The equidistribution theorem asserts that if is an irrational phase, then the sequence
is equidistributed on the unit circle, or equivalently that
for any continuous (or equivalently, for any smooth) function . By approximating
uniformly by a Fourier series, this claim is equivalent to that of showing that
for any non-zero integer (where
), which is easily verified from the irrationality of
and the geometric series formula. Conversely, if
is rational, then clearly
fails to go to zero when
is a multiple of the denominator of
.
One can then ask for more quantitative information about the decay of exponential sums of , or more generally on exponential sums of the form
for an arithmetic progression
(in this post all progressions are understood to be finite) and a polynomial
. It will be convenient to phrase such information in the form of an inverse theorem, describing those phases for which the exponential sum is large. Indeed, we have
Lemma 1 (Geometric series formula, inverse form) Let
be an arithmetic progression of length at most
for some
, and let
be a linear polynomial for some
. If
for some
, then there exists a subprogression
of
of size
such that
varies by at most
on
(that is to say,
lies in a subinterval of
of length at most
).
Proof: By a linear change of variable we may assume that is of the form
for some
. We may of course assume that
is non-zero in
, so that
(
denotes the distance from
to the nearest integer). From the geometric series formula we see that
and so . Setting
for some sufficiently small absolute constant
, we obtain the claim.
Thus, in order for a linear phase to fail to be equidistributed on some long progression
,
must in fact be almost constant on large piece of
.
As is well known, this phenomenon generalises to higher order polynomials. To achieve this, we need two elementary additional lemmas. The first relates the exponential sums of to the exponential sums of its “first derivatives”
.
Lemma 2 (Van der Corput lemma, inverse form) Let
be an arithmetic progression of length at most
, and let
be an arbitrary function such that
for some
. Then, for
integers
, there exists a subprogression
of
, of the same spacing as
, such that
Proof: Squaring (1), we see that
We write and conclude that
where is a subprogression of
of the same spacing. Since
, we conclude that
for values of
(this can be seen, much like the pigeonhole principle, by arguing via contradiction for a suitable choice of implied constants). The claim follows.
The second lemma (which we recycle from this previous blog post) is a variant of the equidistribution theorem.
Lemma 3 (Vinogradov lemma) Let
be an interval for some
, and let
be such that
for at least
values of
, for some
. Then either
or
or else there is a natural number
such that
Proof: We may assume that and
, since we are done otherwise. Then there are at least two
with
, and by the pigeonhole principle we can find
in
with
and
. By the triangle inequality, we conclude that there exists at least one natural number
for which
We take to be minimal amongst all such natural numbers, then we see that there exists
coprime to
and
such that
If then we are done, so suppose that
. Suppose that
are elements of
such that
and
. Writing
for some
, we have
By hypothesis, ; note that as
and
we also have
. This implies that
and thus
. We then have
We conclude that for fixed with
, there are at most
elements
of
such that
. Iterating this with a greedy algorithm, we see that the number of
with
is at most
; since
, this implies that
and the claim follows.
Now we can quickly obtain a higher degree version of Lemma 1:
Proposition 4 (Weyl exponential sum estimate, inverse form) Let
be an arithmetic progression of length at most
for some
, and let
be a polynomial of some degree at most
. If
for some
, then there exists a subprogression
of
with
such that
varies by at most
on
.
Proof: We induct on . The cases
are immediate from Lemma 1. Now suppose that
, and that the claim had already been proven for
. To simplify the notation we allow implied constants to depend on
. Let the hypotheses be as in the proposition. Clearly
cannot exceed
. By shrinking
as necessary we may assume that
for some sufficiently small constant
depending on
.
By rescaling we may assume . By Lemma 3, we see that for
choices of
such that
for some interval . We write
, then
is a polynomial of degree at most
with leading coefficient
. We conclude from induction hypothesis that for each such
, there exists a natural number
such that
, by double-counting, this implies that there are
integers
in the interval
such that
. Applying Lemma 3, we conclude that either
, or that
In the former case the claim is trivial (just take to be a point), so we may assume that we are in the latter case.
We partition into arithmetic progressions
of spacing
and length comparable to
for some large
depending on
to be chosen later. By hypothesis, we have
so by the pigeonhole principle, we have
for at least one such progression . On this progression, we may use the binomial theorem and (4) to write
as a polynomial in
of degree at most
, plus an error of size
. We thus can write
for
for some polynomial
of degree at most
. By the triangle inequality, we thus have (for
large enough) that
and hence by induction hypothesis we may find a subprogression of
of size
such that
varies by most
on
, and thus (for
large enough again) that
varies by at most
on
, and the claim follows.
This gives the following corollary (also given as Exercise 16 in this previous blog post):
Corollary 5 (Weyl exponential sum estimate, inverse form II) Let
be a discrete interval for some
, and let
polynomial of some degree at most
for some
. If
for some
, then there is a natural number
such that
for all
.
One can obtain much better exponents here using Vinogradov’s mean value theorem; see Theorem 1.6 this paper of Wooley. (Thanks to Mariusz Mirek for this reference.) However, this weaker result already suffices for many applications, and does not need any result as deep as the mean value theorem.
Proof: To simplify notation we allow implied constants to depend on . As before, we may assume that
for some small constant
depending only on
. We may also assume that
for some large
, as the claim is trivial otherwise (set
).
Applying Proposition 4, we can find a natural number and an arithmetic subprogression
of
such that
and such that
varies by at most
on
. Writing
for some interval
of length
and some
, we conclude that the polynomial
varies by at most
on
. Taking
order differences, we conclude that the
coefficient of this polynomial is
; by the binomial theorem, this implies that
differs by at most
on
from a polynomial of degree at most
. Iterating this, we conclude that the
coefficient of
is
for
, and the claim then follows by inverting the change of variables
(and replacing
with a larger quantity such as
as necessary).
For future reference we also record a higher degree version of the Vinogradov lemma.
Lemma 6 (Polynomial Vinogradov lemma) Let
be a discrete interval for some
, and let
be a polynomial
of degree at most
for some
such that
for at least
values of
, for some
. Then either
or else there is a natural number
such that
for all
.
Proof: We induct on . For
this follows from Lemma 3 (noting that if
then
), so suppose that
and that the claim is already proven for
. We now allow all implied constants to depend on
.
For each , let
denote the number of
such that
. By hypothesis,
, and clearly
, so we must have
for
choices of
. For each such
, we then have
for
choices of
, so by induction hypothesis, either (5) or (6) holds, or else for
choices of
, there is a natural number
such that
for , where
are the coefficients of the degree
polynomial
. We may of course assume it is the latter which holds. By the pigeonhole principle we may take
to be independent of
.
Since , we have
for choices of
, so by Lemma 3, either (5) or (6) holds, or else (after increasing
as necessary) we have
We can again assume it is the latter that holds. This implies that modulo
, so that
for choices of
. Arguing as before and iterating, we obtain the claim.
The above results also extend to higher dimensions. Here is the higher dimensional version of Proposition 4:
Proposition 7 (Multidimensional Weyl exponential sum estimate, inverse form) Let
and
, and let
be arithmetic progressions of length at most
for each
. Let
be a polynomial of degrees at most
in each of the
variables
separately. If
for some
, then there exists a subprogression
of
with
for each
such that
varies by at most
on
.
A much more general statement, in which the polynomial phase is replaced by a nilsequence, and in which one does not necessarily assume the exponential sum is small, is given in Theorem 8.6 of this paper of Ben Green and myself, but it involves far more notation to even state properly.
Proof: We induct on . The case
was established in Proposition 5, so we assume that
and that the claim has already been proven for
. To simplify notation we allow all implied constants to depend on
. We may assume that
for some small
depending only on
.
By a linear change of variables, we may assume that for all
.
We write . First suppose that
. Then by the pigeonhole principle we can find
such that
and the claim then follows from the induction hypothesis. Thus we may assume that for some large
depending only on
. Similarly we may assume that
for all
.
By the triangle inequality, we have
The inner sum is , and the outer sum has
terms. Thus, for
choices of
, one has
for some polynomials of degrees at most
in the variables
. For each
obeying (7), we apply Corollary 5 to conclude that there exists a natural number
such that
for (the claim also holds for
but we discard it as being trivial). By the pigeonhole principle, there thus exists a natural number
such that
for all and for
choices of
. If we write
where is a polynomial of degrees at most
, then for
choices of
we then have
Applying Lemma 6 in the and the largeness hypotheses on the
(and also the assumption that
) we conclude (after enlarging
as necessary, and pigeonholing to keep
independent of
) that
for all (note that we now include that
case, which is no longer trivial) and for
choices of
. Iterating this, we eventually conclude (after enlarging
as necessary) that
whenever for
, with
nonzero. Permuting the indices, and observing that the claim is trivial for
, we in fact obtain (8) for all
, at which point the claim easily follows by taking
for each
.
An inspection of the proof of the above result (or alternatively, by combining the above result again with many applications of Lemma 6) reveals the following general form of Proposition 4, which was posed as Exercise 17 in this previous blog post, but had a slight misprint in it (it did not properly treat the possibility that some of the could be small) and was a bit trickier to prove than anticipated (in fact, the reason for this post was that I was asked to supply a more detailed solution for this exercise):
Proposition 8 (Multidimensional Weyl exponential sum estimate, inverse form, II) Let
be an natural number, and for each
, let
be a discrete interval for some
. Let
be a polynomial in
variables of multidegrees
for some
. If
for some
, or else there is a natural number
such that
Again, the factor of is natural in this bound. In the
case, the option (10) may be deleted since (11) trivially holds in this case, but this simplification is no longer available for
since one needs (10) to hold for all
(not just one
) to make (11) completely trivial. Indeed, the above proposition fails for
if one removes (10) completely, as can be seen for instance by inspecting the exponential sum
, which has size comparable to
regardless of how irrational
is.
9 comments
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6 August, 2015 at 11:05 am
254A, Notes 8: The Hardy-Littlewood circle method and Vinogradov’s theorem | What's new
[…] Show that either one has for some , or else there exists a natural number such that for all . (Note: this is a rather tricky exercise, and is only recommended for students who have mastered the arguments needed to solve the one-dimensional version of this exercise from Exercise 16. A solution is given in this blog post.) […]
6 August, 2015 at 1:30 pm
Will
I think Equation (2) of Lemma 2 is missing the subtraction. It should be P(n+h)-P(n).
[Corrected, thanks – T.]
6 August, 2015 at 11:39 pm
Lior Silberman
In the beginning of the proof of Lemma 1,
should be 
[Corrected, thanks – T.]
7 August, 2015 at 12:25 am
Anonymous
In proposition 8, can (10), (11) be made effective?
7 August, 2015 at 7:53 am
Terence Tao
Yes, all the estimates here are effective, though the explicit constants will be quite poor. To get the best exponents one should probably go through the Vinogradov mean value theorem, as was done in the one-dimensional case in the Wooley reference given in the post, though to my knowledge this argument has not yet been extended to the multidimensional setting.
13 August, 2015 at 8:11 am
Sean Prendiville
There is some history of multidimensional versions of the Vinogradov mean value theorem, an older reference being http://www.ams.org/mathscinet-getitem?mr=608411.
A multidimensional analogue of Wooley’s efficient congruencing method has been developed in http://arxiv.org/pdf/1205.6331 . This yields associated Weyl sum estimates (Theorem 1.3).
15 August, 2015 at 11:47 am
Anonymous
Are there such equidistribution results for more general groups that the circle ? Thanks in advance.
15 August, 2015 at 1:10 pm
Terence Tao
For polynomial orbits in nilmanifolds, this is the main focus of this paper of Ben Green and myself. For orbits of unipotently generated groups on homogeneous spaces, there are the deep theorems of Ratner and later authors that describe the possible ways in which orbits can equidistribute, but most of the theorems are not quantitative (but there is work in this direction, for instance by Einseidler, Margulis, and Venkatesh for actions of semisimple groups). Once one leaves the unipotently generated regime, though, the problem becomes much more difficult (one no longer expects the limiting distribution to be nicely algebraic in general).
16 August, 2015 at 5:47 am
MrCactu5 (@MonsieurCactus)
Here is a slightly more “square” interpretation of the Vinogradov lemma
