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As in all previous posts in this series, we adopt the following asymptotic notation: is a parameter going off to infinity, and all quantities may depend on
unless explicitly declared to be “fixed”. The asymptotic notation
is then defined relative to this parameter. A quantity
is said to be of polynomial size if one has
, and bounded if
. We also write
for
, and
for
.
The purpose of this (rather technical) post is both to roll over the polymath8 research thread from this previous post, and also to record the details of the latest improvement to the Type I estimates (based on exploiting additional averaging and using Deligne’s proof of the Weil conjectures) which lead to a slight improvement in the numerology.
In order to obtain this new Type I estimate, we need to strengthen the previously used properties of “dense divisibility” or “double dense divisibility” as follows.
Definition 1 (Multiple dense divisibility) Let
. For each natural number
, we define a notion of
-tuply
-dense divisibility recursively as follows:
- Every natural number
is
-tuply
-densely divisible.
- If
and
is a natural number, we say that
is
-tuply
-densely divisible if, whenever
are natural numbers with
, and
, one can find a factorisation
with
such that
is
-tuply
-densely divisible and
is
-tuply
-densely divisible.
We let
denote the set of
-tuply
-densely divisible numbers. We abbreviate “
-tuply densely divisible” as “densely divisible”, “
-tuply densely divisible” as “doubly densely divisible”, and so forth; we also abbreviate
as
.
Given any finitely supported sequence and any primitive residue class
, we define the discrepancy
We now recall the key concept of a coefficient sequence, with some slight tweaks in the definitions that are technically convenient for this post.
Definition 2 A coefficient sequence is a finitely supported sequence
that obeys the bounds
for all
, where
is the divisor function.
- (i) A coefficient sequence
is said to be located at scale
for some
if it is supported on an interval of the form
for some
.
- (ii) A coefficient sequence
located at scale
for some
is said to obey the Siegel-Walfisz theorem if one has
for any
, any fixed
, and any primitive residue class
.
- (iii) A coefficient sequence
is said to be smooth at scale
for some
is said to be smooth if it takes the form
for some smooth function
supported on an interval of size
and obeying the derivative bounds
for all fixed
(note that the implied constant in the
notation may depend on
).
Note that we allow sequences to be smooth at scale without being located at scale
; for instance if one arbitrarily translates of a sequence that is both smooth and located at scale
, it will remain smooth at this scale but may not necessarily be located at this scale any more. Note also that we allow the smoothness scale
of a coefficient sequence to be less than one. This is to allow for the following convenient rescaling property: if
is smooth at scale
,
, and
is an integer, then
is smooth at scale
, even if
is less than one.
Now we adapt the Type I estimate to the -tuply densely divisible setting.
Definition 3 (Type I estimates) Let
,
, and
be fixed quantities, and let
be a fixed natural number. We let
be an arbitrary bounded subset of
, let
, and let
a primitive congruence class. We say that
holds if, whenever
are quantities with
for some fixed
, and
are coefficient sequences located at scales
respectively, with
obeying a Siegel-Walfisz theorem, we have
for any fixed
. Here, as in previous posts,
denotes the square-free natural numbers whose prime factors lie in
.
The main theorem of this post is then
Theorem 4 (Improved Type I estimate) We have
whenever
and
In practice, the first condition here is dominant. Except for weakening double dense divisibility to quadruple dense divisibility, this improves upon the previous Type I estimate that established under the stricter hypothesis
As in previous posts, Type I estimates (when combined with existing Type II and Type III estimates) lead to distribution results of Motohashi-Pintz-Zhang type. For any fixed and
, we let
denote the assertion that
for any fixed , any bounded
, and any primitive
, where
is the von Mangoldt function.
Proof: Setting sufficiently close to
, we see from the above theorem that
holds whenever
and
The second condition is implied by the first and can be deleted.
From this previous post we know that (which we define analogously to
from previous sections) holds whenever
while holds with
sufficiently close to
whenever
Again, these conditions are implied by (8). The claim then follows from the Heath-Brown identity and dyadic decomposition as in this previous post.
As before, we let denote the claim that given any admissible
-tuple
, there are infinitely many translates of
that contain at least two primes.
This follows from the Pintz sieve, as discussed below the fold. Combining this with the best known prime tuples, we obtain that there are infinitely many prime gaps of size at most , improving slightly over the previous record of
.
This is one of the continuations of the online reading seminar of Zhang’s paper for the polymath8 project. (There are two other continuations; this previous post, which deals with the combinatorial aspects of the second part of Zhang’s paper, and a post to come that covers the Type III sums.) The main purpose of this post is to present (and hopefully, to improve upon) the treatment of two of the three key estimates in Zhang’s paper, namely the Type I and Type II estimates.
The main estimate was already stated as Theorem 16 in the previous post, but we quickly recall the relevant definitions here. As in other posts, we always take to be a parameter going off to infinity, with the usual asymptotic notation
associated to this parameter.
Definition 1 (Coefficient sequences) A coefficient sequence is a finitely supported sequence
that obeys the bounds
for all
, where
is the divisor function.
- (i) If
is a coefficient sequence and
is a primitive residue class, the (signed) discrepancy
of
in the sequence is defined to be the quantity
- (ii) A coefficient sequence
is said to be at scale
for some
if it is supported on an interval of the form
.
- (iii) A coefficient sequence
at scale
is said to obey the Siegel-Walfisz theorem if one has
for any
, any fixed
, and any primitive residue class
.
- (iv) A coefficient sequence
at scale
is said to be smooth if it takes the form
for some smooth function
supported on
obeying the derivative bounds
for all fixed
(note that the implied constant in the
notation may depend on
).
In Lemma 8 of this previous post we established a collection of “crude estimates” which assert, roughly speaking, that for the purposes of averaged estimates one may ignore the factor in (1) and pretend that
was in fact
. We shall rely frequently on these “crude estimates” without further citation to that precise lemma.
For any , let
denote the square-free numbers whose prime factors lie in
.
Definition 2 (Singleton congruence class system) Let
. A singleton congruence class system on
is a collection
of primitive residue classes
for each
, obeying the Chinese remainder theorem property
whenever
are coprime. We say that such a system
has controlled multiplicity if the
for any fixed
and any congruence class
with
.
The main result of this post is then the following:
Theorem 3 (Type I/II estimate) Let
be fixed quantities such that
and let
be coefficient sequences at scales
respectively with
with
obeying a Siegel-Walfisz theorem. Then for any
and any singleton congruence class system
with controlled multiplicity we have
The proof of this theorem relies on five basic tools:
- (i) the Bombieri-Vinogradov theorem;
- (ii) completion of sums;
- (iii) the Weil conjectures;
- (iv) factorisation of smooth moduli
; and
- (v) the Cauchy-Schwarz and triangle inequalities (Weyl differencing and the dispersion method).
For the purposes of numerics, it is the interplay between (ii), (iii), and (v) that drives the final conditions (7), (8). The Weil conjectures are the primary source of power savings ( for some fixed
) in the argument, but they need to overcome power losses coming from completion of sums, and also each use of Cauchy-Schwarz tends to halve any power savings present in one’s estimates. Naively, one could thus expect to get better estimates by relying more on the Weil conjectures, and less on completion of sums and on Cauchy-Schwarz.
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