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The discrete spherical averages over a family of sparse sequences

Kevin Hughes Kevin.Hughes@ed.ac.uk School of Mathematics
The University of Edinburgh
James Clerk Maxwell Building
The King’s Buildings
Peter Guthrie Tait Road
EDINBURGH
EH9 3FD Scotland, UK
Abstract.

We initiate the study of the p(d)\ell^{p}(\mathbb{Z}^{d})-boundedness of the arithmetic spherical maximal function over sparse sequences. We state a folklore conjecture for lacunary sequences, a key example of Zienkiewicz and prove new bounds for a family of sparse sequences that achieves the endpoint of the Magyar–Stein–Wainger theorem for the full discrete spherical maximal function in [MSW02]. Perhaps our most interesting result is the boundedness of a discrete spherical maximal function in 4\mathbb{Z}^{4} over an infinite, albeit sparse, set of radii. Our methods include the Kloosterman refinement for the Fourier transform of the spherical measure (introduced in [Mag07]) and Weil bounds for Kloosterman sums which are utilized by a new further decomposition of spherical measure.

1. Introduction

1.1. Stein’s spherical maximal function and its arithmetic analogue

In [Ste76], Stein introduced the spherical maximal function and proved that it is bounded on Lp(d)L^{p}(\mathbb{R}^{d}) for p>dd1p>\frac{d}{d-1} and d3d\geq 3. This was later extended to p>2p>2 when d=2d=2 by Bourgain in [Bou86]. Recently, discrete analogues of Stein’s spherical maximal function have been considered. The discrete sphere of radius r0r\geq 0 in d\mathbb{Z}^{d} is Sd1(r):={xd:|x|2=r2}S^{d-1}(r):=\{x\in\mathbb{Z}^{d}:|x|^{2}=r^{2}\} which contains Nd(r)=#Sd1(r)N_{d}(r)=\#S^{d-1}(r) lattice points. For dimensions d4d\geq 4, the set Sd1(r)S^{d-1}(r) is non-empty precisely when r2r^{2}\in\mathbb{N}. Let full\mathcal{R}_{full} denote the set of radii rr such that Sd1(r)S^{d-1}(r)\not=\emptyset, then full\mathcal{R}_{full} is precisely {r0:r2}\left\{r\in\mathbb{R}_{\geq 0}:r^{2}\in\mathbb{N}\right\} when d4d\geq 4. For rfullr\in\mathcal{R}_{full}, we introduce the discrete spherical averages:

(1) Arf(x)=1Nd(r)ySd1(r)f(xy)=fσr(x)A_{r}f(x)=\frac{1}{N_{d}(r)}\sum_{y\in S^{d-1}(r)}f(x-y)=f*\sigma_{r}(x)

where σr:=1Nd(r)𝟏{xd:|x|2=r2}\sigma_{r}:=\frac{1}{N_{d}(r)}{\bf 1}_{\{x\in\mathbb{Z}^{d}:|x|^{2}=r^{2}\}} is the uniform probability measure on Sd1(r)S^{d-1}(r). The associated (full) maximal function is

(2) Af=suprfull|Arf|.A_{*}f=\sup_{r\in\mathcal{R}_{full}}\lvert A_{r}f\rvert.

Motivated by Stein’s theorem, it is natural to ask: when is AA_{*} bounded on p(d)\ell^{p}(\mathbb{Z}^{d})? Testing the maximal operator on the delta function and using the asymptotics for the number of lattice points on spheres, Nd(r)rd2N_{d}(r)\eqsim r^{d-2} when d5d\geq 5, we expect that the maximal operator is bounded on p\ell^{p} for p>dd2p>\frac{d}{d-2} when d5d\geq 5. In fact, building on the work of [Mag97], this was proven in [MSW02] with a subsequent restricted weak-type bound at the endpoint p=dd2p=\frac{d}{d-2} proven in [Ion04]. In particular, AA_{*} is a bounded operator from p,1(d)\ell^{p,1}(\mathbb{Z}^{d}) to restricted p,(d)\ell^{p,\infty}(\mathbb{Z}^{d}) for p=dd2p=\frac{d}{d-2}; that is, AA_{*} is restricted weak-type (dd2,dd2)(\frac{d}{d-2},\frac{d}{d-2}). This result is sharp. For generalizations to higher degree varieties where the sharp ranges of p,(d)\ell^{p,\infty}(\mathbb{Z}^{d}) are unknown, we refer the reader to [Mag02] and [Hug13].

1.2. The lacunary spherical maximal function and its arithmetic analogue

Shortly after Stein’s work on the spherical maximal function [Ste76], it was observed by Calderón and Coifman–Weiss that lacunary versions of Stein’s spherical maximal function are bounded on a larger range of Lp(d)L^{p}(\mathbb{R}^{d})-spaces than for the full Stein spherical maximal function – see [Cal79] and [CW78] respectively. In particular, they proved:

Calderón, Coifman–Weiss.

The lacunary (continuous) spherical maximal function is bounded on Lp(d)L^{p}(\mathbb{R}^{d}) for d2d\geq 2 and 1<p1<p\leq\infty.

Similarly, we define the lacunary discrete spherical maximal function when d5d\geq 5 by restricting the set of radii to lie in a lacunary sequence :={rj}jfull\mathcal{R}:=\{r_{j}\}_{j\in\mathbb{N}}\subset\mathcal{R}_{full}. Recall that a sequence is lacunary if rj+1>crjr_{j+1}>c\,r_{j} for some c>1c>1. More generally, for any full\mathcal{R}\subseteq\mathcal{R}_{full}, the discrete spherical maximal function over \mathcal{R} is defined in the natural way as

(3) Af:=suprj|Arjf|.A_{\mathcal{R}}^{*}f:=\sup_{r_{j}\in\mathcal{R}}\;\lvert A_{r_{j}}f\rvert.

By the Magyar–Stein–Wainger discrete spherical maximal theorem in [MSW02], we know that any discrete spherical maximal function in 5 or more dimensions over a subsequence of radii in full\mathcal{R}_{full} is bounded on p(d)\ell^{p}(\mathbb{Z}^{d}) for d5d\geq 5 and p>dd2p>\frac{d}{d-2}. In particular this holds true for any lacunary subsequence in 5 or more dimensions.

It is conjectured that the continuous lacunary spherical maximal function is bounded from L1(d)L^{1}(\mathbb{R}^{d}) to L1,(d)L^{1,\infty}(\mathbb{R}^{d}) for d2d\geq 2. See [STW03a] and [STW03b] for recent work in this direction. Analogously, it is a folklore conjecture that the arithmetic lacunary spherical maximal function is bounded on p(d)\ell^{p}(\mathbb{Z}^{d}) for p>1p>1. The following conjecture is our motivation for this paper.

Conjecture 1.

For d5d\geq 5, if \mathcal{R} is a lacunary subsequence of full\mathcal{R}_{full}, then A:1(d)1,(d)A_{\mathcal{R}}^{*}:\ell^{1}(\mathbb{Z}^{d})\to\ell^{1,\infty}(\mathbb{Z}^{d}).

1.3. It’s a trap!

Surprisingly, J. Zienkiewicz has shown that Conjecture 1 is false in general.111This counterexample was communicated to the author by Zienkiewicz after an initial draft of this paper was completed. More precisely, Zienkiewicz proved that there exist infinite, yet arbitrarily thin subsets full\mathcal{R}\subset\mathcal{R}_{full} such that AfA_{\mathcal{R}}^{*}f is unbounded on p(d)\ell^{p}(\mathbb{Z}^{d}) for 1p<dd11\leq p<\frac{d}{d-1} and d5d\geq 5. Zienkiewicz’s counterexamples proceed by a probabilistic argument that incorporates information about the discrete spherical averages when one reduces mod QQ for QQ\in\mathbb{N}. By a probabilistic argument, Zienkiewicz constructs counterexamples that violate (5) of G below for infinitely many primes. In Section 6 we revise Conjecture 1 to account for these counterexamples.

1.4. Results of this paper

Our main theorem is the following improvement to the range of boundedess for maximal functions over lacunary sequences of radii possessing an interesting dichotomy.

Theorem 1.

Let :={rj}full\mathcal{R}:=\left\{r_{j}\right\}\subset\mathcal{R}_{full} be a lacunary subsequence of +\mathbb{R}^{+}. Assume that \mathcal{R} decomposes the primes 𝔓\mathfrak{P}\subset\mathbb{N} into two (not necessarily disjoint) sets: the good primes 𝔓good\mathfrak{P}_{good} and the bad primes 𝔓bad\mathfrak{P}_{bad} such that

  • G:

    for each 𝔭𝔓good\mathfrak{p}\in\mathfrak{P}_{good},

    (4) {rj2mod𝔭}(/𝔭)×,\left\{r_{j}^{2}\mod\mathfrak{p}\right\}\subset(\mathbb{Z}/\mathfrak{p}\mathbb{Z})^{\times},

    and for all ϵ>0\epsilon>0,

    (5) #{rj2mod𝔭}ϵ𝔭ϵ\#\left\{r_{j}^{2}\mod\mathfrak{p}\right\}\lesssim_{\epsilon}\mathfrak{p}^{\epsilon}

    where the implicit constants may depend on ϵ\epsilon, but not on p𝔓goodp\in\mathfrak{P}_{good},

  • B:

    and the bad primes satisfy

    (6) 𝔭𝔓bad𝔭s< for some s(0,1]\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{-s}<\infty\text{ for some $s\in(0,1]$. }

If pdd(1+s)p\geq\frac{d}{d-(1+s)} and p>d1d2p>\frac{d-1}{d-2}, then AA_{\mathcal{R}}^{*} is a bounded operator on p(d)\ell^{p}(\mathbb{Z}^{d}) for d5d\geq 5.

If additionally 2𝔓good2\in\mathfrak{P}_{good}, then AA_{\mathcal{R}}^{*} is bounded on p(d)\ell^{p}(\mathbb{Z}^{d}) for the same range of pp and d4d\geq 4.

Theorem 1 reduces our problem to finding sequences of natural numbers satisfying certain arithmetic properties, and it would be superfluous if we could not find a sequence of radii satisfying the G and B dichotomy. Our next theorem gives a family of sequences satisfying these conditions. This family is well known in number theory as it includes primorials, also known as Euclidean primes, whose definition is motivated by Euclid’s proof of the infinitude of primes. For these sequences, (5) is simple to verify. However, (6) is difficult to verify, and we only have very poor bound for it in this article. In turn, for our family of sparse sequences, presently we are only able to show that the associated discrete spherical maximal function is strong-type at the Magyar–Stein–Wainger endpoint for the full discrete spherical maximal function as opposed to restricted weak-type bound in [Ion04].

Theorem 2.

Let w>1w>1. For any fixed mm\in\mathbb{N}, the sequence of radii ={rj+:rj2=m+j0i2jw𝔭i}\mathcal{R}=\left\{r_{j}\in\mathbb{R}^{+}:r_{j}^{2}=m+\prod_{j_{0}\leq i\leq 2^{j^{w}}}\mathfrak{p}_{i}\right\} satisfy (4) and (5) of G for all primes and (6) of B for s=1s=1.

Theorem 1 and Theorem 2 immediately combine to yield the following endpoint Magyar–Stein–Wainger theorem applied to such sequences.

Corollary 1.1.

Let d4d\geq 4, w>1w>1 and ={rj+:rj2=1+i2jw𝔭i}\mathcal{R}=\left\{r_{j}\in\mathbb{R}^{+}:r_{j}^{2}=1+\prod_{i\leq 2^{j^{w}}}\mathfrak{p}_{i}\right\} where 𝔭i\mathfrak{p}_{i} is the ithi^{th} prime. Let AA_{\mathcal{R}}^{*} denote the spherical maximal function associated to \mathcal{R}. Then AA_{\mathcal{R}}^{*} is a bounded operator on p(d)\ell^{p}(\mathbb{Z}^{d}) for pdd2p\geq\frac{d}{d-2} and d4d\geq 4.

Remark 1.1.

By the Prime Number Theorem, iT𝔭ieT\prod_{i\leq T}\mathfrak{p}_{i}\eqsim e^{T} as TT\to\infty. We see that our sequence grows much faster than lacunary since i2jw𝔭ie2jw\prod_{i\leq 2^{j^{w}}}\mathfrak{p}_{i}\eqsim e^{2^{j^{w}}} for any w>0w>0 as jj\to\infty. The existence of thicker sequences with property (5) would be interesting. On the other hand, our main difficulty in this paper is to establish (6). We only succeed in doing so for s=1s=1; hence the limitation to pdd2p\geq\frac{d}{d-2} in Corollary 1.1.

An intriguing aspect of Corollary 1.1 is that AA_{\mathcal{R}}^{*} is bounded on 2(4)\ell^{2}(\mathbb{Z}^{4}). This is surprising since the full discrete spherical maximal function, AA_{*} fails to be bounded on 2(4)\ell^{2}(\mathbb{Z}^{4}). Worse yet, for dimensions d4d\leq 4, the full maximal function is only bounded on (d)\ell^{\infty}(\mathbb{Z}^{d}). Theorem 1 and Corollary 1.1 mark the first results in 4 dimensions for boundedness of the arithmetic spherical maximal function over infinite sequences.

Let us examine the four dimensional situation further. In 4\mathbb{Z}^{4}, there are precisely 24 lattice points on a sphere of radius 2j2^{j} for all jj\in\mathbb{N}, e.g. N4(2j)=24N_{4}(2^{j})=24. Applying the discrete spherical maximal function to the delta function demonstrates that the naive definition of our maximal function in 4 dimensions is wrong. However, further considerations suggest that there could be a version of the Magyar–Stein–Wainger theorem in 4 dimensions. To make this precise, we must account for some arithmetic phenomena. From the work of Hardy–Littlewood on the circle method, we have the asymptotic formula

(7) Nd(r)=𝔖(r2)πd/2Γ(d/2)rd2+Oϵ(rd/2+ϵ)N_{d}(r)=\mathfrak{S}(r^{2})\frac{\pi^{d/2}}{\Gamma(d/2)}r^{d-2}+O_{\epsilon}(r^{d/2+\epsilon})

where 𝔖(r2)\mathfrak{S}(r^{2}) is the singular series, which satisfies 𝔖(r2)1\mathfrak{S}(r^{2})\eqsim 1 when d5d\geq 5. Lagrange’s theorem and Jacobi’s four square theorem demonstrate that the 4 dimensional case (i.e. S3(r)4S^{3}(r)\in\mathbb{Z}^{4}) is different. In four dimensions, the bound for the error term in (7) dominates the main term, and therefore, (7) is not useful as an asymptotic. However, Kloosterman was able to refine their method by exploiting oscillation between Gauss sums to improve (7) to

(8) Nd(r)=𝔖(r2)πd/2Γ(d/2)rd2+Oϵ(rd219+ϵ)N_{d}(r)=\mathfrak{S}(r^{2})\frac{\pi^{d/2}}{\Gamma(d/2)}r^{d-2}+O_{\epsilon}(r^{\frac{d}{2}-\frac{1}{9}+\epsilon})

for all ϵ>0\epsilon>0 and d4d\geq 4. The cost here is that the singular series in the asymptotic formula is not uniform, and in fact can be very small. One can predict this from Jacobi’s theorem since there are precisely 24 lattice points when r=2jr=2^{j} for all jj\in\mathbb{N}; in this case, one sees that 𝔖(4j)4j\mathfrak{S}(4^{j})\lesssim 4^{-j}. To avoid this 2-adic obstruction in the singular series when d=4d=4, we make the additional assumption that rj20(mod4)r_{j}^{2}\not\equiv 0(\mod 4) for each jj\in\mathbb{N} or (4) holds for the prime 2. In either case N4(r2)r2N_{4}(r^{2})\eqsim r^{2} so that there are many lattice points on S3(r)S^{3}(r). Modifying the discrete spherical maximal function in 4 dimensions in this way, it is natural to conjecture that it is bounded on p(4)\ell^{p}(\mathbb{Z}^{4}) for 2<p2<p\leq\infty – see [Hug12] for a precise statement of this conjecture and a related result.

1.5. Notations

Our notation is a mix of notations from analytic number theory and harmonic analysis. Most of our notation is standard, but there are a few choices based on aesthetics.

  • The torus 𝕋d\mathbb{T}^{d} may be identified with any box in d\mathbb{R}^{d} of sidelengths 1, for instance [0,1]d[0,1]^{d} or [1/2,1/2]d[-1/2,1/2]^{d}.

  • We identify /q\mathbb{Z}/q\mathbb{Z} with the set {1,,q}\left\{1,\dots,q\right\} and (/q)×(\mathbb{Z}/q\mathbb{Z})^{\times} is the group of units in /q\mathbb{Z}/q\mathbb{Z}, also considered as a subset of {1,,q}\left\{1,\dots,q\right\}.

  • e(t)e\left(t\right) will denote the character e2πite^{2\pi it} for t,/qt\in\mathbb{R},\mathbb{Z}/q\mathbb{Z} or 𝕋\mathbb{T}.

  • We abuse notation by writing b2{b}^{2} to mean i=1dbi2\sum_{i=1}^{d}b_{i}^{2} for b(/q)db\in(\mathbb{Z}/q\mathbb{Z})^{d} and the dot product notation bmb\cdot m to mean i=1dbimi\sum_{i=1}^{d}b_{i}m_{i} for b,m(/q)db,m\in(\mathbb{Z}/q\mathbb{Z})^{d} or d\mathbb{Z}^{d}.

  • For any qq\in\mathbb{N}, φ(q)\varphi(q) will denote Euler’s totient function, the size of (/q)×(\mathbb{Z}/q\mathbb{Z})^{\times}.

  • For two functions f,gf,g, fgf\lesssim g if |f(x)|C|g(x)|\lvert f(x)\rvert\leq C\lvert g(x)\rvert for some constant C>0C>0. ff and gg are comparable fgf\eqsim g if fgf\lesssim g and gfg\lesssim f. All constants throughout the paper may depend on dimension dd.

  • If f:df:\mathbb{R}^{d}\to\mathbb{C}, then we define its Fourier transform by f~(ξ):=df(x)e(xξ)𝑑x\widetilde{f}(\xi):=\int_{\mathbb{R}^{d}}f(x)e(x\cdot\xi)dx for ξd\xi\in\mathbb{R}^{d}. If f:𝕋df:\mathbb{T}^{d}\to\mathbb{C}, then we define its Fourier transform by f^(m):=𝕋df(x)e(mx)𝑑x\widehat{f}(m):=\int_{\mathbb{T}^{d}}f(x)e(-m\cdot x)dx for mdm\in\mathbb{Z}^{d}. If f:df:\mathbb{Z}^{d}\to\mathbb{C}, then we define its inverse Fourier transform by f^(ξ):=mdf(m)e(nξ)\widehat{f}(\xi):=\sum_{m\in\mathbb{Z}^{d}}f(m)e(n\cdot\xi) for ξ𝕋d\xi\in\mathbb{T}^{d}.

  • Tpp\left\Arrowvert T\right\Arrowvert_{p\to p} will denote the p(d)\ell^{p}(\mathbb{Z}^{d}) to p(d)\ell^{p}(\mathbb{Z}^{d}) operator norm of the operator TT.

1.6. Layout of the paper

By interpolation with the usual (d)\ell^{\infty}(\mathbb{Z}^{d}) bound, we restrict our attention to the range 1p21\leq p\leq 2. From [MSW02], we understand that each average decomposes into a main term (resembling the singular series and singular integral of the circle method) and an error term. We recall this machinery in section 2. The main term and error term will be bounded on ranges of p(d)\ell^{p}(\mathbb{Z}^{d})-spaces by distinct arguments. In section 3, our bounds for the main term exploit the Weil bounds for Kloosterman sums via the transference principle of Magyar–Stein–Wainger. The main result here is Lemma 3.1 and we introduce a more precise decomposition of the multipliers in order to use the Kloosterman method. In section 4, the error term is handled by a square function argument using the lacunary condition. The main lemma here is Lemma 4.2. Our novelty here is that we exploit (well-known) cancellation for averages of Ramanujan sums to improve the straight-forward 1(d)\ell^{1}(\mathbb{Z}^{d}) bound. Theorem 1 follows immediately by combining Lemma 3.1 with Lemma 4.2. In section 5, we prove Theorem 2. The properties of our sequences are well known to analytic number theorists, but we could not find them in the literature. Section 6 concludes our paper with some questions and remarks.

2. MSW machinery and the Kloosterman refinement

Before turning to the proof of Theorem 1, we review the Kloosterman refinement as in (1.9) of Lemma 1 from [Mag07], some machinery from [MSW02] and bounds for exponential sums.

Let σr:=1Nd(r)𝟏{md:|m|=r}\sigma_{r}:=\frac{1}{N_{d}(r)}{\bf 1}_{\left\{m\in\mathbb{Z}^{d}:\lvert m\rvert=r\right\}} denote the normalized surface measure on the sphere of radius rr centered at the origin for some rr\in\mathcal{R}. The circle method of Hardy–Littlewood, and of Kloosterman yields Nd(r)rd2N_{d}(r)\eqsim r^{d-2} for rfullr\in\mathcal{R}_{full} when d5d\geq 5 and for r20mod4r^{2}\not\equiv 0\mod 4 when d=4d=4, so we renormalize our spherical measure to

(9) σr:=r2d𝟏{md:|m|=r}.\sigma_{r}:=r^{2-d}\cdot{\bf 1}_{\left\{m\in\mathbb{Z}^{d}:\lvert m\rvert=r\right\}}.

Note that our subsequences of radii \mathcal{R} exclude the case r20mod4r^{2}\equiv 0\mod 4 when d=4d=4, so that we may renormalize in this case when 2 is a good prime; that is, 2 satisfies (4) of G . Furthermore, we renormalize our averages and maximal function accordingly. Using Heath-Brown’s version of the Kloosterman refinement to the Hardy–Littlewood–Ramanujan circle method from [HB83], Magyar gave an approximation formula generalizing (8) for σr\sigma_{r} in [Mag07]. We recall this now:

The Approximation Formula.

If d4d\geq 4, then for each rfullr\in\mathcal{R}_{full},

(10) σr^(ξ)=q=1rmdK(q,r2;m)Ψ(qξm)dσr~(ξm/q)+Er^(ξ)\widehat{\sigma_{r}}(\xi)=\sum_{q=1}^{r}\sum_{m\in\mathbb{Z}^{d}}K(q,r^{2};m)\Psi(q\xi-m)\widetilde{d\sigma_{r}}(\xi-m/q)+\widehat{{E}_{r}}(\xi)

with error term, Er{E}_{r} that is the convolution operator given by the multiplier Er^\widehat{{E}_{r}}, satisfying

(11) Erf2(d)ϵr2d+12+ϵf2(d)\left\Arrowvert{E}_{r}f\right\Arrowvert_{\ell^{2}(\mathbb{Z}^{d})}\lesssim_{\epsilon}r^{2-\frac{d+1}{2}+\epsilon}\left\Arrowvert f\right\Arrowvert_{\ell^{2}(\mathbb{Z}^{d})}

for any ϵ>0\epsilon>0.

Here and throughout, for q,Nq,N\in\mathbb{N} and mdm\in\mathbb{Z}^{d},

(12) K(q,N;m):=qda(/q)×e(aNq)b(/q)de(ab2+bmq)K(q,N;m):=q^{-d}\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(-\frac{aN}{q}\right)\sum_{b\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d}}e\left(\frac{ab^{2}+b\cdot m}{q}\right)

are Kloosterman sums, Ψ\Psi is a smooth function supported in [1/4,1/4]d[-1/4,1/4]^{d} and equal to 1 on [1/8,1/8]d[-1/8,1/8]^{d}. Our Kloosterman sums arise naturally in Waring’s problem as a weighted sum of the Gauss sums

(13) G(a,q,m):=qdb(/q)de(ab2+bmq)G(a,q,m):=q^{-d}\sum_{b\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d}}e\left(\frac{ab^{2}+b\cdot m}{q}\right)

(qq\in\mathbb{N}, a(/q)×a\in(\mathbb{Z}/q\mathbb{Z})^{\times} and mdm\in\mathbb{Z}^{d}) so that K(q,N;m)=a(/q)×e(aNq)G(a,q,m)K(q,N;m)=\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(-\frac{aN}{q}\right)G(a,q,m). dσrd\sigma_{r} denotes the induced Lebesgue measure on the sphere of radius rr in d\mathbb{R}^{d} normalized so that the total surface measure is πd/2/Γ(d/2)\pi^{d/2}/\Gamma(d/2) for each r>0r>0. Note that this spherical measure is also the restriction of the Gelfand–Leray form to the sphere of radius rr, or the Dirac delta measure; both with the appropriate normalization. One may take ξ=0\xi=0 to check that (10) is compatible with (7) (keep in mind our renormalization).

Remark 2.1.

The bound for the error term in (11) was obtained with a weaker exponent of 2d219+ϵ2-\frac{d}{2}-\frac{1}{9}+\epsilon in place of 2d212+ϵ2-\frac{d}{2}-\frac{1}{2}+\epsilon for the dyadic maximal function version in [Hug12] by extending Kloosterman’s original method in [Klo27] while Magyar achieved the (presumably optimal) savings of (11) using Heath-Brown’s method in [HB83]. Alternately, Heath-Brown’s method in [HB96] achieves (11).

With The Approximation Formula in mind, it is necessary to understand the relationship between multipliers defined on 𝕋d\mathbb{T}^{d} and d\mathbb{R}^{d}. Suppose that μ\mu is a multiplier supported in [1/2,1/2]d[-1/2,1/2]^{d}, then we can think of μ\mu as a multiplier on d\mathbb{R}^{d} or 𝕋d\mathbb{T}^{d}; denote these as μd\mu_{\mathbb{R}^{d}} and μ𝕋d\mu_{\mathbb{T}^{d}} respectively where μ𝕋d(ξ):=mdμ(ξm)\mu_{\mathbb{T}^{d}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}\mu(\xi-m) is the periodization of μd\mu_{\mathbb{R}^{d}}. These have convolution operators TdT_{\mathbb{R}^{d}} and T𝕋dT_{\mathbb{T}^{d}} on their respective spaces. Explicitly, for F:dF:\mathbb{R}^{d}\to\mathbb{C},

TdF(x):=dμd(ξ)F~(ξ)e(xξ)𝑑ξT_{\mathbb{R}^{d}}F(x):=\int_{\mathbb{R}^{d}}\mu_{\mathbb{R}^{d}}(\xi)\widetilde{F}(\xi)e\left(-x\cdot\xi\right)\,d\xi

and for f:df:\mathbb{Z}^{d}\to\mathbb{C},

Tdf(m):=𝕋dμ𝕋d(ξ)f^(ξ)e(mξ)𝑑ξ.T_{\mathbb{Z}^{d}}f(m):=\int_{\mathbb{T}^{d}}\mu_{\mathbb{T}^{d}}(\xi)\widehat{f}(\xi)e\left(-m\cdot\xi\right)\,d\xi.

We will need apply these to maximal functions, so we extend these notions to Banach spaces. Let B1,B2B_{1},B_{2} be two finite dimensional Banach spaces with norms 1,2\left\Arrowvert\cdot\right\Arrowvert_{1},\left\Arrowvert\cdot\right\Arrowvert_{2}, and (B1,B2)\mathcal{L}(B_{1},B_{2}) is the space of bounded linear tranformations from B1B_{1} to B2B_{2}. Let Bip\ell^{p}_{B_{i}} be the space of functions f:dBif:\mathbb{Z}^{d}\to B_{i} such that mdfip<\sum_{m\in\mathbb{Z}^{d}}\left\Arrowvert f\right\Arrowvert_{i}^{p}<\infty and LBipL^{p}_{B_{i}} be the space of functions F:dBiF:\mathbb{R}^{d}\to B_{i} such that dFip<\int_{\mathbb{R}^{d}}\left\Arrowvert F\right\Arrowvert_{i}^{p}<\infty. For a fixed modulus qq\in\mathbb{N}, suppose that μ:[1/2q,1/2q]d(B1,B2)\mu:[-1/2q,1/2q]^{d}\to\mathcal{L}(B_{1},B_{2}) is a multiplier with convolution operators TdT_{\mathbb{R}^{d}} on d\mathbb{R}^{d} and TdT_{\mathbb{Z}^{d}} on d\mathbb{Z}^{d}. Extend μ\mu periodically to the torus to define μ𝕋dq(ξ):=mdμ𝕋d(ξm/q)\mu^{q}_{\mathbb{T}^{d}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}\mu_{\mathbb{T}^{d}}(\xi-m/q) with convolution operator TdqT^{q}_{\mathbb{Z}^{d}} on d\mathbb{Z}^{d} defined by Tdqf^(ξ)=μ𝕋dq(ξ)f^(ξ)\widehat{T^{q}_{\mathbb{Z}^{d}}f}(\xi)=\mu^{q}_{\mathbb{T}^{d}}(\xi)\cdot\widehat{f}(\xi). Magyar–Stein–Wainger proved a transference principle which relates the boundedness of TdT_{\mathbb{R}^{d}} to that of TdqT_{\mathbb{Z}^{d}}^{q} for any finite dimensional Banach space. The following transference principle is Proposition 2.1 in [MSW02]:

Magyar–Stein–Wainger transference lemma.

For 1p1\leq p\leq\infty,

(14) TdqB1pB2pTdLB1pLB2p.\left\Arrowvert T^{q}_{\mathbb{Z}^{d}}\right\Arrowvert_{\ell^{p}_{B_{1}}\to\ell^{p}_{B_{2}}}\lesssim\left\Arrowvert T_{\mathbb{R}^{d}}\right\Arrowvert_{L^{p}_{B_{1}}\to L^{p}_{B_{2}}}.

The implicit constant is independent of B1,B2,pB_{1},B_{2},p and qq.

We will apply this lemma with B1=B2=()B_{1}=B_{2}=\ell^{\infty}(\mathbb{N}) in order to compare averages over the discrete spherical maximal function with known bounds for averages over the continuous lacunary spherical maximal function. Technically, we should truncate the maximal function and apply the lemma with B1=B2=({1,,N})B_{1}=B_{2}=\ell^{\infty}(\left\{1,\dots,N\right\}) for arbitrarily large NN\in\mathbb{N} with bounds independent of NN. However, this is a standard technique that we will not emphasize.

The Magyar–Stein–Wainger transference lemma allows us to utilize our understanding of the continuous theory for spherical averages and reduces our problem to understanding the arithmetic aspects of the multipliers mdK(q,r2;m)Ψ(qξm)dσ~(r(ξm/q))\sum_{m\in\mathbb{Z}^{d}}K(q,r^{2};m)\Psi(q\xi-m)\widetilde{d\sigma}(r(\xi-m/q)) for each qq. To handle these we recall Proposition 2.2 in [MSW02]:

Lemma 2.1 (Magyar–Stein–Wainger).

Suppose that μ(ξ)=mdg(m)φ(ξm/q)\mu(\xi)=\sum_{m\in\mathbb{Z}^{d}}g({m})\varphi(\xi-m/q) is a multiplier on 𝕋d\mathbb{T}^{d} where φ\varphi is smooth and supported in [1/2q,1/2q]d[-1/2q,1/2q]^{d} with convolution operator TT on d\mathbb{Z}^{d}. Furthermore, assume that g(m)g({m}) is qq-periodic (g(m1)=g(m2)g(m_{1})=g(m_{2}) if m1m2modqm_{1}\equiv m_{2}\mod{q}). For a qq-periodic sequence, define the (/q)d(\mathbb{Z}/q\mathbb{Z})^{d}-Fourier transform g^(m):=b(/q)dg(b)e(mbq)\widehat{g}(m):=\sum_{b\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d}}g(b)e\left(\frac{m\cdot b}{q}\right). Then for 1p21\leq p\leq 2,

(15) Tp(d)p(d)(supm(/q)d|g(m)|)22/p(supn(/q)d|g^(n)|)2/p1\left\Arrowvert T\right\Arrowvert_{\ell^{p}(\mathbb{Z}^{d})\to\ell^{p}(\mathbb{Z}^{d})}\lesssim\left(\sup_{m\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d}}\lvert g({m})\rvert\right)^{2-2/p}\left(\sup_{n\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d}}\lvert\widehat{g}({n})\rvert\right)^{2/p-1}

with implicit constants depending on φ\varphi and pp, but independent of gg.

We will apply Lemma 2.1 with the sequence g(m)g(m) taken to be the Kloosterman sums K(q,r2;m)K(q,r^{2};m). We have the following estimates for the Kloosterman and Gauss sums.

The Gauss bound ((12.5) on p. 151 of [Gro85]).

For all mdm\in\mathbb{Z}^{d},

(16) |G(a,q,m)|2d/2qd/2.\lvert G(a,q,m)\rvert\leq 2^{d/2}q^{-d/2}.

Applying the triangle inequality, we immediately obtain the Gauss bound for Kloosterman sums:

(17) |K(q,m;N)|2d/2q1d/2.\lvert K(q,m;N)\rvert\leq 2^{d/2}q^{1-d/2}.

Kloosterman beat the Gauss bound for Kloosterman sums by making use of oscillation between Gauss sums in the Kloosterman sums, and consequently, he extended the Hardy–Littlewood circle method for representations of diagonal quadratic forms in 5 or more variables down to 4 variables. Similarly here, the Gauss bound is insufficient for our purposes and we need to make use of cancellation between the Gauss sums. The first type of bound to appear for this is due to Kloosterman in [Klo27]. The best possible estimate of this sort is Weil’s bound which essentially obtains square-root cancellation in the average over a(/q)×a\in(\mathbb{Z}/q\mathbb{Z})^{\times}.

The Weil bound for Kloosterman sums ((1.13) of [Mag07]).

For each modulus qq\in\mathbb{N} write q=qoddqevenq=q_{odd}\cdot q_{even} where qoddq_{odd} is odd while qevenq_{even} is the precise power of 2 that divides qq. For all ϵ>0\epsilon>0, we have

(18) |K(q,N,m)|ϵqd12+ϵ(qodd,N)1/2qeven1/2\lvert K(q,N,m)\rvert\lesssim_{\epsilon}q^{-\frac{d-1}{2}+\epsilon}\left(q_{odd},N\right)^{1/2}q_{even}^{1/2}

where the implicit constants are independent of qq and uniform in mdm\in\mathbb{Z}^{d}.

Remark 2.2.

We note that in our definition of the Kloosterman sums K(q,N,m)K(q,N,m), we have the following important multiplicativity property: if (q1,q2)=1\left(q_{1},q_{2}\right)=1, then for any NN\in\mathbb{N} and mdm\in\mathbb{Z}^{d},

(19) K(q1q2,N;m)=K(q1,N;m)K(q2,N;m).K(q_{1}q_{2},N;m)=K(q_{1},N;m)K(q_{2},N;m).

For a proof see Lemma 5.1 in [Dav05].

3. The main term

Our starting point is The Approximation Formula; we have

σr^(ξ)=q=1rCrq^(ξ)+Er^(ξ)\widehat{\sigma_{r}}(\xi)=\sum_{q=1}^{r}\widehat{C_{r}^{q}}(\xi)+\widehat{{E}_{r}}(\xi)

where Crq^(ξ)\widehat{C_{r}^{q}}(\xi) is the multiplier

mdK(q,r2;m)Ψ(qξm)dσr~(ξm/q).\sum_{m\in\mathbb{Z}^{d}}K(q,r^{2};m)\Psi(q\xi-m)\widetilde{d\sigma_{r}}(\xi-m/q).

Let CrqC_{r}^{q} be the convolution operator with multiplier Crq^\widehat{C_{r}^{q}}. Then letting Cr:=1qrCrqC_{r}:=\sum_{1\leq q\leq r}C_{r}^{q}, we have Ar=Cr+ErA_{r}=C_{r}+{E}_{r} for each rfullr\in\mathcal{R}_{full}. The main goal of this section is to prove the following lemma regarding the main terms CrC_{r}. We will discuss the error terms Er{E}_{r} in Section 4.

Lemma 3.1.

If full\mathcal{R}\subset\mathcal{R}_{full} is a lacunary subsequence of radii satisfying (4), (5) of G and (6) of B for some s[0,1]s\in[0,1], then for d5d\geq 5,

(20) supr|Crf|p(d)fp(d)\left\|\sup_{r\in\mathcal{R}}\lvert C_{r}f\rvert\right\|_{\ell^{p}(\mathbb{Z}^{d})}\lesssim\left\|f\right\|_{\ell^{p}(\mathbb{Z}^{d})}

if dd(1+s)p2\frac{d}{d-(1+s)}\leq p\leq 2 and simultaneously d1d2<p2.\frac{d-1}{d-2}<p\leq 2. Furthermore, if d=4d=4 and 2 is a good prime (2𝔓good2\in\mathfrak{P}_{good}), then (20) is true for the same range of pp.

Before proving Lemma 3.1 we orient ourselves with a few propositions. All implicit constants are allowed to depend on the dimension dd and pp. To start, we have the triangle inequality for any subsequence full\mathcal{R}\subseteq\mathcal{R}_{full},

(21) supr|Cr|ppq=1supr|Crq|pp.\left\Arrowvert\sup_{r\in\mathcal{R}}\lvert C_{r}\rvert\right\Arrowvert_{p\to p}\leq\sum_{q=1}^{\infty}\left\Arrowvert\sup_{r\in\mathcal{R}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p}.

We restrict our attention to an individual summand for the time being. We have the following bound from [MSW02].

Proposition 3.1 (Proposition 3.1 (a) in [MSW02]).

If dd1<p2\frac{d}{d-1}<p\leq 2, then

suprfull|Crq|ppq1dp.\left\Arrowvert\sup_{r\in\mathcal{R}_{full}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p}\lesssim q^{1-\frac{d}{p^{\prime}}}.

This bound applies to the full sequence of radii and hence any subsequence, which we will choose to be \mathcal{R} in a moment. We briefly record that the range of p(d)\ell^{p}(\mathbb{Z}^{d})-spaces improves if one replaces Stein’s theorem (for the spherical maximal function) with the Calderón, Coifman–Weiss theorem for any lacunary subsequence of full\mathcal{R}_{full} in the proof of Proposition 3.1. See Proposition 3.1 (a) in [MSW02] for more details.

Proposition 3.2.

If \mathcal{R} is a lacunary subsequence of full\mathcal{R}_{full} and 1<p21<p\leq 2, then

(22) supr|Crq|ppq1dp.\left\Arrowvert\sup_{r\in\mathcal{R}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p}\lesssim\;q^{1-\frac{d}{p^{\prime}}}.

In [MSW02] we learned that we can factor Crq=SrqTrq=TrqSrqC_{r}^{q}=S^{q}_{r}\circ T^{q}_{r}=T^{q}_{r}\circ S^{q}_{r} into two commuting multipliers SrqS^{q}_{r} and TrqT^{q}_{r}, effectively separating the arithmetic and analytic aspects of CrqC_{r}^{q}, by using a smooth function Ψ\Psi^{\prime} such that 𝟏{[1/4,1/4]d}Ψ𝟏{[1/2,1/2]d}{\bf 1}_{\left\{[-1/4,1/4]^{d}\right\}}\leq\Psi^{\prime}\leq{\bf 1}_{\left\{[-1/2,1/2]^{d}\right\}} on 𝕋d\mathbb{T}^{d} so that ΨΨ=Ψ\Psi\cdot\Psi^{\prime}=\Psi. For rfullr\in\mathcal{R}_{full} and qq\in\mathbb{N}, we have the Kloosterman multipliers

(23) Srq^(ξ):=mdK(q,r2;m)Ψ(qξm)\widehat{S^{q}_{r}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}K(q,r^{2};m)\Psi(q\xi-m)

and the localized spherical averaging multipliers

(24) Trq^(ξ):=mdΨ(qξm)dσr~(ξm/q).\widehat{T^{q}_{r}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}\Psi^{\prime}(q\xi-m)\widetilde{d\sigma_{r}}(\xi-m/q).

In order to improve on the Magyar–Stein–Wainger range of p(d)\ell^{p}(\mathbb{Z}^{d})-spaces for supr|Cr|\sup_{r\in\mathcal{R}}\lvert C_{r}\rvert, 222The sharp range of p(d)\ell^{p}(\mathbb{Z}^{d})-spaces is p>dd2p>\frac{d}{d-2} when \mathcal{R} is full\mathcal{R}_{full}, which results from summing (22) over qq\in\mathbb{N} in (21) we need to beat the exponent 1dp{1-\frac{d}{p^{\prime}}} of the modulus qq in (22). Using the Weil bound, we do so for an individual convolution operator CrqC_{r}^{q}.

Proposition 3.3 (Weil bound for Kloosterman multipliers).

If 1p21\leq p\leq 2 and qq is an odd number, then for each rfullr\in\mathcal{R}_{full} and for all ϵ>0\epsilon>0,

(25) Crqppϵφ(q)2p1qd1p+ϵ(q,r2)1p.\left\Arrowvert C_{r}^{q}\right\Arrowvert_{p\to p}\lesssim_{\epsilon}\varphi(q)^{\frac{2}{p}-1}\cdot q^{-\frac{d-1}{p^{\prime}}+\epsilon}\left(q,r^{2}\right)^{\frac{1}{p^{\prime}}}.
Proof.

On 2(d)\ell^{2}(\mathbb{Z}^{d}), we apply the Weil bound (18) to the Kloosterman sums in Srq^\widehat{S^{q}_{r}}. Meanwhile on 1(d)\ell^{1}(\mathbb{Z}^{d}), if KrqK^{q}_{r} denotes the kernel of the multiplier Srq^\widehat{S^{q}_{r}}, then Krq(b)=a(/q)×e(a[r2b2]q)K^{q}_{r}(b)=\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(\frac{a[r^{2}-b^{2}]}{q}\right) for b(/q)db\in\left(\mathbb{Z}/q\mathbb{Z}\right)^{d} where we have the trivial bound of φ(q)\varphi(q). (15) of Lemma 2.1 yields the bound. ∎

However, for a fixed modulus qq in \mathbb{N} with q=q1q2q=q_{1}q_{2} such that q1q_{1} and q2q_{2} coprime, we can factor SrqS_{r}^{q} into two pieces. If (q1,q2)=1\left(q_{1},q_{2}\right)=1, then by the Chinese Remainder Theorem and multiplicativity of Kloosterman sums (19) we have

(26) Crq=TrqUr1,qUr2,qC_{r}^{q}=T^{q}_{r}\circ U^{1,q}_{r}\circ U^{2,q}_{r}

where the operators Ur1,qU^{1,q}_{r} and Ur2,qU^{2,q}_{r} are defined by the multipliers

Ur1,q^(ξ):=mdK(q1,r2;m)Ψq1q2(ξmq1q2)\displaystyle\widehat{U^{1,q}_{r}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}K(q_{1},r^{2};m)\Psi_{q_{1}q_{2}}^{\prime}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)
Ur2,q^(ξ):=mdK(q2,r2;m)Ψq1q2(ξmq1q2)\displaystyle\widehat{U^{2,q}_{r}}(\xi):=\sum_{m\in\mathbb{Z}^{d}}K(q_{2},r^{2};m)\Psi_{q_{1}q_{2}}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)

since

Srq^(ξ)\displaystyle\widehat{S^{q}_{r}}(\xi) =mdK(q1q2,r2;m)Ψq1q2(ξmq1q2)\displaystyle=\sum_{m\in\mathbb{Z}^{d}}K(q_{1}q_{2},r^{2};m)\Psi_{q_{1}q_{2}}(\xi-\frac{m}{q_{1}q_{2}})
=mdK(q1,r2;m)K(q2,r2;m)Ψq1q2(ξmq1q2)Ψq1q2(ξmq1q2)\displaystyle=\sum_{m\in\mathbb{Z}^{d}}K(q_{1},r^{2};m)K(q_{2},r^{2};m)\Psi_{q_{1}q_{2}}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)\Psi_{q_{1}q_{2}}^{\prime}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)
=(mdK(q1,r2;m)Ψq1q2(ξmq1q2))(mdK(q2,r2;m)Ψq1q2(ξmq1q2)).\displaystyle=\left(\sum_{m\in\mathbb{Z}^{d}}K(q_{1},r^{2};m)\Psi_{q_{1}q_{2}}^{\prime}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)\right)\left(\sum_{m\in\mathbb{Z}^{d}}K(q_{2},r^{2};m)\Psi_{q_{1}q_{2}}~\left(\xi-\frac{m}{q_{1}q_{2}}\right)\right).

Note that Ur1,qU^{1,q}_{r} is q1q_{1}-periodic in r2r^{2} and Ur2,qU^{2,q}_{r} is q2q_{2}-periodic in r2r^{2} while both of K(q1,r2;m)K(q_{1},r^{2};m) and K(q2,r2;m)K(q_{2},r^{2};m) are q1q2q_{1}q_{2}-periodic in mdm\in\mathbb{Z}^{d}.

Using our refined decomposition (26), we now come to the main proposition that enables us to prove Lemma 3.1.

Proposition 3.4.

Fix qq\in\mathbb{N} such that q=q1q2q=q_{1}q_{2} with (q1,q2)=1\left(q_{1},q_{2}\right)=1 and \mathcal{R} a lacunary subsequence of full\mathcal{R}_{full}. Let i(q1)\mathcal{R}_{i(q_{1})} denote the set of radii {r:r2imodq1}\left\{r\in\mathcal{R}:r^{2}\equiv i\mod q_{1}\right\}. If 1<p21<p\leq 2, then

(27) supr|Crq|ppq21d/p#{i/q1:i(q1)}supi/q1{Uri1,qpp}\left\Arrowvert\sup_{r\in\mathcal{R}}|C_{r}^{q}|\right\Arrowvert_{p\to p}\lesssim q_{2}^{1-d/p^{\prime}}\cdot\#\left\{i\in\mathbb{Z}/q_{1}\mathbb{Z}:\mathcal{R}_{i(q_{1})}\not=\emptyset\right\}\cdot\sup_{i\in\mathbb{Z}/q_{1}\mathbb{Z}}\left\{\left\Arrowvert U^{1,q}_{r_{i}}\right\Arrowvert_{p\to p}\right\}

where rir_{i} is a chosen representative of i(q1)\mathcal{R}_{i(q_{1})} for each i/q1i\in\mathbb{Z}/q_{1}\mathbb{Z}.

It will be important in our proof of Lemma 3.1 that #{i/q:i(q)}\#\left\{i\in\mathbb{Z}/q\mathbb{Z}:\mathcal{R}_{i(q)}\not=\emptyset\right\} is small for most moduli qq and that we can apply Proposition 3.3, the Weil bound for Kloosterman multipliers to the operators Uri1,qU^{1,q}_{r_{i}}.

Proof of Proposition 3.4.

Let q=q1q2q=q_{1}q_{2} and subset full\mathcal{R}\subset\mathcal{R}_{full} be a lacunary subsequence. The union bound applied to =i/q1i(q1)\mathcal{R}=\cup_{i\in\mathbb{Z}/q_{1}\mathbb{Z}}\mathcal{R}_{i(q_{1})} implies

(28) supr|Crq|ppi=1q1supri(q1)|Crq|pp,\left\Arrowvert\sup_{r\in\mathcal{R}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p}\leq\sum_{i=1}^{q_{1}}\left\Arrowvert\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p},

with the understanding that if i(q1)\mathcal{R}_{i(q_{1})} is empty, then supri(q1)|Crq|pp\left\Arrowvert\sup_{r\in\mathcal{R}_{i(q_{1})}}{\lvert C_{r}^{q}\rvert}\right\Arrowvert_{p\to p} is 0. Therefore, (27) will follow from proving

(29) supri(q1)|Crq|ppq21d/pUri1,qpp.\left\Arrowvert\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert C_{r}^{q}\rvert\right\Arrowvert_{p\to p}\lesssim q_{2}^{1-d/p^{\prime}}\left\Arrowvert{U^{1,q}_{r_{i}}}\right\Arrowvert_{p\to p}.

Our decomposition (26) implies that

supri(q1)|Crqf|=supri(q1)|TrqSrqf|=supri(q1)|TrqUr2,qUr1,qf|.\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert C_{r}^{q}f\rvert=\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert T^{q}_{r}S^{q}_{r}f\rvert=\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert T^{q}_{r}U^{2,q}_{r}U^{1,q}_{r}f\rvert.

If r1,r2i(q1)r_{1},r_{2}\in\mathcal{R}_{i(q_{1})}, then Ur11,q=Ur21,qU^{1,q}_{r_{1}}=U^{1,q}_{r_{2}}. Therefore, if rir_{i} is a chosen representative radius in i(q1)\mathcal{R}_{i(q_{1})}, then

supri(q1)|Crqf|=supri(q1)|TrqUr2,q(Uri1,qf)|.\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert C_{r}^{q}f\rvert=\sup_{r\in\mathcal{R}_{i(q_{1})}}\lvert{T^{q}_{r}U^{2,q}_{r}}\left(U^{1,q}_{r_{i}}f\right)\rvert.

The operator TrqUr2,qT^{q}_{r}U^{2,q}_{r} is very similar to Crq2C_{r}^{q_{2}}, and in fact (22) holds with Crq2C_{r}^{q_{2}} replaced by TrqUr2,qT^{q}_{r}U^{2,q}_{r} since Ur2,qU^{2,q}_{r} is q2q_{2}-periodic in r2r^{2} and K(q2,r2;m)K(q_{2},r^{2};m) are q1q2q_{1}q_{2}-periodic in mdm\in\mathbb{Z}^{d}. (Likewise, Uri1,qU^{1,q}_{r_{i}} is very similar to Crq1C_{r}^{q_{1}} and the Weil bound (25) applies with Crq1C_{r}^{q_{1}} replaced by Uri1,qU^{1,q}_{r_{i}}.) The Magyar–Stein–Wainger transference principle combined with the Calderon, Coifman–Weiss theorem and (22) imply (27) since i(q1)\mathcal{R}_{i(q_{1})} is also a (possibly finite) lacunary sequence. ∎

3.1. Proof of Lemma 3.1

Recall that 𝔓\mathfrak{P} denotes the set of primes in \mathbb{N}. In this section we fix our collection of radii to be a lacunary sequence full\mathcal{R}\subset\mathcal{R}_{full} so that the set of primes 𝔓=𝔓bad𝔓good\mathfrak{P}=\mathfrak{P}_{bad}\cup\mathfrak{P}_{good} is a union of the sets bad primes 𝔓bad\mathfrak{P}_{bad} and good primes 𝔓good\mathfrak{P}_{good} satisfying (6) and (4), (5) respectively.

If 𝔭\mathfrak{p} is a good prime, then lifting (5) to /𝔭k\mathbb{Z}/\mathfrak{p}^{k}\mathbb{Z} for kk\in\mathbb{N} implies

#{i/𝔭k:i(𝔭k)}ϵ𝔭k1+ϵ\#\left\{i\in\mathbb{Z}/\mathfrak{p}^{k}\mathbb{Z}:\mathcal{R}_{i(\mathfrak{p}^{k})}\not=\emptyset\right\}\lesssim_{\epsilon}\mathfrak{p}^{k-1+\epsilon}

for any ϵ>0\epsilon>0. Using the Chinese Remainder Theorem, we extend this to moduli qq composed only of good primes; that is, if 𝔭|q\mathfrak{p}|q, then 𝔭𝔓good\mathfrak{p}\in\mathfrak{P}_{good}. Let v𝔭(q)v_{\mathfrak{p}}(q) denote the precise power of the prime 𝔭\mathfrak{p} dividing qq. If qq is composed only of good primes, then

(30) #{i/q:i(q)}𝔭|q#{r2mod𝔭v𝔭(q):r}ϵ𝔭|q𝔭v𝔭(q)1+ϵϵqϵφ(q)\#\left\{i\in\mathbb{Z}/q\mathbb{Z}:\mathcal{R}_{i(q)}\not=\emptyset\right\}\leq\prod_{\mathfrak{p}|q}\#\left\{r^{2}\mod\mathfrak{p}^{v_{\mathfrak{p}}(q)}:r\in\mathcal{R}\right\}\lesssim_{\epsilon}\prod_{\mathfrak{p}|q}\mathfrak{p}^{v_{\mathfrak{p}}(q)-1+\epsilon}\lesssim_{\epsilon}q^{\epsilon}\cdot\varphi(q)

for any ϵ>0\epsilon>0.

For a modulus qq, write q=qgoodqbadq=q_{good}\cdot q_{bad} where qgoodq_{good} is composed only of good primes while qbadq_{bad} is composed only of bad primes (qbadq_{bad} is composed of bad primes if 𝔭|qbad\mathfrak{p}|q_{bad} implies 𝔭𝔓bad\mathfrak{p}\in\mathfrak{P}_{bad}). In the case that a prime is both good and bad, we regard it as a bad prime in the following estimate. Now (27) of Proposition 3.4, the Weil bound for Kloosterman multipliers (25) and (30) imply that,

supr|Crf|pp\displaystyle\left\Arrowvert\sup_{r\in\mathcal{R}}\lvert C_{r}f\rvert\right\Arrowvert_{p\to p} qqbad1d/p#{i/q:i(q)}supi/q{Uri1,qpp}\displaystyle\lesssim\sum_{q\in\mathbb{N}}q_{bad}^{1-d/p^{\prime}}\cdot\#\left\{i\in\mathbb{Z}/q\mathbb{Z}:\mathcal{R}_{i(q)}\not=\emptyset\right\}\cdot\sup_{i\in\mathbb{Z}/q\mathbb{Z}}\left\{\left\Arrowvert U^{1,q}_{r_{i}}\right\Arrowvert_{p\to p}\right\}
q(φ(qgood)2/pqgoodϵd1pqbad1dp)\displaystyle\lesssim\sum_{q\in\mathbb{N}}\left(\varphi(q_{good})^{{2}/{p}}\cdot{q_{good}}^{\epsilon-\frac{d-1}{p^{\prime}}}\cdot q_{bad}^{1-\frac{d}{p^{\prime}}}\right)
=𝔭𝔓good(1+𝔭12p+ϵk𝔭k(2p1d1p))𝔭𝔓bad(1+k𝔭k(1dp))\displaystyle=\prod_{\mathfrak{p}\in\mathfrak{P}_{good}}\left(1+\mathfrak{p}^{1-\frac{2}{p}+\epsilon}\sum_{k\in\mathbb{N}}\mathfrak{p}^{k(\frac{2}{p}-1-\frac{d-1}{p^{\prime}})}\right)\cdot\prod_{\mathfrak{p}\in\mathfrak{P}_{bad}}\left(1+\sum_{k\in\mathbb{N}}\mathfrak{p}^{k(1-\frac{d}{p^{\prime}})}\right)
p[𝔭𝔓good(1+𝔭ϵd1p)][𝔭𝔓bad(1+𝔭1dp)]\displaystyle\lesssim_{p}\left[\prod_{\mathfrak{p}\in\mathfrak{P}_{good}}\left(1+\mathfrak{p}^{\epsilon-\frac{d-1}{p^{\prime}}}\right)\right]\cdot\left[\prod_{\mathfrak{p}\in\mathfrak{P}_{bad}}\left(1+\mathfrak{p}^{1-\frac{d}{p^{\prime}}}\right)\right]
<ζ(d1pϵ)𝔭𝔓bad(1+𝔭1dp)\displaystyle<\zeta\left(\frac{d-1}{p^{\prime}}-\epsilon\right)\cdot\prod_{\mathfrak{p}\in\mathfrak{P}_{bad}}\left(1+\mathfrak{p}^{1-\frac{d}{p^{\prime}}}\right)

for all sufficiently small ϵ>0\epsilon>0. The third inequality is true provided that 2p1d1p<0\frac{2}{p}-1-\frac{d-1}{p^{\prime}}<0 and 1d1p<01-\frac{d-1}{p^{\prime}}<0; this is equivalent to p>d1d2p>\frac{d-1}{d-2}. The zeta–function converges for small enough ϵ>0\epsilon>0 if and only if d1p>1\frac{d-1}{p^{\prime}}>1. Unravelling this condition yields that we again require p>d1d2p>\frac{d-1}{d-2}. The second factor in the final inequality is bounded precisely when 𝔭𝔓bad𝔭1dp<.\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{1-\frac{d}{p^{\prime}}}<\infty. By assumption (6), we assume that 𝔭𝔓bad𝔭s<\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{-s}<\infty for some s(0,1]s\in(0,1]. Taking 1d/ps1-d/p^{\prime}\leq-s, we require pdd(1+s).p\geq\frac{d}{d-(1+s)}.

4. The error term

In this section we handle the error term. In particular we show that over an arbitrary lacunary subsequence, we can bound the error term on p\ell^{p} for d1d2<p2\frac{d-1}{d-2}<p\leq 2. Before doing so, we prove a weaker bound that does not make use of cancellation in averages of Ramanujan sums, but is simpler, and suffices for Corollary 1.1.

4.1. Preliminary bound for the error term

In this section, we will bound the error term using the improved bound (11) in the Kloosterman refinement of our operators and a simple bound on 1(d)\ell^{1}(\mathbb{Z}^{d}) for the operators CrqC^{q}_{r}.

Lemma 4.1.

Let d4d\geq 4. Suppose that \mathcal{R} is a lacunary sequence. Then for d+1d1<p2\frac{d+1}{d-1}<p\leq 2,

(31) supr|Erf|p(d)pfp(d).\left\|\sup_{r\in\mathcal{R}}\lvert{E}_{r}f\rvert\right\|_{\ell^{p}(\mathbb{Z}^{d})}\lesssim_{p}\left\|f\right\|_{\ell^{p}(\mathbb{Z}^{d})}.

The proof for 2\ell^{2} is standard: bound the sup by a square function and apply the Kloosterman refinement of (11). To obtain our range of pp, we will need a suitable bound on 1(d)\ell^{1}(\mathbb{Z}^{d}). For this we have the following proposition.

Proposition 4.1.

For any modulus qq\in\mathbb{N},

(32) Crqf1,(d)rφ(q)qf1(d).\left\|C^{q}_{r}f\right\|_{\ell^{1,\infty}(\mathbb{Z}^{d})}\lesssim\frac{r\cdot\varphi(q)}{q}\left\|f\right\|_{\ell^{1}(\mathbb{Z}^{d})}.

Here and throughout, φ\varphi denotes Euler’s totient function. With this bound, we can prove Lemma 4.1.

Proof of Lemma 4.1.

For 2(d)\ell^{2}(\mathbb{Z}^{d}) we have Er^(ξ)(d)rδ\left\|\widehat{{E}_{r}}(\xi)\right\|_{\ell^{\infty}(\mathbb{Z}^{d})}\lesssim r^{-\delta} by (11) for all δ<d32\delta<\frac{d-3}{2}. On 1(d)\ell^{1}(\mathbb{Z}^{d}) Proposition 4.1 implies that Crqf1,(d)rf1(d)\left\|C^{q}_{r}f\right\|_{\ell^{1,\infty}(\mathbb{Z}^{d})}\lesssim r\left\|f\right\|_{\ell^{1}(\mathbb{Z}^{d})} so that

(33) q=1rCrqf1,(d)r2f1(d)\left\|\sum_{q=1}^{r}C^{q}_{r}f\right\|_{\ell^{1,\infty}(\mathbb{Z}^{d})}\lesssim r^{2}\left\|f\right\|_{\ell^{1}(\mathbb{Z}^{d})}

while Ar1(d)1\left\|A_{r}\right\|_{\ell^{1}(\mathbb{Z}^{d})}\lesssim 1 for each rr so that Erf1,(d)r2f1(d)\left\|{E}_{r}f\right\|_{\ell^{1,\infty}(\mathbb{Z}^{d})}\lesssim r^{2}\left\|f\right\|_{\ell^{1}(\mathbb{Z}^{d})}. By interpolation, for 1<p21<p\leq 2,

Erfp(d)r2(2p1)rδ(22p)=r2p(2+δ)2(1+δ)fp(d).\left\|{E}_{r}f\right\|_{\ell^{p}(\mathbb{Z}^{d})}\lesssim r^{2(\frac{2}{p}-1)}\cdot r^{-\delta(2-\frac{2}{p})}=r^{\frac{2}{p}(2+\delta)-2(1+\delta)}\left\|f\right\|_{\ell^{p}(\mathbb{Z}^{d})}.

2p(2+δ)2(1+δ)<0\frac{2}{p}(2+\delta)-2(1+\delta)<0 if and only p>2+δ1+δp>\frac{2+\delta}{1+\delta}. This holds for all δ<d32\delta<\frac{d-3}{2} which gives p>d+1d1p>\frac{d+1}{d-1}. Sum over a lacunary set in this range of pp to obtain (31). ∎

Remark 4.1.

The best known bound for δ\delta is all δ<d32\delta<\frac{d-3}{2} by Magyar’s version of Heath-Brown’s Kloosterman refinement in [Mag07]. Due to the existence of cusp forms, this is the best one can expect.

We are left to prove Proposition 4.1. We use the structure of the kernel to prove a weak-type bound.

Proof of Proposition 4.1.

For t>0t>0, let Dilt\operatorname{Dil}_{t} be the operator Diltf(x)=f(tx)\operatorname{Dil}_{t}f(x)=f(tx). Since

Crq^(ξ)=mdK(q,r2,m)DilqΨ(ξx/q)dσr~(qξx),\widehat{C^{q}_{r}}(\xi)=\sum_{m\in\mathbb{Z}^{d}}K(q,r^{2},m)\operatorname{Dil}_{q}\Psi(\xi-x/q)\widetilde{d\sigma_{r}}(q\xi-x),

one can calculate the kernel KrqK^{q}_{r} for the multiplier Crq^\widehat{C^{q}_{r}} and xdx\in\mathbb{R}^{d},

(34) Krq(x)=a(/q)×e(a(r2|x|2)q)rdDilq/rΨ~dσ(x/r).K^{q}_{r}(x)=\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(\frac{a(r^{2}-\lvert x\rvert^{2})}{q}\right)\cdot r^{-d}\widetilde{\operatorname{Dil}_{q/r}\Psi}*{d\sigma}(x/r).

A standard argument – see [Ion04] – shows

Dilq/rΨ~dσ(x)(q/r)1(1+|x|)2d.\widetilde{\operatorname{Dil}_{q/r}\Psi}*{d\sigma}(x)\lesssim(q/r)^{-1}(1+\lvert x\rvert)^{-2d}.

Then

|Krq(x)|r1d(1+|x/r|)2d.\lvert K^{q}_{r}(x)\rvert\lesssim r^{1-d}\left(1+\lvert x/r\rvert\right)^{-2d}.

rd(1+|x/r|)2dr^{-d}\left(1+\lvert x/r\rvert\right)^{-2d} is an approximation to the identity which implies (32) by the Magyar–Stein–Wainger transference principle. ∎

4.2. The Ramanujan bound for the error term

In this section we improve the bound (32) for the error term Er{E}_{r}. The following lemma concludes the proof of Theorem 1.

Lemma 4.2.

Let d4d\geq 4. If \mathcal{R} forms a lacunary sequence , then for d1d2<p2\frac{d-1}{d-2}<p\leq 2,

(35) supr|Erf|p(d)pfp(d).\left\|\sup_{r\in\mathcal{R}}\lvert{E}_{r}f\rvert\right\|_{\ell^{p}(\mathbb{Z}^{d})}\lesssim_{p}\left\|f\right\|_{\ell^{p}(\mathbb{Z}^{d})}.

The strategy is the same as in Lemma 4.1 but we improve the bound on 1(d)\ell^{1}(\mathbb{Z}^{d}) to the following.

Proposition 4.2.

For rfullr\in\mathcal{R}_{full} and all ϵ>0\epsilon>0, we have

(36) q=1rCrqf1,(d)ϵr1+ϵf1(d).\left\|\sum_{q=1}^{r}C^{q}_{r}f\right\|_{\ell^{1,\infty}(\mathbb{Z}^{d})}\lesssim_{\epsilon}r^{1+\epsilon}\left\|f\right\|_{\ell^{1}(\mathbb{Z}^{d})}.

The sums

(37) cq(N):=a(/q)×e(aNq)c_{q}(N):=\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(\frac{aN}{q}\right)

are known as Ramanujan sums and clearly satisfy the bound |cq(N)|ϕ(q)\lvert c_{q}(N)\rvert\leq\phi(q) for all NN. However, there is an improved bound on average – see (3.44) on page 126 of [Bou93]:

(38) Qq<2Q|cq(N)|=Qq<2Q|a(/q)×e(aNq)|Qd(N,Q)\sum_{Q\leq q<2Q}\lvert c_{q}(N)\rvert=\sum_{Q\leq q<2Q}\lvert\sum_{a\in(\mathbb{Z}/q\mathbb{Z})^{\times}}e\left(\frac{aN}{q}\right)\rvert\lesssim Q\cdot d(N,Q)

where d(N,Q)d(N,Q) is the number of divisors of NN up to QQ. Therefore we can bound the above average of Ramanujan sums, (38) by ϵQNϵ\lesssim_{\epsilon}Q\cdot N^{\epsilon} for all ϵ>0\epsilon>0; that is, with a “log-loss”. Using the improved average bound for Ramanujan sums, we improve (32) to (36).

Proof of Proposition 4.2.

Again, for t>0t>0, let Dilt\operatorname{Dil}_{t} be the operator Diltf(x)=f(tx)\operatorname{Dil}_{t}f(x)=f(tx). We rewrite (34) as

(39) Krq(x)=cq(r2|x|2)rdDilq/rΨ~dσ(x/r)K^{q}_{r}(x)=c_{q}(r^{2}-\lvert x\rvert^{2})\cdot r^{-d}\widetilde{\operatorname{Dil}_{q/r}\Psi}*{d\sigma}(x/r)

By the Magyar–Stein–Wainger transference principle, (36) will follow from proving the pointwise bound for all xdx\in\mathbb{R}^{d} and any ϵ>0\epsilon>0,

(40) |q=1rKrq(x)|ϵr1+ϵd(1+|x/r|)2d.\lvert\sum_{q=1}^{r}K^{q}_{r}(x)\rvert\lesssim_{\epsilon}r^{1+\epsilon-d}\left(1+\lvert x/r\rvert\right)^{-2d}.

From

(41) Krq(x)=cq(r2|x|2)DilqΨ~dσr(x),K^{q}_{r}(x)=c_{q}(r^{2}-\lvert x\rvert^{2})\cdot\widetilde{\operatorname{Dil}_{q}\Psi}*{d\sigma_{r}}(x),

we easily see

(42) q=1rKrq(x)=[q=1rcq(r2|x|2)DilqΨ~]dσr(x).\sum_{q=1}^{r}K^{q}_{r}(x)=\left[\sum_{q=1}^{r}c_{q}(r^{2}-\lvert x\rvert^{2})\cdot\widetilde{\operatorname{Dil}_{q}\Psi}\right]*{d\sigma_{r}}(x).

Note that DilqΨ\operatorname{Dil}_{q}\Psi is supported in [1/4q,1/4q]d[-1/4q,1/4q]^{d} for each 1qr1\leq q\leq r. Using an appropriate partition of unity for each DilqΨ\operatorname{Dil}_{q}\Psi, we are able to sum over qrq\leq r and use (38) to obtain (40). ∎

5. Proof of Theorem 2

Fix w>1w>1 a real number. In this section we prove Theorem 2 for the collection of radii

:={rj+:rj2=1+ih(j)𝔭i}\mathcal{R}:=\left\{r_{j}\in\mathbb{R}^{+}:r_{j}^{2}=1+\prod_{i\leq h(j)}\mathfrak{p}_{i}\right\}

where h(j):=2jwh(j):=2^{j^{w}}. The proof for the remaining sequences in Theorem 2 is similar, but notationally cumbersome.

Let 𝔓\mathfrak{P} denote the set of primes in \mathbb{N}. We split the primes into bad primes and good primes as follows. Let the bad primes 𝔓bad\mathfrak{P}_{bad} be the set of primes dividing rj2r_{j}^{2} for some radius rjr_{j}\in\mathcal{R} together with the prime 2. Let the good primes 𝔓good:=𝔓𝔓bad\mathfrak{P}_{good}:=\mathfrak{P}\setminus\mathfrak{P}_{bad} be the remaining primes. We enumerate the primes so that 𝔭n\mathfrak{p}_{n} denotes the nthn^{th} prime. The Prime Number Theorem says that 𝔭nnlogn\mathfrak{p}_{n}\sim n\log n as nn\to\infty.

If 𝔭\mathfrak{p} is a prime, then choose JJ such that 𝔭h(J)𝔭<𝔭h(J+1)\mathfrak{p}_{h(J)}\leq\mathfrak{p}<\mathfrak{p}_{h(J+1)}. If j>Jj>J, then rj21mod𝔭r_{j}^{2}\equiv 1\mod\mathfrak{p}, and

#{i/𝔭:i(𝔭)}J+1Jwlog𝔭\#\left\{i\in\mathbb{Z}/\mathfrak{p}\mathbb{Z}:\mathcal{R}_{i(\mathfrak{p})}\not=\emptyset\right\}\leq J+1\lesssim J^{w}\lesssim\log\mathfrak{p}

where the last inequality follows from the Prime Number Theorem, with an implicit constant that is independent of the prime 𝔭\mathfrak{p}. The last inequality is explained as follows. By the prime number theorem, 𝔭2Jw2Jwlog2Jw2JwJw\mathfrak{p}_{2^{J^{w}}}\eqsim 2^{J^{w}}\cdot\log{2^{J^{w}}}\eqsim 2^{J^{w}}\cdot{J^{w}}. This implies that log𝔭2JwJw+wlogJJw\log\mathfrak{p}_{2^{J^{w}}}\eqsim{J^{w}}+w\log J\eqsim J^{w} so that J<Jwlog𝔭J<J^{w}\lesssim\log\mathfrak{p}. These estimates hold for every prime; in particular, they hold for the good primes.

An essential point is that there are few bad primes for our sequence; this is quantified by the following bound:

(43) 𝔭𝔓bad𝔭1j=1h(j)𝔭h(j)1j=1h(j)[h(j)logh(j)]1=j=1[logh(j)]1.\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{-1}\leq\sum_{j=1}^{\infty}h(j)\cdot\mathfrak{p}_{h(j)}^{-1}\lesssim\sum_{j=1}^{\infty}h(j)\left[h(j)\log h(j)\right]^{-1}=\sum_{j=1}^{\infty}\left[\log h(j)\right]^{-1}.

The first inequality is true since each prime dividing rjr_{j} is at least of size 𝔭h(j)\mathfrak{p}_{h(j)} and there are at most h(j)h(j) prime divisors, and the last inequality follows from the Prime Number Theorem which says 𝔭nnlogn\mathfrak{p}_{n}\eqsim n\log n. Since h(j)=2jwh(j)=2^{j^{w}} for some w>1w>1, (43) converges.

6. Concluding remarks and open questions

Question 6.1.

Estimate (43) of the Dirichlet series 𝔭𝔓bad𝔭s\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{-s} is rather crude. Improving this estimate would improve our range of p(d)\ell^{p}(\mathbb{Z}^{d})-spaces, potentially to p>d1d2p>\frac{d-1}{d-2} . The author is unaware of any investigations of our Dirichlet series in the literature. Does 𝔭𝔓bad𝔭s\sum_{\mathfrak{p}\in\mathfrak{P}_{bad}}\mathfrak{p}^{-s} converge for some s(0,1)s\in(0,1) for sequences related to Theorem 2?

Question 6.2.

Can we prove (43) where h(j)h(j) grows more slowly such as h(j):=jh(j):=j?

Remark 6.1.

In section 1.3, we mentioned that J. Zienkiewicz showed that Conjecture 1 fails in general. More generally, one can show that if (5) is violated for infinitely many primes, then AfA_{\mathcal{R}}^{*}f is unbounded on p(d)\ell^{p}(\mathbb{Z}^{d}) for pp close to 1 and d5d\geq 5. We revise Conjecture 1 to take into account this obstruction.

Conjecture 2.

For d5d\geq 5, if \mathcal{R} is a lacunary subsequence of full\mathcal{R}_{full} such that (5) holds for all but finitely primes 𝔭\mathfrak{p}, then A:1(d)1,(d)A_{\mathcal{R}}^{*}:\ell^{1}(\mathbb{Z}^{d})\to\ell^{1,\infty}(\mathbb{Z}^{d}). The same is true if d=4d=4 and 2 is a good prime.

Question 6.3.

There is an elegant characterization of the Lp(d)L^{p}(\mathbb{R}^{d})-boundedness of the continuous spherical maximal function over subsequences of +\mathbb{R}^{+} in [SWW95]. Is there such a characterization for the discrete spherical averages? Zienkiewicz’s result shows that any such characterization must also account for arithmetic phenomena.


Acknowledgements

The author would like to thank Lillian Pierce for discussions on the arithmetic lacunary spherical maximal function and for pointing out a critical mistake in a previous version of this paper, and his advisor, Elias Stein, for introducing him to the problem. The author would also like to thank Roger Heath-Brown for a discussion on the limitations of the circle method, Peter Sarnak for discussions regarding Kloosterman sums and Jim Wright for explaining aspects of the continuous lacunary spherical maximal function. And a special thanks to Lutz Helfrich, James Maynard and Kaisa Matomäki at the Hausdorff Center for Mathematics’s ENFANT and ELEFANT conferences in July 2014 for pointing out the family of sequences used in Theorem 2.


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