential in Eq. 5.8 appears to be, at a superficial glance, a technical obstruction.
However, this putative problem vanishes after a simple variable transformation that we shall now describe: by definition of ,
[TABLE]
Letting be given as in Eq. 4.2 and writing , a short computation yields
[TABLE]
Then, via the equivalence
[TABLE]
and assuming , we observe that Eq. 5.11 equals when is calculated via the above formula. We let be the set of algebraic integers arising from via the above formula, that is, is the set
[TABLE]
Consequently, if is given by Eq. 5.7 with given by Eq. 5.8, then
[TABLE]
For a later extension of the summation over , we note that, using 4.1 Item 2, can be seen to be contained in the set of all satisfying
[TABLE]
The reader will note that this set potentially contains many more elements than , for we obviously have
[TABLE]
In any case, we require both Eq. 5.14 and Eq. 5.15.
5.4. The Type II sums
In this section, we establish the following.
Proposition 5.2** (Type II bound).**
Consider from Eq. 5.7 with given by Eq. 5.8 subject to
[TABLE]
where , and . For the coefficients in Eq. 5.8 assume that and . Moreover, suppose that , , and are as in Eq. 2.2. Then, for any ,
[TABLE]
In the course of the proof of 5.2 and at other places we need the following lemma to control trivial sums over and .
Lemma 5.3**.**
Let be a fixed quadratic number field and its ring of integers. For an ideal let denote the number of ideals , and fix and some integer . Then, for ,
- (1)
, 2. (2)
,
where the implied constants depend at most on , and .
Proof.
The first assertion is a direct consequence of [14]. On the other hand, the second assertion is immediate from the first. ∎
Using 4.1 Item 1 and 5.3 Item 1, we have
[TABLE]
(Note that here the dependence on in 5.3 can be neglected, as we are dealing only with the finitely many imaginary quadratic number fields with class number .)
Proof of 5.2.
Looking at Eq. 5.13, we may split the summation over into ‘dyadic annuli,’ getting
[TABLE]
where, upon employing the transformation described in Section 5.3 along the way, may be taken to be
[TABLE]
(Here and in the following we are always assuming , , and to be positive integers such that .) By Eq. 5.15 and 4.1 Item 4,
[TABLE]
Hence, letting
[TABLE]
Cauchy’s inequality gives
[TABLE]
which, upon expanding the square and rearranging, yields
[TABLE]
where restricts the summation to those with
[TABLE]
Next, we isolate the ‘diagonal contribution’ , that is, those terms where , for in this case the sum over can only be bounded trivially. Using 5.3 Item 1, Eq. 5.15 and 4.1 Item 4, this is found to be
[TABLE]
Moreover, using Eq. 5.14, 5.3, Item 2, 4.2 and Eq. 5.14, we have
[TABLE]
where
[TABLE]
and is given by Eq. 4.9. Thus, using Eq. 5.19 and 4.3, and recalling Eq. 5.18,
[TABLE]
Upon taking the square root, and simplifying the resulting expressions,
[TABLE]
Recalling Eq. 5.17, we infer Eq. 5.16 after adjusting . ∎
5.5. The Type I sums
The next step is to estimate the Type I sums. We establish the following.
Proposition 5.4** (Type I bound).**
Consider from Eq. 5.7 with given by Eq. 5.8 subject to
[TABLE]
where and . For the coefficients in Eq. 5.8 assume that and . Moreover, suppose that , , and are as in Eq. 2.2. Then, for any ,
[TABLE]
Proof.
As we did with the Type II sums in the proof of 5.2, we may split the summation over into dyadic annuli, getting
[TABLE]
where is given by
[TABLE]
Letting and employing 4.2 as well as 5.3 Item 2, we infer
[TABLE]
with given by Eq. 4.9 and by Eq. 5.20 with in place of . 4.3 now shows that
[TABLE]
Herein, for very small , the term becomes problematic. To circumvent this, we note that 4.3 also furnishes the bound
[TABLE]
provided that
[TABLE]
On the other hand, if Eq. 5.23 fails to hold, then, recalling Eq. 5.20, we have
[TABLE]
Therefore, after joining both bounds,
[TABLE]
Upon plugging this into Eq. 5.22, we obtain Eq. 5.21 after adjusting . ∎
5.6. Estimation of
The final task is to bound the error term , defined in Eq. 5.4. We shall establish the following.
Proposition 5.5**.**
Consider from Eq. 5.4, and suppose that , , and are as in Eq. 2.2. Then we have
[TABLE]
Proof.
Using the definition of , writing and using 5.3, we obtain
[TABLE]
We shall bound
[TABLE]
and treat the remaining three sums of this type similarly. To this end, similarly as in Section 4.5, we cover the set of ’s in question,
[TABLE]
by many rectangles with diameter satisfying Eq. 4.12 (see also Eq. 4.16), so that
[TABLE]
Furthermore, we write
[TABLE]
Similarly as in Section 4.5 (see Eq. 4.13), we establish that
[TABLE]
It follows that
[TABLE]
Treating the remaining three sums of this type similarly, we obtain Eq. 5.24 after adjusting . ∎
5.7. Assembling the parts
Finally, we are in a position to use Eq. 5.10. Assume the hypotheses of 5.2. Recall Eq. 5.3. Set
[TABLE]
the term in the brackets on the right-hand side of Eq. 5.24. Then, looking at Eq. 5.16, we use Eq. 5.10 and Eq. 5.24 together with the inequalities
[TABLE]
and
[TABLE]
if , to bound the error in the Type II sums (see Eq. 5.5) as
[TABLE]
being sufficiently small.
Moving on to the Type I sums, accordingly assuming the hypotheses of 5.4 and looking at Eq. 5.21, we use Eq. 5.10 and Eq. 5.24 together with the inequalities
[TABLE]
to infer the estimate
[TABLE]
for the error in the Type I sums.
On recalling Eq. 5.5 and plugging the above bounds into 3.1, we find that the error
[TABLE]
satisfies the bound
[TABLE]
Evidently, this bound is increasing with and to detect primes, we must take . In view of Eq. 2.4, we shall aim for a bound of the type
[TABLE]
with in some range (w.r.t. ) as large as possible. With this constraint in mind, and given , we take (as was stated in 2.2) so that and, moreover,
[TABLE]
Then, under the additional assumption that , we obtain
[TABLE]
provided is sufficiently small. This implies that Eq. 5.25 holds for sufficiently small and
[TABLE]
which concludes the proof of 2.2 after adjusting .
6. The smoothed version
Here, in a similar vein to Section 5, we work on providing the details for what was outlined in 3.2. However, this time the aim is to prove 2.1.
6.1. The modified setup
Throughout the rest of Section 6 we make the following assumptions: is supposed to be sufficiently small and fixed. is an imaginary quadratic number field with class number . The number is assumed to be sufficiently large and are as in 2.2. Moreover, we suppose that
[TABLE]
The exact lower bound here is of no particular consequence, as our final results even fall short of being non-trivial for . However, in the course of getting there, we need to have bounds of the shape for any as . Such bounds are used—often tacitly—throughout.
Furthermore, we write
[TABLE]
and define the weight function to be used in conjunction with 3.1 by
[TABLE]
To define , we let
[TABLE]
which by Poisson summation formula implies
[TABLE]
Then let
[TABLE]
with from Eq. 4.2.
6.2. Removing the weights
Our next immediate goal is to see that and are actually suitable weights for the type of argument outlined in 3.2. This is contained in 6.3 below, but first we need two lemmas. We use the notation from Eq. 3.4.
Lemma 6.1**.**
.
Proof.
The claim follows at once from
[TABLE]
after applying the prime number theorem for (see Eq. 2.4). ∎
Lemma 6.2**.**
.
Proof.
We may split up as follows:
[TABLE]
where the terms being summed are
[TABLE]
and
[TABLE]
The first sum is bounded using the trivial estimate .
Now if , then , or and . In the first case, using the inequality
[TABLE]
we have
[TABLE]
where for the last estimate we employ Eq. 6.1. In the second case, the assumptions ensure that . Therefore, by arguing as before, we have
[TABLE]
Thus, altogether we have
[TABLE]
This proves the lemma. ∎
Corollary 6.3**.**
Still assuming the hypotheses from Section 6.1, suppose that one knows that
[TABLE]
where is defined as in Eq. 3.4. Then
[TABLE]
In particular, for any sufficiently large , there is a prime element such that and .
6.3. Estimation of smoothed sums
The next result is a smoothed analogue of 4.2. Later, this is used in combination with 4.4. (The reader may contrast this with our use of 4.3 as the underlying tool for proving 5.4 and 5.2.)
Lemma 6.4**.**
Let and . Then, for every and defined as in Eq. 6.2,
[TABLE]
Proof.
Let be the invertible -matrix and write . Moreover, recall that and let . Then, writing , we have
[TABLE]
By the Poisson summation formula (see, e.g., [18]) and a change of variables,
[TABLE]
Using the fact that is its own Fourier transform, we have
[TABLE]
A quick computation shows that
[TABLE]
Consequently, after a linear change of summation variables,
[TABLE]
where
[TABLE]
As the bound is trivial, we now assume that
[TABLE]
In particular, we have . To bound we split off the term for , namely
[TABLE]
from the rest, that is,
[TABLE]
Using Eq. 6.3, we have
[TABLE]
To bound , we put . By assumption, , so that we either have , or and . In the former case,
[TABLE]
In the latter case, we first note that is an integer (see 4.1 Item 3), so that
[TABLE]
and, hence,
[TABLE]
Recalling that the original sum under consideration, , is , the assertion of the lemma follows. ∎
6.4. Cutting off
Lemma 6.5**.**
Consider the sum
[TABLE]
where and are arbitrary complex coefficients satisfying , , , and means some arbitrary restriction on the summation over . Then, for every ,
[TABLE]
Proof.
Recalling Eq. 5.12, we have
[TABLE]
Consequently,
[TABLE]
The inner-most sum over is bounded by multiplied by
[TABLE]
Thus,
[TABLE]
A short computation shows that
[TABLE]
where . Consequently,
[TABLE]
Hence, we obtain the claimed result from Eq. 6.4 after estimating the contribution from all terms with via the above and using the trivial inequality on the remaining terms. ∎
6.5. Type I estimates
Proposition 6.6** (Type I estimate).**
Consider the sum from 6.5 with for all and
[TABLE]
for some positive . Then
[TABLE]
Proof.
By 6.5 we have
[TABLE]
Therefore, by 6.4,
[TABLE]
Moreover, by the second part of 4.4, we find that no terms with contribute to the above sum if we set
[TABLE]
Then, upon splitting the summation over into dyadic annuli, we obtain
[TABLE]
Finally, using 4.4 and ,
[TABLE]
6.6. Type II estimates
Proposition 6.7** (Type II estimate).**
Consider the sum from 6.5 with
[TABLE]
for some . Then, for any ,
[TABLE]
Proof.
By 6.5 we have
[TABLE]
Upon splitting the summation over into dyadic annuli, we obtain
[TABLE]
By similar arguments as in Section 6.2, we see that one can restrict the summation over to at the cost of an error . Thus,
[TABLE]
where
[TABLE]
We write
[TABLE]
with being suitable complex coefficients satisfying .
Next, we remove the factor by writing the Gaussian as an inverse Mellin transform in the form
[TABLE]
where . This implies
[TABLE]
and hence
[TABLE]
where
[TABLE]
with and . We set . Then and
[TABLE]
for all with and and in the relevant summation ranges.
Now we estimate . In the following we tacitly assume that . By Cauchy’s inequality,
[TABLE]
which implies
[TABLE]
Next, we use the uniform bound () for to extend the summation over , getting
[TABLE]
Upon expanding the square in ,
[TABLE]
The subsum with is . Thus, on writing ,
[TABLE]
where
[TABLE]
By 6.4, it follows that
[TABLE]
By 4.4,
[TABLE]
Combining this with Eq. 6.8 and taking square root, we obtain the estimate
[TABLE]
We may reverse the roles of and and estimate by
[TABLE]
in place of (6.7). Then we can continue in a similar way as above. We arrive at the same estimate as in (6.9) but with replaced by , i.e.
[TABLE]
Using (6.9) if and (6.10) if , and recalling that , we deduce that
[TABLE]
Using (6.6) together with Stirling’s approximation for the Gamma function, the same bound, up to a factor of , holds for . Plugging this into Eq. 6.5, we obtain the assertion of the proposition. ∎
6.7. Conclusion
Proof of 2.1.
We note that
[TABLE]
for all sufficiently large depending on . (Mind though that the first two quantities depend implicitly on by means of the definitions of , , and .) Then, for , choosing and in accordance with 3.1, Propositions 6.6 and 6.7 give
[TABLE]
Upon taking and , we find
[TABLE]
provided that . By using 6.3, the theorem follows. ∎
7. Proof of the weighted version of Harman’s sieve for
Before embarking on the proof of 3.1, we record the following useful lemma:
Lemma 7.1**.**
For any two distinct real numbers and one has
[TABLE]
where the implied constant is absolute.
Proof.
See, for instance, [8, Lemma 2.2]. ∎
Proof of 3.1.
We follow [8] quite closely. We assume that takes the values and and put .
We start by introducing some notation. For each prime ideal of choose a generator and let be the set of all those . For write
[TABLE]
and
[TABLE]
We also need to introduce some -version of the Möbius function: for a non-unit , let be defined as if is the product of precisely non-associate prime elements and otherwise. If is a unit, then put . Then, by inclusion–exclusion, we have
[TABLE]
On writing
[TABLE]
applying Eq. 7.1 for and yields
[TABLE]
By Eq. 3.2 with we infer . Therefore, to prove the theorem, it remains to establish that
[TABLE]
The next step is to arrange into subsums according to the ‘size’ of the prime factors in (where is the summation variable from Eq. 7.3). To have some such notion of size, fix some total order on such that whenever . (Clearly many such orders exist, but the precise choice must not concern us.) Moreover, for , let
[TABLE]
Now take to be any function with whenever and are associates. Then, we may group the terms of the sum
[TABLE]
according to the largest prime factor of (w.r.t. ):
[TABLE]
Evidently, the process giving Eq. 7.5 also works if is replaced by ; for any one has
[TABLE]
Minding the inner most sum on the right hand side above, it is obvious that the above identity can be iterated if so desired. To describe for which sub-sums iteration is beneficial, we let
[TABLE]
and, inductively for ,
[TABLE]
where
[TABLE]
Assuming that vanishes on arguments with , and on applying Eq. 7.5 and Eq. 7.6,
[TABLE]
On iterating this process—always applying Eq. 7.6 to the -part—it transpires that
[TABLE]
for any . Since the product of prime elements has norm , we have
[TABLE]
Hence,
[TABLE]
for (say)
[TABLE]
We apply this to with . Note that, since , we have for all with , as was assumed in the above arguments. Thus,
[TABLE]
where
[TABLE]
Another application of Eq. 7.6 gives
[TABLE]
Given with
[TABLE]
and noting that , we have
[TABLE]
Using this, we find that can be expressed as
[TABLE]
where the coefficients
[TABLE]
are only supported on with . Hence, by Eq. 3.3,
[TABLE]
Moving on to , we expand the definition Eq. 7.2 of , getting
[TABLE]
where
[TABLE]
In order to apply Eq. 3.3, we must disentangle the variables and in the above summation. To this end, split
[TABLE]
to obtain a decomposition
[TABLE]
For we have
[TABLE]
where
[TABLE]
and the sum can be expressed similarly, but needs a little more care: by basic ramification theory, the first summation on the right hand side of Eq. 7.11 contains at most one term and we shall write for the set of for which there is such a term, that is, some with . Furthermore, let denote the set of the ’s just mentioned, i.e.,
[TABLE]
Thus,
[TABLE]
where
[TABLE]
To disentangle -dependent quantities ( and ) from -dependent quantities ( and ) in the above, we employ 7.1. We pick some real number (depending only on ) with such that and for the condition is equivalent to . Then
[TABLE]
Therefore, 7.1 shows that
[TABLE]
for every . Similarly,
[TABLE]
Thus,
[TABLE]
with coefficients
[TABLE]
as well as
[TABLE]
We proceed by gathering some intermediate information before applying Eq. 3.3: in the definition of the coefficients , neither of the summations over and includes associates. Thus,
[TABLE]
For the other coefficients we always have
[TABLE]
yet if and are small, one can (and must) do better: indeed,
[TABLE]
where
[TABLE]
In view of this, we must deal with functions of the shape
[TABLE]
and their integrals
[TABLE]
Lastly, we note that, by 4.1 and Eq. 3.1,
[TABLE]
Collecting what we have gathered so far, we may derive a bound for
[TABLE]
as follows: after applying Eq. 7.14 with and , the -terms are treated directly with Eq. 7.19 and Eq. 7.18, whereas for the rest one may apply Eq. 3.3. Here it is important to use Eq. 7.17 for small respectively first—prior to applying Eq. 3.3—and Eq. 7.18 then bounds the integrals. Therefore, after some computations, we infer
[TABLE]
Of course, the same arguments also apply to ; in view of Eq. 7.13 we have to apply them twice, but in both cases the coefficients corresponding to Eq. 7.15 and Eq. 7.16 obey the same bounds we used to derive Eq. 7.20. Consequently, Eq. 7.20 also holds with in place of . In total, recalling Eq. 7.9, Eq. 7.10 and Eq. 7.12, we have
[TABLE]
and it transpires that choosing suffices to yield a bound . On plugging this into Eq. 7.8 and recalling Eq. 7.7, we infer Eq. 7.4. Hence, the theorem is proved. ∎
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