I’ve just uploaded to the arXiv my paper The Ionescu-Wainger multiplier theorem and the adeles“. This paper revisits a useful multiplier theorem of Ionescu and Wainger on “major arc” Fourier multiplier operators on the integers (or lattices ), and strengthens the bounds while also interpreting it from the viewpoint of the adelic integers (which were also used in my recent paper with Krause and Mirek).

For simplicity let us just work in one dimension. Any smooth function then defines a discrete Fourier multiplier operator for any by the formula

where

is the Fourier transform on

; similarly, any test function

defines a continuous Fourier multiplier operator

by the formula

where

. In both cases we refer to

as the

*symbol* of the multiplier operator

.

We will be interested in discrete Fourier multiplier operators whose symbols are supported on a finite union of arcs. One way to construct such operators is by “folding” continuous Fourier multiplier operators into various target frequencies. To make this folding operation precise, given any continuous Fourier multiplier operator , and any frequency , we define the discrete Fourier multiplier operator for any frequency shift by the formula

or equivalently

More generally, given any finite set

, we can form a multifrequency projection operator

on

by the formula

thus

This construction gives discrete Fourier multiplier operators whose symbol can be localised to a finite union of arcs. For instance, if

is supported on

, then

is a Fourier multiplier whose symbol is supported on the set

.

There are a body of results relating the theory of discrete Fourier multiplier operators such as or with the theory of their continuous counterparts. For instance we have the basic result of Magyar, Stein, and Wainger:

**Proposition 1 (Magyar-Stein-Wainger sampling principle)** Let and .
- (i) If is a smooth function supported in , then , where denotes the operator norm of an operator .
- (ii) More generally, if is a smooth function supported in for some natural number , then .

When the implied constant in these bounds can be set to equal . In the paper of Magyar, Stein, and Wainger it was posed as an open problem as to whether this is the case for other ; in an appendix to this paper I show that the answer is negative if is sufficiently close to or , but I do not know the full answer to this question.

This proposition allows one to get a good multiplier theory for symbols supported near cyclic groups ; for instance it shows that a discrete Fourier multiplier with symbol for a fixed test function is bounded on , uniformly in and . For many applications in discrete harmonic analysis, one would similarly like a good multiplier theory for symbols supported in “major arc” sets such as

and in particular to get a good Littlewood-Paley theory adapted to major arcs. (This is particularly the case when trying to control “true complexity zero” expressions for which the minor arc contributions can be shown to be negligible;

my recent paper with Krause and Mirek is focused on expressions of this type.) At present we do not have a good multiplier theory that is directly adapted to the classical major arc set

(1) (though I do not know of rigorous negative results that show that such a theory is not possible); however,

Ionescu and Wainger were able to obtain a useful substitute theory in which

(1) was replaced by a somewhat larger set that had better multiplier behaviour. Starting with a finite collection

of pairwise coprime natural numbers, and a natural number

, one can form the major arc type set

where

consists of all rational points in the unit circle of the form

where

is the product of at most

elements from

and

is an integer. For suitable choices of

and

not too large, one can make this set

(2) contain the set

(1) while still having a somewhat controlled size (very roughly speaking, one chooses

to consist of (small powers of) large primes between

and

for some small constant

, together with something like the product of all the primes up to

(raised to suitable powers)).

In the regime where is fixed and is small, there is a good theory:

**Theorem 2 (Ionescu-Wainger theorem, rough version)** If is an even integer or the dual of an even integer, and is supported on for a sufficiently small , then

There is a more explicit description of how small needs to be for this theorem to work (roughly speaking, it is not much more than what is needed for all the arcs in (2) to be disjoint), but we will not give it here. The logarithmic loss of was reduced to by Mirek. In this paper we refine the bound further to

when

or

for some integer

. In particular there is no longer any logarithmic loss in the cardinality of the set

.

The proof of (3) follows a similar strategy as to previous proofs of Ionescu-Wainger type. By duality we may assume . We use the following standard sequence of steps:

- (i) (Denominator orthogonality) First one splits into various pieces depending on the denominator appearing in the element of , and exploits “superorthogonality” in to estimate the norm by the norm of an appropriate square function.
- (ii) (Nonconcentration) One expands out the power of the square function and estimates it by a “nonconcentrated” version in which various factors that arise in the expansion are “disjoint”.
- (iii) (Numerator orthogonality) We now decompose based on the numerators appearing in the relevant elements of , and exploit some residual orthogonality in this parameter to reduce to estimating a square-function type expression involving sums over various cosets .
- (iv) (Marcinkiewicz-Zygmund) One uses the Marcinkiewicz-Zygmund theorem relating scalar and vector valued operator norms to eliminate the role of the multiplier .
- (v) (Rubio de Francia) Use a reverse square function estimate of Rubio de Francia type to conclude.

The main innovations are that of using the probabilistic decoupling method to remove some logarithmic losses in (i), and recent progress on the Erdos-Rado sunflower conjecture (as discussed in this recent post) to improve the bounds in (ii). For (i), the key point is that one can express a sum such as

where

is the set of

-element subsets of an index set

, and

are various complex numbers, as an average

where

is a random partition of

into

subclasses (chosen uniformly over all such partitions), basically because every

-element subset

of

has a probability exactly

of being completely shattered by such a random partition. This “decouples” the index set

into a Cartesian product

which is more convenient for application of the superorthogonality theory. For (ii), the point is to efficiently obtain estimates of the form

where

are various non-negative quantities, and a

sunflower is a collection of sets

that consist of a common “core”

and disjoint “petals”

. The other parts of the argument are relatively routine; see for instance

this survey of Pierce for a discussion of them in the simple case

.

In this paper we interpret the Ionescu-Wainger multiplier theorem as being essentially a consequence of various quantitative versions of the Shannon sampling theorem. Recall that this theorem asserts that if a (Schwartz) function has its Fourier transform supported on , then can be recovered uniquely from its restriction . In fact, as can be shown from a little bit of routine Fourier analysis, if we narrow the support of the Fourier transform slightly to for some , then the restriction has the same behaviour as the original function, in the sense that

for all

; see Theorem 4.18 of

this paper of myself with Krause and Mirek. This is consistent with the uncertainty principle, which suggests that such functions

should behave like a constant at scales

.

The quantitative sampling theorem (4) can be used to give an alternate proof of Proposition 1(i), basically thanks to the identity

whenever

is Schwartz and has Fourier transform supported in

, and

is also supported on

; this identity can be easily verified from the Poisson summation formula. A variant of this argument also yields an alternate proof of Proposition

1(ii), where the role of

is now played by

, and the standard embedding of

into

is now replaced by the embedding

of

into

; the analogue of

(4) is now

whenever

is Schwartz and has Fourier transform

supported in

, and

is endowed with probability Haar measure.

The locally compact abelian groups and can all be viewed as projections of the adelic integers (the product of the reals and the profinite integers ). By using the Ionescu-Wainger multiplier theorem, we are able to obtain an adelic version of the quantitative sampling estimate (5), namely

whenever

,

is

Schwartz-Bruhat and has Fourier transform

supported on

for some sufficiently small

(the precise bound on

depends on

in a fashion not detailed here). This allows one obtain an “adelic” extension of the Ionescu-Wainger multiplier theorem, in which the

operator norm of any discrete multiplier operator whose symbol is supported on major arcs can be shown to be comparable to the

operator norm of an adelic counterpart to that multiplier operator; in principle this reduces “major arc” harmonic analysis on the integers

to “low frequency” harmonic analysis on the adelic integers

, which is a simpler setting in many ways (mostly because the set of major arcs

(2) is now replaced with a product set

).

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