Improved ℓp-Boundedness for Integral k-Spherical Maximal Functions

- Department of Mathematics, University of Wisconsin
- More about Theresa C. Anderson

- Department of Mathematics, University of Wisconsin
- More about Brian Cook

- School of Mathematics, University of Bristol
- More about Kevin Hughes

- Department of Mathematics, Towson University
- More about Angel Kumchev

*Discrete Analysis*, May. https://doi.org/10.19086/da.3675.

### Editorial introduction

Improved ℓp-Boundedness for Integral k-Spherical Maximal Functions, Discrete Analysis 2018:10, 18pp.

An important role in harmonic analysis is played by the notion of a *maximal function* (which is actually a non-linear operator on a space of functions). The best-known example is the *Hardy-Littlewood maximal function*, which takes a function f:Rd→C and replaces it by the function Mf:Rd→R, which is defined by the formula

Mf(x)=supr>01|Br(x)|∫Br(x)|f(x)|dx,

where Br(x) is the ball of radius r about x. In other words, Mf is the largest average of |f| over any ball centred at x. Particularly useful are inequalities bounding norms of Mf in terms of norms of f: for example, it is known that if 1<p≤∞, then there is a constant Ap,d such that ‖Mf‖p≤Ap,d‖f‖p for every function f∈Lp(Rd).

This paper concerns discrete maximal functions, where f is now defined on Zd. They are also *spherical* maximal functions, meaning that the averages are over spheres rather than balls. And finally, the spheres are not (necessarily) Euclidean spheres but spheres in ℓdk for more general k than just 2. To be precise, if k is a positive integer, λ is a positive real, and x is a point in Zd, define S(x,k,λ) to be the set {y∈Zd:∑di=1|xi−yi|k=λ}. The authors look at the corresponding maximal function, which takes f to the function Mf defined by

Mf(x)=supS(x,k,λ)≠∅1|S(x,k,λ)|∑y∈S(x,k,λ)|f(y)|.

Their object is to understand, given d and k, for which p this maximal function is bounded: that is, for which p there exists a constant Ap,k,d such that ‖Mf‖p≤Ap,d,k‖f‖p, where ‖.‖p is the ℓp norm for functions defined on Zd. It turns out that the larger the value of p, the easier it is for a maximal function to be bounded (an indication that this is to be expected is that it is trivially bounded when p=∞), so the aim is to prove boundedness with p as small as possible. The authors manage to prove boundedness when p is at least a certain value p0(d,k), which is given by a slightly complicated expression that can be found on the second page of their paper. However, the key point is that p0(d,k)<2 when d is sufficiently large in terms of k, and the “sufficiently large” they require is only quadratic, whereas the previous best known results required d to be at least cubic in k.

Not surprisingly, there are connections between this question and Waring’s problem, since both involve writing an integer as a sum of a certain number of kth powers. In particular, if d is sufficiently large compared with k, good estimates are available for the sizes of the spheres S(x,k,λ), which allow one to replace the maximal function given above by a simpler one that is equivalent (in the sense that it will be bounded for the same set of p).

However, the connections are deeper than this. In particular, the authors make use of the Hardy-Littlewood circle method, and in order to obtain an improvement on earlier results (which also used the circle method), they find an interesting way of exploiting recent breakthroughs by Bourgain, Demeter and Guth, and by Wooley, in the theory of Weyl sums.

As an application of their results, they obtain improved bounds for a closely related problem, the *ergodic Waring–Goldbach problem*, where one considers just points in Zd for which all the coordinates are prime.