Small values of Weyl sums
Changhao Chen, Igor E. Shparlinski

TL;DR
This paper investigates the behavior of Weyl sums and generalized Gaussian sums, showing that the set of points where these sums tend to zero is dense, contains a large subset, and has positive Hausdorff dimension.
Contribution
It establishes that the set of points with vanishing Weyl sums is dense, large in Hausdorff dimension, and extends results to generalized Gaussian sums.
Findings
The set of points with Weyl sums tending to zero is dense in [0,1)^d.
This set has a positive Hausdorff dimension.
Similar properties are proven for generalized Gaussian sums.
Abstract
We prove that the set of , such that contains a dense set in and has a positive Hausdorff dimension. Similar statements are also established for the generalised Gaussian sums
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Small values of Weyl sums
Changhao Chen
Department of Pure Mathematics, University of New South Wales, Sydney, NSW 2052, Australia
and
Igor E. Shparlinski
Department of Pure Mathematics, University of New South Wales, Sydney, NSW 2052, Australia
Abstract.
We prove that the set of , such that
[TABLE]
contains a dense set in and has positive Hausdorff dimension. Similar statements are also established for the generalised Gaussian sums
[TABLE]
Key words and phrases:
Weyl sums, Gauss sums, set, Hausdorff dimension
2010 Mathematics Subject Classification:
11J83, 11K38, 11L15
1. Introduction
1.1. Motivation
For an integer , let denote the -dimensional unit torus. For a vector and , we consider the Weyl sums
[TABLE]
where throughout the paper we denote . Since we also consider monomial sums
[TABLE]
it is also convenient to define
[TABLE]
We recall that for the sums are also known as Gaussian sums and we denote
[TABLE]
Obtaining upper bounds on these sums has received a lot attention over the last several decades, most significantly due the the proof of the called main conjecture in the Vinogradov mean value theorem by Bourgain, Demeter and Guth [5] (for ) and Wooley [40] (for ) (see also [41]). In particular, the state of art is conveniently summarised by Bourgain [4, Theorem 5].
On the other hand, the problem of the distribution of values and in particular of lower bounds seems to be less know with just several sporadic results in the literature, mostly related to the case , and those do not seem to be widely known. Motivated by this, we first give a survey of known results about the measure and topological properties of sets of and large sums and and then obtain two new results.
1.2. A survey of results on the distribution of Weyl sums
We first show some known results for the case . The study of the sums and has been initiated by Hardy and Littlewood [23].
First we recall we say that has bounded partial quotients if , where is the continued fraction representation of . Hardy and Littlewood [23] have given the following lower and upper bounds.
Theorem 1.1**.**
(Hardy and Littlewood [23, Theorems 2.22 and 2.25])*
Let be irrational. Then*
- (i)
there exists a constant such that
[TABLE]
for infinitely many ;
- (ii)
if the continued fraction of has bounded partial quotients, then there exist absolute constants such that for any one has
[TABLE]
Furthermore, except for a set of of Lebesgue measure zero, Fiedler, Jurkat and Körner [19, Theorem 2] have obtained the optimal bound for the sums .
We say that some property holds for almost all if it holds for a set of Lebesgue measure .
Theorem 1.2**.**
(Fiedler, Jurkat and Körner [19, Theorem 2])*
Suppose that is a non-decreasing sequence of positive numbers. Then for almost all one has*
[TABLE]
For instead of obtaining the bound of the sums , Jurkat and van Horne [26, 27, 28] studied the sequence of the distribution function
[TABLE]
where is the Lebesgue measure. Among other things Jurkat and van Horne [26, 27, 28] proved that convergences to a limiting distribution (the limit is not normal distribution).
Marklof [35] has studied the asymptotic behaviour of the sums
[TABLE]
in the complex plane as for all .
We remark that the methods of Jurkat and van Horne [26, 27, 28] are mainly based on the circle method, Diophantine approximations, and bounds of Kloosterman sums, while the approach of Marklof [35] stems from the theory of dynamical systems.
For quadratic Weyl sums, a generalisation of Theorem 1.2 is given by Fedotov and Klopp [18, Theorem 0.2]). Furthermore, Fedotov and Klopp [18] have given a similar result for the sums , however adding the term leads to more cancellations in the sums .
Theorem 1.3**.**
(Fedotov and Klopp [18, Theorem 0.1])*
Suppose that is a non-decreasing sequence of positive numbers. Then for almost all one has*
[TABLE]
For the case , the authors in [10, Appendix A], and [11, Theorem 2.1] have shown in two different ways that for almost all one has
[TABLE]
It is natural to conjecture that the bound (1.1) is close to the best possible up to the term, see also [10, Conjecture 1.1]. We remark that the conjecture is still open for the case .
Observe that we may consider the sums , , as a sequence of points in the complex plane . Before giving some results in this direction we show some notation first.
We now need to recall some standard definitions.
Definition 1.4**.**
We sat that a set of a topological space is a -set if it is a countable intersection of open sets.
We could say that a dense set is a “large” set in the sense of topology. We remark that the set is closely related to Baire categories, see [37, Section 9] for more details.
Given define
[TABLE]
For a real the notation we use to denote the distance to the closest integers.
Using an approach which stems from the theory of dynamical systems and considering the Weyl sums as a cocycle on , Forrest [20] have obtained the following result.
Theorem 1.5**.**
(Forrest [20, Theorem 2])*
If is irrational and*
[TABLE]
then contains a dense set in .
There are serval interesting generations of Theorem 1.5.
Theorem 1.6**.**
(Forrest [21, Theorem 1.3])* Suppose that is irrational and has continued fraction representation such that , and suppose that*
[TABLE]
for some . Then is of full Lebesgue measure in .
We remark that Fayad [17] and Greschonig, Nerurkar and Volný [22] studied the ergodic property of the dynamical system which was introduced by Forrest [20, 21] (for the purpose of studying the distribution of Weyl sums). We refer to [17, 22] for more details and reference therein.
We remark that the following conjecture of Forrest [20] is still open.
Conjecture 1.7**.**
(Forrest [20])*
Theorem 1.5 is true for every irrational with .*
Forrest [20] also considered the sequence for the case . In analogy of Theorem 1.5, Forrest [20] showed the following.
Theorem 1.8**.**
(Forrest [20, Theorem 10])* Suppose that and is irrational such that*
[TABLE]
then for a dense set of , the sequence of partial sums
[TABLE]
is dense in .
With the weaker condition for the leading term , Forrest [20] gives the following result.
Theorem 1.9**.**
(Forrest [20, Proposition 13])*
Suppose that and is irrational such that*
[TABLE]
then for a dense set of the partial sums
[TABLE]
is dense at [math] in .
One may also conjecture that for almost all the sequence is dense in , see Conjecture 4.1 below.
1.3. Main results
We now show that there are many very small quadratic Weyl sums and monomial sums for arbitrary degree. More precisely we define the “zero sets” of Weyl sums and monomial sums as
[TABLE]
and
[TABLE]
We now show that and are quite massive.
Theorem 1.10**.**
For any integer , the sets and contain dense sets in and , respectively.
We remark that the claim of Theorem 1.10 for can perhaps be derived from Theorem 1.9, however we prove it via a completely different method, which also applies to and perhaps to some other similar sets.
Note that if contain dense sets, then their intersection also contains a dense set.
We remark that the proof of [10, Theorem 1.3] implies that for any integer the set contains a dense set, where
[TABLE]
Meanwhile, the proof of [10, Theorem 1.6] implies that the similar statement also holds for the monomial sums with any integer . Therefore for integer , we conclude that there are dense sets of and with
[TABLE]
and for any
[TABLE]
respectively.
It is natural to ask about the Lebesgue measure and the Hausdorff dimensions of the sets and .
Definition 1.11** (Hausdorff dimension).**
The Hausdorff dimension of a set is defined as
[TABLE]
For the properties of the Hausdorff dimension and its applications we refer to [16, 36].
We now give lower bounds on the Hausdorff dimensions of and .
Theorem 1.12**.**
For any integer , we have
[TABLE]
The above lower bounds on the Hausdorff dimension are perhaps far from the truth but we do not know how to improve them.
1.4. Outline of the method
We first show that the quadratic Weyl sums and monomial sums take small values at some rational points and thus in their neighbourhood. Secondly, we apply some results and tools from metric number theory to show that the neighbourhoods of these rational points are large sets in the sense of topology and Hausdorff dimension.
We conclude this paper with a brief outline of some further directions of research and some additional ideas which may lead to improvements of our results. In particular, we formulate several conjectures on the behaviour of Weyl sums.
2. Exponential sums
2.1. Notation and conventions
As usual, the notations , and are equivalent to for some positive constant . Throughout the paper, all implied constants are absolute.
The letter always denotes a prime number.
2.2. Complete and incomplete Gaussian sums
For a prime , let denote the finite field of elements, which we identify with the set . Furthermore, let
[TABLE]
We also need the following bound for the incomplete Gaussian sums, see [29].
Lemma 2.1**.**
For each prime and integer we have
[TABLE]
From Lemma 2.1 we immediately derive the following.
Lemma 2.2**.**
For any prime and any with we have
[TABLE]
We emphasise that the implied constant in Lemma 2.2 is absolute.
We now recall that the Gaussian sum modulo or exhibit very different behaviour and sometimes vanish.
Lemma 2.3**.**
Let and .
- (i)
If then
[TABLE]
- (ii)
If then
[TABLE]
Proof.
Part (i) is well known and follows instantly from the explicit formula for Gauss sums, see [25, Theorem 3.4].
For Part (ii), we note
[TABLE]
since for an odd we have . The result now follows. \sqcap$$\sqcup
2.3. Monomial sums
Here we always assume that . We have the following analogues of Lemma 2.3, which follows from the trivial observation that the map is a permutation of provided that .
Lemma 2.4**.**
Let an integer and a prime be such that . Then for any integer with one has
[TABLE]
Using the Weil bound together with the standard completion technique, see [25, Sections 11.11 and 12.2] we also immediately obtain:
Lemma 2.5**.**
For any prime and any we have
[TABLE]
We again emphasise that the implied constant in Lemma 2.5 is absolute.
2.4. Continuity of Weyl sums
We present our next result in a much more general form than we need for purpose, but we believe in this generality it may have other applications.
Lemma 2.6**.**
Let integer and a vector be such that for any we have
[TABLE]
for some real non-negative , and . Then for any positive and with
[TABLE]
we have
[TABLE]
where the implied constant is absolute.
Proof.
Let , . For each we have
[TABLE]
It follows that
[TABLE]
For each we now turn to the estimate
[TABLE]
where . Applying partial sum formula we derive
[TABLE]
where
[TABLE]
By our assumption, we obtain
[TABLE]
and also, observing that the sequence is monotonically non-decreasing, we have
[TABLE]
We now derive
[TABLE]
We see from (2.2) and (2.3) that
[TABLE]
which together with (2.1) yields the desired bound. \sqcap$$\sqcup
For the convenience of our applications we formulate several specialisations of Lemma 2.6 with different choices of .
For example, with we obtain the following result on approximations to rational sums.
Corollary 2.7**.**
Let integer and integer . Let integer and
[TABLE]
be such that for any we have
[TABLE]
for some real non-negative . Then for any and with
[TABLE]
we have
[TABLE]
where the implied constant is absolute.
If and for some integers and with , then by Lemma 2.2 we can take in Lemma 2.6.
3. Proofs of results on small sums
3.1. Proof of Theorem 1.10
We first show the sets and (with ) are dense sets. We introduce some notation. For let
[TABLE]
Furthermore, let
[TABLE]
and
[TABLE]
For the -neighbourhood of is defined as
[TABLE]
Clearly for any the functions , and are continuous function with respect to the variables and . Thus, applying Lemmas 2.3 and 2.4, we derive that for any and there exists such that
- •
for any we have ;
- •
for and any we have ;
- •
for , and any we have .
Using these notation and (3.1), we set
[TABLE]
and also for
[TABLE]
Observe that
[TABLE]
and for any the set
[TABLE]
are dense open sets, which finishes the proof for the sets and (with ).
We now turn to the claim that the set with is a dense set in . This is essentially contained in [10, Remark 2.8], for the completeness we present the complete argument to here.
For and a prime number with , the map: permutes . Hence, for any we have
[TABLE]
It follows that for any we have
[TABLE]
We call the set a discrete box with the side length if
[TABLE]
where the set is a set of consecutive integers, (reduced modulo if ) for each .
Assuming we see that
[TABLE]
By [10, Lemma 2.5] for any discrete box with side length for some constant there exists such that
[TABLE]
Combining with (3.2) we deduce that for any box with side length larger than there exists a point . Combining with the well known fact that there are infinitely many primes such that (for instance this follows by applying Dirichlet’s theorem on arithmetic progressions), we conclude that for any the set
[TABLE]
is a dense subset of . By using the continuity of the function and applying the similar arguments as for the sets and (with ), we obtain the result.
3.2. Proof of Theorem 1.12
We first note that the lower bound for with follows from the fact that
[TABLE]
and the monotonicity of the Hausdorff dimension
[TABLE]
Furthermore directly from the definition of the Hausdorff dimension, we see that
[TABLE]
Thus in the following we only show the lower bounds on the Hausdorff dimension of the sets and . Our method is a modification of the argument as in the proof of Theorem 1.10 for the sets and (with ).
In analogy of Lemma 2.2 we have the following. Using the completion techniques, see [25, Section 12.2], similarly to Lemma 2.5 we immediately obtain that or each prime and with we have
[TABLE]
We remark that perhaps one can also remove from the bound (3.3) and have a full analogue of Lemma 2.2, but this does not affect our final result.
Let be the collection of point that there are infinitely many and such that and
[TABLE]
For these by applying (3.3) and Corollary 2.7 with and , we deduce that
[TABLE]
By Lemma 2.3 (ii) we have
[TABLE]
and hence
[TABLE]
For Gaussian sums let and . Then by [29] we have
[TABLE]
Let be the collection of point such that there are infinitely many and with and
[TABLE]
For this and by (3.6) and Corollary 2.7 with and , we obtain
[TABLE]
By Lemma 2.3 (i) we have
[TABLE]
and hence
[TABLE]
Now we turn to the monomial sums for . Let be the collection of point such that there are infinitely many and with and
[TABLE]
For this and , using Lemma 2.5 and Corollary 2.7 with , and , we derive that
[TABLE]
Combining with Lemma 2.4 we have
[TABLE]
and hence
[TABLE]
On the other hand, it follows essentially from the Jarník–Besicovitch theorem [2, Section 6] we obtain
[TABLE]
and also for
[TABLE]
Combining with (3.5), (3.7) and (3.8) and using the monotonicity of the Hausdorff dimension we derive the result. We omit the details here, but refer to [16, Theorem 10.3] and [10] for the closely related arguments.
We remark that we need the prime number theorem for the lower bounds of , see [16, Theorem 10.3] for details (and also [10]). Similarly, for the lower bounds of we need the prime number theorem for arithmetic progressions in a very week form that for all large enough one has
[TABLE]
4. Further results, open problems and conjectures
4.1. An approach to improve the lower bound for
We use the notation from the proof of Theorem 1.12. For the “box condition” (3.4) can be extended to the below “rectangle condition” given by (4.1) below. To be precise, let be the collection of point that there are infinitely many and such that and
[TABLE]
Clearly we have
[TABLE]
Moreover for by applying (3.3) and Corollary 2.7 with
[TABLE]
we deduce that
[TABLE]
By Lemma 2.3 (ii) we have
[TABLE]
and hence
[TABLE]
Thus we have a larger subset of , however we do not know how to deal with the Hausdorff dimension of .
Furthermore for with we conjecture that one could improve the Hausdorff dimension of the set by taking a direct way instead of the arguments at beginning of the proof of Theorem 1.12.
We remark that the results and techniques of [6, 7] can shed some light on improving Lemma 2.6 and similar “continuity properties” of Weyl sums, and thus may lead improvement to improvements of the bound of Theorem 1.12 on the dimension of .
4.2. The topology of Weyl sums
For we define the orbit of as
[TABLE]
We remark that our interest to orbits is partially motivated by classical works of Lehmer [32], Loxton [33, 34] and Forrest [20, 21], as well as by more recent results of Cellarosi and Marklof [8], Fayad [17], Greschonig, Nerurkar and Volný [22]. In the discrete settings, that is, for rational exponential sum, similar questions have been considered by Demirci Akarsu [12, 13], Demirci Akarsu and Marklof [14], Kowalski and Sawin [30, 31], Ricotta and Royer [38], Ricotta, Royer and the second author [39].
From (1.2) and (1.3) we obtain that there is a dense set of such that the zero of is a accumulation point of , and the set is unbounded (alternatively, we can say that the infinity is an accumulation point of the set ).
Modelling the sums by the sums of independent and uniform distributed random complex vectors from the unit circle, it is natural to make the following:
Conjecture 4.1**.**
For almost all in the sense of Lebesgue measure the orbit is everywhere dense in .
We remark that for some point the set is not dense in . For instance, Theorem 1.1 (ii) implies that if the continued fraction of has bounded partial quotients then for any the set is not a dense subset of .
We show two more examples in the following that the set have a biased distribution. From Lemma 2.3 (ii) and (3.3) for any integer with and any we obtain
[TABLE]
It follows that the set is bounded.
Now we turn to another example. From Lemma 2.2 for any and any we have
[TABLE]
Since is a constant, we deduce that the infinity of is the only accumulation point of the set . Moreover the set is contained in some tube of with width nearly , that is, recalling the definition of at (3.1),
[TABLE]
where is some line of and is some absolute positive constant.
4.3. Restricted Weyl sums
For an integer and a real we denote
[TABLE]
From (1.1) we deduce that for any one has , where is the -dimensional Lebesgue measure.
Note that Theorem 1.3 implies that .
Motivated from the works on Diophantine approximation on manifold, see [1, 3, 24] and references therein, we consider the following very general question. We remark that the below set can be some fractal set.
Question 4.2**.**
For a given set equipped with some measure what can we say about
[TABLE]
provided has some natural geometric, algebraic or combinatorial structure?
For the following special case when is a parabola, we make:
Conjecture 4.3** (Dimension).**
Let then
[TABLE]
Conjecture 4.4** (Measure).**
Let and let be the natural probability measure on . Then one has .
It is also natural to ask similar questions about the intersection with the moment curve, that is,
[TABLE]
4.4. Random Cantor sets
Now we turn to the case where is some random fractal set. We consider and a simpler model of random Cantor sets to show our ideas. We start by informal description of the model, see [16, Chapter 15] for more related constructions (see also [9] for the detailed construction and reference therein).
We remark that many other random fractals are also called random Cantor sets.
We apply the following iterative procedure:
- •
We divide the unit square into four equal interior disjoint closed squares in a natural way such that each of these four squares has side length , We choose uniformly at random remove one square, and let be the collection of the three remaining squares.
- •
For each of the remaining squares, we apply the same procedure and obtain a collection of nine squares.
- •
We continue inductively in the same manner by dividing each square into four squares and then uniformly and independently at randomly remove one, getting a collection of squares.
Clearly, each square in has the side length .
Definition 4.5** (Random Cantor set).**
A random Cantor set is
[TABLE]
Let be our probability space which consists of all the possible outcomes of these random limit sets.
Now for each random Cantor set we associate a natural measure on . The desired measure should give each squares of the same mass, which is . To be precise, let be a realization. For each define the measure
[TABLE]
where is the indicator function of the set . Note that for every square of we have
[TABLE]
Note that the sequence of the measure weakly convergence to a measure , see [36, Chapter 1]. We call this measure the natural measure on .
For our application, we need the following Lemma 4.6, suggested by Pablo Shmerkin (private communication). For completeness we present the complete proof here. In the following we use to denote the -dimensional Lebesgue measure.
Lemma 4.6**.**
Let with then almost surely (for ) we have .
Proof.
We use and as the notation of expectation and probability, respectively.
Let , then there is an open set with . Applying Fubini’s theorem, see [36, Theorem 1.14], we obtain
[TABLE]
The last identity holds by using the fact that for all (with an exceptional set with zero Lebesgue measure, except some grid line) one has
[TABLE]
Moreover by [36, Theorem 1.24] we have
[TABLE]
Putting all together and applying Fatou’s lemma [15, Theorem 1.17], we derive
[TABLE]
By the arbitrary choice of we finish the proof. \sqcap$$\sqcup
Combining Lemma 4.6 with Theorem 1.3 we obtain
Corollary 4.7**.**
Almost surely for and for -almost all we have
[TABLE]
We remark that Lemma 4.6 indeed holds for a variety families of random fractals, and hence the Corollary 4.7 also follows immediately.
Acknowledgement
We would like to thank Jens Marklof for informing us on some bounds of quadratic Weyl sums and also application of a dynamical system approach to the distribution of quadratic Weyl sums. We are grateful to Dzmitry Badziahin and Mumtaz Hussain for helpful discussions and some additional references. We also thank Pablo Shmerkin for the idea of Lemma 4.6.
This work was supported by ARC Grant DP170100786.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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