Bounds for Lacunary maximal functions given by Birch--Magyar averages
Brian Cook, Kevin Hughes

TL;DR
This paper investigates lacunary discrete maximal functions associated with hypersurfaces from Diophantine equations, providing new bounds and contrasting positive and negative results in the context of harmonic analysis.
Contribution
It introduces improved bounds for lacunary maximal functions and develops new techniques for analyzing main terms near , advancing understanding of these operators.
Findings
Positive bounds for lacunary maximal functions are improved.
Negative results highlight differences from nonsingular hypersurface cases.
A new bound on main terms near is established.
Abstract
We obtain positive and negative results concerning lacunary discrete maximal operators defined by dilations of sufficiently nonsingular hypersurfaces arising from Diophantine equations in many variables. Our negative results show that this problem differs substantially from that of lacunary discrete maximal operators defined along a nonsingular hypersurface. Our positive results are improvements over bounds for the corresponding full maximal functions which were initially studied by Magyar. In order to obtain positive results, we use an interpolation technique of the second author to reduce problem to a maximal function of main terms. The main terms take the shape of those introduced in work of the first author, which is a more localized version of the main terms that appear in work of Magyar. The main ingredient of this paper is a new bound on the main terms near . For our…
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Bounds for Lacunary maximal functions given by Birch–Magyar averages
Brian Cook
School of Mathematics
Kent State University
USA
and
Kevin Hughes
School of Mathematics
The University of Bristol
Howard House
Queens Avenue
Bristol, BS8 1TW
UK
and the Heilbronn Institute for Mathematical Research, Bristol, UK
Abstract.
We obtain positive and negative results concerning lacunary discrete maximal operators defined by dilations of sufficiently nonsingular hypersurfaces arising from Diophantine equations in many variables. Our negative results show that this problem differs substantially from that of lacunary discrete maximal operators defined along a nonsingular hypersurface. Our positive results are improvements over bounds for the corresponding full maximal functions which were initially studied by Magyar.
In order to obtain positive results, we use an interpolation technique of the second author to reduce problem to a maximal function of main terms. The main terms take the shape of those introduced in work of the first author, which is a more localized version of the main terms that appear in work of Magyar. The main ingredient of this paper is a new bound on the main terms near . For our negative results we generalize an argument of Zienkiewicz.
1. Introduction
1.1. Background
The discrete spherical averages are defined for a function on the integer lattice as
[TABLE]
where and . Magyar [Mag97] and Magyar, Stein, and Wainger [MSW02] considered the question of -boundedness of the discrete spherical maximal operators
[TABLE]
A complete result on this is given in the latter work with a subsequent restricted weak-type endpoint result given by [Ion04].
Theorem A (****[MSW02]).
The operator is bounded on if and only if and .
While this result cannot be improved, several interesting, related problems - concerning scenarios where the definition (1) is modified in some way - remain open. One difficult problem concerns the case when where the supremum taken only over odd integers ; see [Mag07, Hug12, Hug18] for more information. The focus of this paper is on another problem which asks for the correct range of -boundedness for maximal operators obtained from restricting the supremum in (1) to a fixed subsequence. To be precise, given a subsequence , we are interested in the discrete spherical maximal function over defined as
[TABLE]
The motivation for these operators lies in Euclidean harmonic analysis where they have been extensively studied. In particular, a result of Calderón [Cal79], and independently of Coifman–Weiss [CW78], states that the maximal function of Euclidean spherical averages over a lacunary subsequence of is bounded on for all when . Recall that a sequence is lacunary if there is a constant such that for all . This is an improvement over the boundedness of Stein’s full spherical maximal function which is bounded on precisely in the range and ; see [Ste76, Bou86]. The main conjecture in this Euclidean setting is that the lacunary spherical maximal function is weak-type (1,1). This conjecture remains open despite much interest. For instance, see [Chr88, STW03, CK17].
In analogy with these Euclidean harmonic analysis results, we expect that a discrete spherical maximal function over a lacunary subsequence is bounded on a larger range of subspaces than the range of the full maximal function given by Theorem A. Naively, one would expect that is bounded on for all . However, Zienkiewicz showed that this may fail. Initially unaware of these limitations, the authors showed that may indeed be bounded on a larger range of spaces for certain types of lacunary subsequences; see [Hug14, Cook19b] for more detail. Combining ideas from the authors’ works, [KLM18] recently obtained a result which only requires to be lacunary. In particular [KLM18] showed that for each lacunary sequence the lacunary discrete spherical maximal function lacunary, is bounded on for and .
The discrete spherical maximal function and its restriction to subsequences lie in a more general context introduced by Magyar. In [Mag02] Magyar extended Theorem A of Magyar–Stein–Wainger to sufficiently nice positive definite hypersurfaces; we will describe precisely what we mean below. Magyar only recorded the boundedness of the associated maximal functions. However his methods allow one to obtain boundedness for a range of slightly below . Unfortunately, determining the sharp range of boundedness in the range of or is far too difficult a problem with current methods. To convey its difficulty note that one first requires a complete resolution of Waring’s problem. Instead, the goal of the current work is to obtain a general result for lacunary discrete maximal functions associated to Diophantine equations in many variables. A particular case of our main result yields a distinct proof of the result in [KLM18].
Remark 1*.*
The above problems and results - as well as those below - concern averages transverse to a given hypersurface, and differ substantially from the indefinite case where one averages along a fixed hypersurface, e.g. Bourgain’s averages along the squares in [Bou88, Bou89]. In the indefinite case, the full maximal function along the hypersurface is equivalent - up to a factor of a power of 2 - to the maximal function along the dyadic sequence for along the hypersurface. For instance, the second author [Cook19a] previously obtained boundedness of the corresponding lacunary maximal functions for all .
The endpoint behavior at is subtle in all of these problems. In some instances, see [UZ07, Chr11, Mir15], the weak-type (1,1) estimate holds while in other cases, see [BM10, LaV11], the weak-type (1,1) estimate fails. We will see below that the behavior of the maximal functions considered here (which are given by transverse dilations of a hypersurface) possess significantly more subtle phenomena than that of maximal operators defined along a hypersurface.
1.2. The main results
Our results lie in the Magyar’s framework in [Mag02] which generalized Theorem A to averages over more general families of surfaces given by Diophantine equations in many variables. We describe this framework before stating our results.
Let be a homogeneous integral polynomial (i.e., an integral form) of degree in variables and define the Birch rank of , denoted , to be the co-dimension of the complex singular locus of . For a given test function with we define the counting function
[TABLE]
From [Bir61] we have that
[TABLE]
on the condition . An integral form satisfying this rank condition, together with the condition that has a nonsingular solution on the support of a given test function , is said to be -. If is -regular for a given , as is shown in [Mag02], there is an infinite arithmetic progression of regular values such that has
[TABLE]
The precise set of regular values is actually independent of (up to the first few terms possibly), although the lower bound here depends on the existence of a nonsingular solution. Henceforth, for a -regular form , let denote such an infinite arithmetic progression.
For we define the averages
[TABLE]
These averages appear more general than the averages considered in [Mag02], but the methods in [Mag02] extend to include these averages. Our reason for including the cutoff is that we wish to include cases where the surface in given by the equation is not compact.
For the full maximal function
[TABLE]
over the variety we have the following result due to Magyar.
Theorem B (****[Mag02]).
Let be a -regular integral form of degree with a sequence of regular values . If is defined as above then we have
[TABLE]
The correct exponent for -boundedness in this result remains open. Considering the maximal function of a delta function in shows that the bound on the exponent in Theorem A is sharp. Moreover, the same example shows that is unbounded on for . Most likely, is the sharp range of boundedness for sufficiently large with respect to the degree of the form . As noted in [Hug18], and independently by the first author, the range of boundedness in Theorem B extends slightly to below , but nowhere near to the critical exponent of . Substantial improvements to the range of boundedness for remain intractable at this time due to the present limitations of the circle method. Instead we are interested in bounds for lacunary maximal operators
[TABLE]
where is a lacunary subsequence of .
For an integral polynomial in variables we define the normalized Weyl sums
[TABLE]
where and . Here we introduce the notations , , and (with the understanding that , allowing the notation to keep track of any major arc around [math]). For the statement of our main result we need the quantity
[TABLE]
An important property of being regular is that it forces the bound ; this is necessary in our approach. In Corollary 2 of [Mag02] Magyar proves that for . We make this assumption on the degree and dimension implicitly throughout. This bound is not sharp in general; for instance, one may improve it significantly when is a diagonal form.
Using the approach in [Hug17] one may prove that for any lacunary subsequence of , the lacunary maximal function is bounded on for . This improves upon the range implicit in [Mag02]. In this work we obtain the following further improvement. (Note that precisely when .)
Theorem 1**.**
Let be a -regular integral form of degree with a sequence of regular values. If is a lacunary sequence, then the maximal operators are bounded on for and the dimension is sufficiently large.
In tandem with Theorem 1, we generalize Zienkiewicz’s probabilistic construction for spheres in [Zie14] to show that there exists lacunary sequences for which is unbounded near .
Theorem 2**.**
Let be a -regular integral form of degree with a sequence of regular values. If , then there exists a lacunary sequence of such that is unbounded on .
To give the reader a explicit sense of the range in Theorem 1 we consider a few specific examples and compare this result to previous results and conjectures.
- •
Spheres: When , , we can choose any test function which is identically one on the unit sphere in to recover the spherical averages . The exponential sum in question is an -fold product of one dimensional Gauss sums, giving that . In turn, we have -boundedness of the maximal functions along a lacunary sequence for recovering the result in [KLM18]. Moreover, our result gives the same range of whenever is a positive definite integral quadratic form since remains the same for such quadratic forms; see [HH:quadratic] for a proof of these bounds.
- •
-Spheres: Let for an , where is sufficiently large in terms of . If is even, then the obvious choice for is a test function which is identically one on the unit surface in . If is odd, then we choose so that the restriction its support is contained in the positive orthant. Alternatively, one can also work with the expressions and choose identically one on the surface given by . In either case, a result of [Ste77] gives which yields boundedness for when . See [ACHK18] for the precise range of we may obtain here. The exponent is smaller than the exponent for which the full maximal operator is unbounded.
- •
Birch–Magyar forms: For a general regular form of degree , assuming that is -regular, Theorem 1 gives the bound
[TABLE]
from the estimates in ([Bir61], Lemma 5.4). Even in the nonsingular cases where this fails to reach the exponent . However, this represents an improvement over currently available bounds for the full maximal operator .
In all of the above cases, the exponents are larger than so that Theorem 1 does not conflict with Theorem 2. Furthermore, Theorem 2 does not say that every lacunary sequence is unbounded on for . In fact the first author in [Cook19b, Cook19a] showed that there exists lacunary sequences for which is bounded on for all and when . Surprisingly, the second author has formulated a precise conjecture regarding the boundedness when ; see the forthcoming work [HWZ].
With the above results and examples in mind, we make the following two conjectures.
Conjecture 1**.**
Let be a -regular integral form of degree with a sequence of regular values. The maximal operator is bounded on for when the dimension is sufficiently large with respect to the degree .
Conjecture 2**.**
Let be a -regular integral form of degree with a sequence of regular values. If is a lacunary sequence, then the maximal operators are bounded on for when the dimension is sufficiently large with respect to the degree .
1.3. Notation
- •
We will write if there exists a constant independent of all under consideration (e.g. in or in ) such that
[TABLE]
Furthermore, we will write if while we will write if and
- •
Subscripts in the above notations will denote parameters, such as the dimension or degree of a form , on which the implicit constants may depend.
- •
denotes the -dimensional torus identified with the unit cube .
- •
denotes convolution on a group such as , or . It will be clear from context as to which group the convolution takes place.
- •
will denote the character for , or .
- •
For a function , its -Fourier transform will be denoted for . For a function , its -Fourier transform will be denoted for .
- •
The inverse Fourier transform on will be denoted by .
- •
denotes the Möbius function.
- •
For , set .
Acknowledgements
The authors thank Stephen Wainger for discussions on this problem, and for his encouragement in pursuing it. This collaboration was supported by funding from the Heilbronn Institute for Mathematical Research.
2. Reduction to the maximal function of the main term
Here we give an outline of the argument for Theorem 1. The main approach is in line with the argument in [MSW02] which goes as follows.
- (1)
Find a suitable approximation of the surface measures by Fourier multipliers yielding main terms and an error term. Each Fourier multiplier corresponds to a distinct convolution operator with an associated maximal operator. 2. (2)
Deduce -boundedness for the maximal operators that arise from the main terms by transference from a Euclidean maximal function inequality. 3. (3)
Use a partial result (such as the main result of [Mag97]) to show that the maximal operator arising from the error term is bounded on the appropriate spaces.
Lacunary maximal functions allow for greater flexibility in Step 3 which gives us more freedom in choosing the form of our main terms in the approximation of Step 1.
To proceed, fix a -regular integral form and a lacunary sequence inside a sequence of regular values of the form for the remainder of the paper. The dependence on , , and is suppressed from the notation. Our starting point is to find a suitable approximation to the Fourier multipliers
[TABLE]
of the shape . However, we first state our interpolation inequality which reveals what we need from , and hence .
Lemma 1**.**
Suppose that each multiplier decomposes into terms and for each . Define the convolution operator
[TABLE]
and the maximal operator
[TABLE]
Assume that there exists some such that
[TABLE]
uniformly for all . If is bounded on for some , then is bounded on for all .
Remark 2*.*
We will use a similar statement over which follows by an analogous proof.
Proof.
Let and be as in the statement of the Lemma. Write for the convolution operators rescpectivly associated to the multipliers . Recall that denotes the discrete interval . Also let denote the exponent of the lemma; that is, the exponent for which is bounded. Since , we have
[TABLE]
for each and all . Take . Since we have assumed that the maximal operator is bounded on , it suffices to show that the maximal operator is bounded on for .
There exists a constant depending on such that for each we have since is a lacunary sequence. This implies that
[TABLE]
Therefore, it suffices to show that
[TABLE]
for some depending on . The hypothesis is equivalent to . By interpolation, it now suffices to show that uniformly for .
Young’s inequality implies that for all since each of the averages is given by convolution with a probability measure. Since is bounded on , we have
[TABLE]
Therefore,
[TABLE]
as desired. ∎
In our method, the following form of the main term is useful. Define the Fourier multipliers on as
[TABLE]
for all . Here, the function is a fixed smooth, non-negative function supported on the interval which is identically one on , and the measure is defined by
[TABLE]
where the Euclidean surface measure on the Euclidean surface . Section 6 of [Bir61] shows that the density is well behaved and that assuming the existence of a nonsingular solution in the support of gives that .
The particular shape (4) of the main term is from [Cook19b]; see also [Cook19a]. This main term relates to the decomposition used in [Mag02], but more closely resembles the main terms of [Bou89]. Our main term has the advantage of being very localized near rational points . Note that for each , the multipliers are disjoint as varies over . While this is important in [MSW02], it is more important for us that the factor of is the same for all .
For each we define
[TABLE]
Our main term in the approximation is then
[TABLE]
Lemma 5 in [Cook19b] yields the following -approximation for our averages.
Lemma 2** (-approximation).**
There exists a depending on such that
[TABLE]
Applying Lemma 1 and Lemma 2, it remains to show that the operator is bounded on for ; that is, when satisfies the bound in Theorem 1. To accomplish this task, we will obtain bounds near and bounds on for each of the maximal operators with which to interpolate and sum up. This is the dominant approach for essentially all problems of this type (continuous or discrete).
More precisely, we will use the following bound.
Lemma 3** (See [Mag02]).**
Uniformly for , we have
[TABLE]
for all (as defined in (3)).
This is proved in [Mag02]. Our main contribution is to give a new estimate of the following form.
Theorem 3**.**
For each , we have
[TABLE]
for all .
To prove Theorem 1, one interpolates the bounds from Lemma 3 and Theorem 3 and sums over to deduce the desired range of . We carry this out momentarily after describing how we prove Theorem 3.
In order to prove the latter estimates near , we use a Möbius inversion argument in Section 3 to give a suitable rearrangement of the terms as a divisor sum of complete exponential sum analogues of the . After summing over we end up with a manageable expression for the multipliers . The use of the complete sum analogues dates back to Bourgain [Bou89], and in the current context these are considered in [Cook19b].
The presence of the characters in (4) introduces several difficulties in comparison with [Cook19a]. In Section 4 we deal with these issues by comparison with a certain Euclidean maximal function result. The Euclidean maximal function is bounded in Section 5 and is based on a result in [DR86]. The results of Section 5 only treat the maximal averages along suitable tails of , and thus the results of Section 4 do as well. As we shall see, what constitutes ‘the tail’ is reasonable. And, thanks to the lacunary condition, this allows us to treat the maximal averages along the entire lacunary sequence in order to conclude the proof of Theorem 1 in the ultimate section.
Proof of Theorem 1.
Since the full maximal function is bounded on , it suffices to consider only . We have the maximal operator corresponding to the multipliers and the maximal operators corresponding to the multipliers . The triangle inequality implies that
[TABLE]
so it suffices to show the bound
[TABLE]
for some depending on when and all sufficiently small .
Select close to 1. Choose an sufficiently small and select such that . Interpolating the bound on from Lemma 1 with the bound from Theorem 3 we find that
[TABLE]
for all sufficiently small where with defined by the equation . We see that is positive precisely when . This is equivalent to . This in turn occurs precisely when
[TABLE]
In other words, we require . Taking towards 1 we are allowed all such that , as claimed. ∎
3. Completing the main terms by Möbius inversion
We use the approximations to the multipliers as defined above. However, the point of this section is to rearrange the functions in terms of the completed multipliers , which are defined as
[TABLE]
This is done by an application of Möbius inversion, giving a divisor sum which leads us to the constants
[TABLE]
with the Möbius function. By ‘completed’ we are referring to the sum over in which is over the complete residue class as opposed to in .
These constants are bounded in terms of simple functions of and :
[TABLE]
To see this note that the bound on follows as
[TABLE]
To carry out the Möbius inversion argument we need to consider a slightly more general class of exponential sums. Set
[TABLE]
where , , and is the least common multiple of the set . Notice that , so the case when simply gives us back our previously defined exponential sums.
An important observation concerning the exponential sums is the following.
Lemma 4**.**
Let be a given integer. If does not divide for some , then for any fixed and any we have
[TABLE]
Proof.
Fix , , , and , . Assume, without loss of generality, that does not divide . Then we can write and where the greatest common divisor of and , denoted , is .
Recall that is the least common multiple of all and so that
[TABLE]
Let denote the least common multiple of and . The inner sum is a multiple of
[TABLE]
since and the phase is periodic modulo . The sum over can be written as a sum of over and , giving
[TABLE]
The result follows as
[TABLE]
because . ∎
We now come to the main result of this section.
Lemma 5**.**
For a fixed integer we have that
[TABLE]
which in turn gives
[TABLE]
Proof.
Fix a generic and consider for a fixed . By the Möbius inversion formula the first claim is equivalent to
[TABLE]
Hence we consider
[TABLE]
By reducing fractions this is simply
[TABLE]
Here and by we mean that for each . Applying Lemma 4 lets us write this as
[TABLE]
as each of the terms with and for some do not contribute anything. This last expression is
[TABLE]
which is just
[TABLE]
This proves the first claim.
We now continue by summing over , getting
[TABLE]
which is the second claim. ∎
Before we close this section it is worth pointing out a few corollaries of Lemma 4 which will be used shortly. In the statement we use the notation for the set .
Corollary 1**.**
For a given integer we have the following estimates:
[TABLE]
[TABLE]
and
[TABLE]
Also, for we also have
[TABLE]
The statements (8) and (9) occur in standard treatments of the singular series and here they follow from direct evaluation of (7) at . Equation (10) is also known, but follows easily enough from (8) using the estimates for all ; this estimate is used in the Section 4. The last statement should be known but we have not found it in the literature. The last estimates follows by multiplying both sides of (8) by , summing in , and then using the trivial upper bound on the result from left hand side of (8).
4. The discrete maximal function estimate
We begin by stating a required real analytic maximal function estimate. For this, fix an integer and define the averages
[TABLE]
and the tail maximal operators
[TABLE]
for smooth, compactly supported functions on where . We also define the tail maximal operators
[TABLE]
Note that
[TABLE]
For these operators we have boundedness property.
Proposition 1**.**
For each , there exists a positive constant , independent of , such that
[TABLE]
with an implied constant independent of .
This result is enough for us to deduce the required discrete maximal function inequality, which is the main goal of the current section.
Proposition 2**.**
Let and be given, and fix . If is as stated in Proposition 1, then
[TABLE]
with an implied constant independent of .
Proof of Proposition 2 assuming Proposition 1.
Fix , , and and let be given from Proposition 1. Begin by factoring the function in the usual way:
[TABLE]
Then
[TABLE]
For a fixed we enlarge the supremum in by removing the congruence condition to get
[TABLE]
The last expression can be written in terms of convolutions for which we have convolution kernels and associated to the multipliers and respectively. Then
[TABLE]
where, with an abuse of notation, denotes the maximal operator defined by
[TABLE]
We can evaluate the convolution kernel directly, getting
[TABLE]
With the bound
[TABLE]
we see that
[TABLE]
This gives
[TABLE]
An application Hölder’s inequality show us that
[TABLE]
Our goal is now to find a bound which is uniform in for the last expression. For the first factor we see that this is at most a constant uniformly in . Indeed,
[TABLE]
which is bounded uniformly of by (10). Here we used that ; this explains the presence of the .
The second factor is treated in a similar manner:
[TABLE]
We have
[TABLE]
uniformly in , as the initial expression here is essentially an average.
Now we sum in :
[TABLE]
All that remains is to relate the operators
[TABLE]
to the those treated in Proposition 1. Recalling that the convolution kernel has a Fourier multiplier of
[TABLE]
which lets us write
[TABLE]
The transference principle of [MSW02] (Section 2) reduces the result to Proposition 1. ∎
5. A Euclidean maximal function
In this section we prove Proposition 1. To do this, we need the following estimate from [Mag02]; see Lemma 6 there.
Lemma 6**.**
If is a -regular form of degree in variables, then we have the decay estimate
[TABLE]
where .
In general this estimate is not sharp, but any positive suffices for our argument. For instance, these bounds are readily improved in diagonal situations such as when where one may take .
We now continue with the proof of Proposition 1.
Proof of Proposition 1.
Fix . Let be the constant chosen so that interpolating at and at gives a constant of at . More precisely, define by
[TABLE]
and select by the equation
[TABLE]
Note that does not depend on .
We use an argument similar to that of Lemma 1 of Section 2. Here we approximate the operators simply by the unshifted operator . Lemma 6 paired with Theorem A of [DR86] implies that is bounded on for all . Similarly, for each fixed , we have that is bounded on for all .
At we have
[TABLE]
By our choice of , it suffices for us to show that
[TABLE]
for some .
Notice first that
[TABLE]
so that
[TABLE]
as is satisfied by many .
Fix , where is given in Lemma 6, and set for convenience. We have
[TABLE]
By Plancherel’s Theorem we have
[TABLE]
where
[TABLE]
and
[TABLE]
For we have and we use the estimates , , and to get
[TABLE]
For we use the bounds and
[TABLE]
As
[TABLE]
we get that when we have
[TABLE]
And then
[TABLE]
We now choose , so that implies . This completes the proof. ∎
6. Proof of Theorem 3
Fix . From Section 3 we apply the triangle inequality to find that
[TABLE]
The right hand side is at most
[TABLE]
where is the constant appearing in the statement of Proposition 1.
To treat we use Proposition 2, which gives
[TABLE]
Summing we find
[TABLE]
For we see that
[TABLE]
For each fixed , and we have
[TABLE]
Then
[TABLE]
From the lacunary assumption on our sequence we get
[TABLE]
which gives
[TABLE]
This completes the proof of Theorem 3.
7. Probabilistic counterexamples
In this section we generalize Zienkiewicz’s probabilistic counterexamples to prove Theorem 2. Throughout this section fix our form to be a homogeneous, positive definite form of degree satisfying the Birch rank condition . We will leave the extension to -regular forms to the reader.
We will use the following asymptotic known as the Lipschitz principle in [Dav51]:
[TABLE]
for all sufficiently large . The implicit constants in (12) only depend on the form. For instance is the volume of the body while the other implied constant depends on the -dimensional volume of . This is more precise than the following which was a corollary of the main theorem in [Bir61]:
[TABLE]
Moreover, We have the following version for congruence classes: for fixed and
[TABLE]
for all sufficiently large with respect to . It is important that is the same as in (12).
Since is positive definite and for defines an affine algebraic set, satisfies the conditions stated in [Dav51] sufficient for (12) to hold asymptotically. We will use an analogous statement for the hypersurfaces of .
Proposition 3**.**
For each there exists an sufficiently large such that for each and there exists a such that
[TABLE]
Proof.
Fix a choice of . From (12) we have
[TABLE]
Therefore,
[TABLE]
∎
We now give the proof of Theorem 2.
Proof of Theorem 2.
Fix to be an odd prime. We will probabilistically construct our lacunary sequence by making use of (14). For each , choose so that Proposition 3 holds with . Order the vectors in as for . Choose such that (14) holds for . For each we now have a finite sequence . Order the set of all lexicographically (e.g. in the first index and then the second index) to form the sequence which we also write as . Under this lexicographic ordering if , then by construction . Consequently for each so that we indeed have a lacunary sequence.
Fixing for the moment, for each , we take our function to be . For , we write for some and some which we identify with . Then for compatible with by the above construction, we have
[TABLE]
provided that is sufficiently large with respect to , e.g. . The right hand side of the above is
[TABLE]
by Proposition 3. Therefore, for sufficiently large depending on we have
[TABLE]
Comparing this to , we see that if , then the operator norm for the lacunary maximal function satisfies the lower bound
[TABLE]
This is unbounded on for as goes to infinity. ∎
Remark 3*.*
It is important to note that in the above analysis one may instead choose a sequence which grows faster than lacunary, e.g. such that it grows exponentially like for any , or worse yet super-exponentially like for some , for which the associated maximal function is unbounded near . In particular, the results of [Cook19b] and [Hug14] are non-trivial despite being restricted to such quickly growing sequences.
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