Large sieve inequalities with power moduli and Waring’s problem
1 Introduction
Let be an integer, let be a positive integer, and let be a sequence of complex numbers. Let be a finite set of real numbers, and let be a positive real number. We write for the distance from a real number to its nearest integer, and we also write . Moreover, we say that the set is -spaced modulo 1 if whenever and are distinct members of . The general large sieve inequality says that if is -spaced modulo 1, then
(1) |
Montgomery wrote a lovely expository article on this result [Mon78].
Let and be positive integers. Then we take the set
(2) |
so that
This paper is about large sieve inequalities with -power moduli. These are inequalities of the form
where is independent of and . We now let be the infimum of such constants so that our large sieve inequalities are just upper bounds on .
In the first paper on these bounds, Zhao observed two bounds that trivially follow from the general large sieve inequality [Zha04]. Firstly, since the set is -spaced modulo 1, we have
(3) |
Secondly, we can apply the general large sieve inequality to the sum over , and then sum over . This gives
(4) |
If , then bound (3) gives . If , then bound (4) gives . Combining these, we have
(5) |
It’s not hard to see that
(6) |
So, in particular, (5) is sharp. If and every other , then we compute that
Therefore
(7) |
If each , for a fixed , then we have
Therefore
(8) |
In the case , bounds (3) and (6) collectively show that . Otherwise, we call
(9) |
the nontrivial range. This is where many authors [Zha04, BZ05, Bai06, BZ08, Hal12, Hal15, Hal18, Hal20, Mun21, BMS22, McG22] beat the trivial bounds and worked toward Zhao’s conjecture that
Baier, Lynch and Zhao showed that the factor of cannot be removed when [BLZ19]. Their method extends to all .
Our method of attacking the nontrivial range is simple, effective and can easily be applied to more general large sieve inequalities with polynomial moduli. We choose to illustrate our method in this restricted setting of -power moduli for three reasons. Firstly, these large sieve inequalities have received a lot of attention, and we achieve savings in substantial ranges for all . Secondly, they have many (actualised and potential) applications, as listed in the introduction to [BMS22]. Lastly, our method relates these large sieve inequalities to Waring’s problem with -powers.
For an introduction to Vinogradov’s mean value theorem and its application to Waring’s problem, look to Vaughan’s book [Vau97, Ch. 5]. In the case , Wooley proved a long standing conjectured bound on Vinogradov mean values [Woo16, Thm. 1.1]. Bourgain, Demeter and Guth were the first to prove the conjectured bound for all [BDG16, Thm. 1.1]. We make use of Wooley’s generalised version [Woo18, Thm. 1.1] of Bourgain, Demeter and Guth’s bound. See [Coo+22] for an interesting comparison between the method of Wooley and that of Bourgain, Demeter and Guth.
2 Results
Let and be positive integers. In light of the introduction, we restrict to the nontrivial range
Let be the number of -tuples of positive integers satisfying . The forthcoming implied constants are independent of . They may depend on or on an arbitrarily small positive real number .
We pass to counting Farey fractions in short intervals in Section 4. This is standard practice. We then lay the foundations of our new method in Section 5, where we also prove the following two lemmata.
Lemma 2.1.
Suppose that, uniformly in positive integers , we have the bound
Then we have
Lemma 2.2.
Suppose that, uniformly in subsets of positive integers , we have the bound
(10) |
Then we have
In Section 6, we recall an elementary divisor bound for . Running this through Lemma 2.1 with recovers Baier and Zhao’s large sieve inequality [BZ05, Thm. 1.1]. We state this large sieve inequality in part (i) of our first theorem.
Also in Section 6, we recall Marmon’s non-elementary bound on [Mar10, Thm. 1.3]. Marc Munsch suggested that we insert this into Lemma 2.1 with so as to recover Baker, Munsch and Shparlinski’s large sieve inequality [BMS22, Thm. 1.4]. We state this large sieve inequality in part (ii) of our first theorem. In fact, we state the inequality for all , while Baker, Munsch and Shparlinski left a void when . McGrath [McG22, Cor. 1.4] filled this void, albeit with a weaker bound than the general formula in would suggest. Our result corrects this, filling the void with the appropriate bound.
Theorem 2.3.
-
(i)
For all , we have the large sieve inequality
-
(ii)
For all , we have the large sieve inequality
Finally, in Section 7, we invoke a recent and high-powered theorem of Wooley [Woo18, Thm. 1.1]. We end up with a family, indexed by positive integers , of mean value estimates of the form (10). Running this through Lemma 2.2 with results in our second theorem.
Theorem 2.4.
For any positive integer , we have the large sieve inequality
(11) |
Remark 2.5.
Write for a real with . Then the right-hand side of (11) becomes
where
We minimise by taking
Incidentally, this choice of makes continuous in .
As we’ll see in the next section, Theorem 2.4 with is particularly powerful.
Corollary 2.6.
We have the large sieve inequality
To discuss a conditional result, we assume that and throughout the rest of this section. Recall the Hardy-Littlewood singular series
Then Hardy and Littlewood proved that whenever is sufficiently large relative to , we have the formula
(12) |
See [Vau97, Ch. 2] for a modern proof of this formula, with and a power saving in the error term. We are often interested in obtaining so that the first term on the right-hand side is not swallowed by the error, thereby making (12) a fully-fledged asymptotic formula. This lower-bound on the singular series can be subtle, as covered in [Vau97, §. 4.5]. Fortunately, for our application, the only bound we need on the singular series is a modest upper-bound. Indeed, we have [Vau97, Thm. 4.3, p. 49]
Therefore, if formula (12) holds, then we have
(13) |
If bound (13) holds, then it follows from Lemma 2.1 that
(14) |
Rewriting this large sieve bound as and recalling that , it’s optimal to choose as small as possible. As luck would have it, this runs with – not against – the difficulty in Waring’s problem! The Hardy-Littlewood asymptotic formula (12) is conjectured to hold with whenever . If this famous conjecture holds, then large sieve bound (14) holds with whenever .
3 Comparison with previous results
Let be positive integers. The forthcoming implied constants are independent of and , but they may depend on or on an arbitrarily small positive real number .
The standard way of comparing bounds is to write for a real parameter . Restricting to the nontrivial range (9), we assume that . It is also customary to introduce clean notation for some functions of that appear in exponents. Put
3.1
In this subsection, we assume that . Here is the list of bounds with which we have to contend:
First trivial (3)
(15) |
Second trivial (4)
(16) |
Zhao [Zha04]
(17) |
Baier and Zhao [BZ05]
(18) |
Halupczok [Hal12, Hal15, Hal18, Hal20]
(19) |
Munsch [Mun21]
(20) |
Baker, Munsch and Shparlinski [BMS22]
(21) |
Corollary 2.6 is our main bound. It is sharper than all of the previous bounds for , where and . As tends to infinity, our main bound tends to improve of the nontrivial range. In particular, when , it already improves more than of the nontrivial range. This percentage is more than when , and it is more than when .
For the remaining range , (18) and (21) are the strongest of the previous bounds. Theorem 2.3 recovers both of these, and the proofs we give are simpler than the previous proofs. Most notably, Marc Munsch observed that we may completely bypass Baker, Munsch and Shparlinski’s route through asymmetric additive energy; they also start with Marmon’s bound on to prove (21).
By applying Theorem 2.4 with smaller values of , we increase the range in which we improve on these two previous bounds. Indeed, Theorem 2.4 with (or even ) beats (18) for . The choice of that maximises our range of improvement on (21) changes with . When , we take to improve on (21) in the range . When , we take to improve on (21) in the range . Finally, when , we take to improve on (21) in the range .
3.2
We have to contest these previous bounds: (15), (16), (17), (18), (19), (20). Indeed, (21) is missing.
Corollary 2.6 beats all of these previous bounds when . Hence it improves on the previous bounds in over of the nontrivial range. Smaller choices of in Theorem 2.4 do not increase our range of improvement. While Theorem 2.3 part (ii) does bring forth (21), it also fails to increase our range of improvement.
3.3
3.4
4 From the large sieve to Farey fractions in short intervals
Let and be positive integers. We also let be an integer, and let be a sequence of complex numbers. The forthcoming implied constants are independent of and . But they may depend on or on an arbitrarily small positive real number . We assume that
Dividing the summation over into dyadic intervals gives
Let be a real number in the interval and write
so that
We want to hit this with the general large sieve inequality (1), leading us to consider the modulo 1 spacing of the set . Let be a positive real number. Note that and that . Then, for every , we have if and only if . Hence, for every , we have
Now observe that there exists a partition of the set into
parts so that each part is -spaced modulo 1. Thus, for any one of these parts , say, the general large sieve inequality (1) gives
This then yields the bound
Putting everything together, we may take
Recall that . Therefore , and so we may take
in the infimum. Hence, with this choice of , we have
(23) |
5 From Farey fractions in short intervals to Waring’s problem
We keep the notation of the previous section. Recall that is a real number in the interval and that we have
Let . Then we write and for the positive integers satisfying
Let be the set of positive integers in the dyadic interval for which there exists an integer satisfying and .
Given any , we write in reduced form like we did for . Then we rewrite the condition as . Therefore defines a function
Since is sufficiently small, this function is injective. To see this, take two fractions with the same reduced denominator . Now observe that . Then we see that , because otherwise we would get the contradictory bound . Hence
(24) |
Now we let be the set of positive integers in the interval for which there exists an integer satisfying
(25) |
Evidently, if , then . This leads us to consider, for each , the number of -tuples satisfying . We have the formula
We proceed in two ways. First, we take the supremum to get
(26) |
Second, we use Cauchy-Schwarz to get
(27) |
Either way, we need a bound on .
To count the number of , we first recall condition (25), from which we see that there are choices for . Then, because , there are choices for . Note that . Thus, for a fixed residue , there are choices for with . Putting these estimates together, we have
(28) |
5.1 Proof of Lemma 2.1
Here we continue with the first way.
5.2 Proof of Lemma 2.2
Here we continue with the second way.
Note that
counts the number of solutions to the equation
(29) |
with each . By orthogonality of exponentials, the integral
also counts the number of solutions to (29).
6 Proof of Theorem 2.3
Let and be positive integers. The following implied constants are independent of , but they may depend on or on an arbitrarily small positive real number .
6.1 Part (i)
In this subsection, we assume that .
From the epsilonic power estimate on the divisor function, we have the bound
(30) |
Proof.
Assuming that is even, we have . So, to finish off this case, we merely apply the classical bound [Gro85, Ch. 2, §. 4].
Assume that is odd, and suppose that and are positive integers satisfying . Recalling the factorisation , we see that divides . Because , we have , and thus also . Computing , we see that divides . Hence, as desired, we have
6.2 Part (ii)
In this subsection, we assume that .
7 Proof of Theorem 2.4
Let and be positive integers. Let be a subset of . The forthcoming implied constants are independent of and , but they may depend on or on an arbitrarily small positive real number .
From Wooley’s recent mean value estimate [Woo18, Thm. 1.1], we get the following family of mean value estimates. For each , we have
(32) |
Proof.
We assume that , and we put . By orthogonality of exponentials, the integral on the left-hand side of (32) counts the number of solutions to the equation
(33) |
with each . We now inflate this equation to a partial Vinogradov system, a standard technique in the context of Waring’s problem. Namely, we consider the system of equations
(34) | ||||
with each . As we explain in Subsection 7.1, when we pass from counting solutions of equation (33) to counting solutions of this partial Vinogradov system (34), we incur an inflationary factor of
The number of solutions to our partial Vinogradov system is equal to
So it suffices to show that this last integral is , for which we apply [Woo18, Thm. 1.1]. ∎
7.1 Explaining the inflationary factor
Here we introduce some quantities that depend on . Crucially, the implied constants are independent of . For each positive integer , let be the set of -tuples satisfying , and let be the number of these. Let
so that defines a function
As per usual, we need to consider the size of the fibres of this function. For each , let be the size of the fibre. Then we have the formula
By Cauchy-Schwarz, we have
Now we use the assumption that to get a bound on . This gives the inflationary factor. Indeed,
So we have
Now we sum over all of the form with . This gives
Finally, we observe what these sums count. The sum on the left-hand side counts the number of solutions to equation (33). The sums on the right-hand side count the number of solutions to our partial Vinogradov system (34).
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Stephan Baier, Department of Mathematics, Ramakrishna Mission Vivekananda Educational Research Institute, G. T. Road, PO Belur Math, Howrah, West Bengal 711202, India
E-mail address: stephanbaier2017@gmail.com
Sean B. Lynch, Department of Pure Mathematics, School of Mathematics and Statistics, UNSW Sydney, Sydney NSW 2052, Australia
E-mail address: s.b.lynch@unsw.edu.au