Analytic Number Theory Exponent Database

10 Large value additive energy

10.1 Additive energy

Definition 10.1 Additive energy
#

Let W be a finite set of real numbers. The additive energy E1(W) of such a set is defined to be the number of quadruples (t1,t2,t3,t4)W such that

|t1+t2t3t4|1.

We remark that in additive combinatorics, the variant E0(W) of the additive energy is often studied, in which t1+t2t3t4 is not merely required to be 1-bounded, but in fact vanishes exactly. However, this version of additive energy is less relevant for analytic number theory applications.

Lemma 10.2 Basic properties of additive energy
  • If W is a finite set of reals, then

    E1(W)R|#{(t1,t2)W:|t1+t2x|1}|2 dx.

    More generally, for any r>0 we have

    E1(W)rO(1)R|#{(t1,t2)W:|t1+t2x|r}|2 dx.
  • If W is a finite set of reals, then

    E1(W)11|tWe(tθ)|4 dθ.
  • If W1,,Wk are finite sets of reals, then

    E1(W1Wk)1/4E1(W1)1/4++E1(Wk)1/4.
  • If W is 1-separated and contained in an interval of length T1, then

    (#W)2,(#W)4/TE1(W)(#W)3.
  • If W is contained in an interval I, which is in turn split into K equally sized subintervals J1,,JK, then

    E1(W)1/3k=1KE1(WJk)1/3.

Note that the lower bound of (#W)4/T would be expected to be attained if the set W is distributed “randomly” and is reasonably large (of size T). So getting upper bounds of the additive energy of similar strength to this lower bound can be viewed as a statement of “pseudorandomness” (or “Gowers uniformity”) of this set.

Proof

We will also study the following related quantity. Given a set W and a scale N>1, let S(N,W) denote the double zeta sum

S(N,W):=t,tW|n[N,2N]ni(tt)|2.
1

We caution that this normalization differs from the one in [ 110 ] , where n1/2i(tt) is used in place of ni(tt). This sum may also be rearranged as

S(N,W)=n,m[N,2N]|RW(n/m)|2
2

where RW is the exponential sum

RW(x):=tWxit.

From the first formula it is clear that S(N,W) is monotone non-decreasing in W, and from the second formula one has the triangle inequality

S(N,i=1kWi)1/2i=1kS(N,Wi)1/2
3

when the Wi are disjoint, and hence also when they are not assumed to be disjoint, thanks to the monotonicity.

The following Cauchy–Schwarz inequality is also useful:

Lemma 10.3 Cauchy–Schwarz and double ζ-sums

[ 16 , Lemma 3.4 ] If W,W are finite sets of reals, N>1, and an is a 1-bounded sequence for n[N,2N], then

tW,tW|n[N,2N]annit|2S(N,W)1/2S(N,W)1/2.
4

In particular

tW|n[N,2N]annit|2S(N,W).
Proof

To relate S(N,W) to E1(W), we first observe the following lemma, implicit in [ 76 ] and made more explicit in [ 61 , Lemma 11.4 ] .

Lemma 10.4 Energy controlled by third moment

Suppose that (N,T,V,(an)n[N,2N],J,W) is a large value pattern with T1 and 1NTO(1). Then

V2E1(W)To(1)n,m[N,2N]|RW(n/m)|3+T50.
Proof

Thus, S(N,W) involves a second moment of RW, while the energy E1(W) is related to the third moment. Using the trivial bound |RW(x)||W| we can then obtain the trivial bound

V2E1(W)To(1)|W|S(N,W)+T50
5

It is then natural to introduce the fourth moment

S4(N,W):=n,m[N,2N]|RW(n/m)|4

since from Hölder’s inequality one now has

V2E1(W)To(1)S(N,W)1/2S4(N,W)1/2+T50
6

(cf. [ 76 , Lemma 3 ] ). The quantity S4(N,W) can also be expressed as

S4(N,W)=t1,t2,t3,t4W|n[N,2N]ni(t1+t2t3t4)|2.

One can bound this quantity by an S(N,W) type expression:

Lemma 10.5

If W[T,T] is 1-separated and 1NTO(1), then one has

S4(N,W)To(1)u2S(N,U)+T100

for some 1u|W| and 1-separated subset U of [2T,2T] with

u|U||W|2
7

and

u2|U|E1(W).
8

This result appears implicitly in [ 76 , p. 229 ] , and is made more explicit in the proof of [ 61 , Lemma 11.6 ] .

Proof

10.2 Large value additive energy region

Because the cardinality |W| and additive energy E1(W) of a set W are correlated with each other, as well as with the double zeta sum S(N,W), we will not be able to consider them separately, and instead we will need to consider the possible joint exponents for these two quantities. We formalize this via the following set:

Definition 10.6 Large value energy region
#

The large value energy region ER5 is defined to be the set of all fixed tuples (σ,τ,ρ,ρ,s) with 1/2σ1, τ,ρ,ρ0, such that there exists a large value pattern (N,T,V,(an)n[N,2N],J,W) with N>1 unbounded, V=Nσ+o(1), T=Nτ+o(1), V=Nσ+o(1), |W|=Nρ+o(1), E1(W)=Nρ+o(1) and S(N,W)=Ns+o(1).

We define the zeta large value energy region EζR5 similarly, but where now (N,T,V,(an)n[N,2N],J,W) is required to be a zeta large value pattern.

Clearly we have

Lemma 10.7 Trivial containment

We have EζE.

These regions are related to LV(σ,τ) and LVζ(σ,τ) as follows:

For any fixed 1/2σ1,τ0, we have

LV(σ,τ)=sup{ρ:(σ,τ,ρ,ρ,s)E}

and

LVζ(σ,τ)=sup{ρ:(σ,τ,ρ,ρ,s)Eζ}

In particular, we have ρLV(σ,τ) for all (σ,τ,ρ,ρ,s)E, and ρLVζ(σ,τ) for all (σ,τ,ρ,ρ,s)Eζ.

Proof

Inspired by this, we can define

Definition 10.9

For any fixed 1/2σ1,τ0, we define

LV(σ,τ):=sup{ρ:(σ,τ,ρ,ρ,s)E}

and

LVζ(σ,τ):=sup{ρ:(σ,τ,ρ,ρ,s)Eζ}.

Thus these exponents are upper bounds for the additive energy of large values of Dirichlet polynomials which may or may not be of zeta function type.

As usual, we have an equivalent non-asymptotic definition of the large value energy region:

Lemma 10.10 Non-asymptotic form of large value energy region

Let 1/2σ1, τ0, ρ,ρ0, and sR be fixed. Then the following are equivalent:

  • (σ,τ,ρ,ρ,s)E.

  • For every ε>0 and C>0, there exists a large value pattern (N,T,V,(an)n[N,2N],J,W) with NC, NτδTNτ+δ, NσδVNσ+δ, Nρε|W|Nρ+ε, NρεE1(W)Nρ+ε, and NsεS(N,W)Ns+ε.

Similarly with E replaced by Eζ, and with (N,T,V,(an)n[N,2N],J,W) required to be a zeta large value pattern.

This lemma is proven by a routine expansion of the definitions, and is omitted.

Lemma 10.11 Basic properties
  • (Monotonicity in σ) If (σ,τ,ρ,ρ,s)E, then (σ,τ,ρ,ρ,s)E for all 1/2σσ and ττ.

  • (Subdivision) If (σ,τ,ρ,ρ,s)E and 0ττ, then amongst all tuples (σ,τ,ρ,(ρ),s)E with ρρ, (ρ)ρ, and ss, there exists a tuple with

    ρρ+ττ;

    there exists a tuple with

    ρρ+3min(ρρ,ττ);

    and there exists a tuple with

    ss+2min(ρρ,ττ).

    (But it may not be the same tuple that satisfies all three properties.)

  • (Trivial bounds) If (σ,τ,ρ,ρ,s)E, one has

    2ρ,4ρτρ3ρ.
Proof
Lemma 10.12 Raising to a power

If (σ,τ,ρ,ρ,s)E, and k1, then amongst all tuples (σ,τ/k,ρ,(ρ),s)E with ρρ/k, (ρ)ρ/k, and ss/k, there exists a tuple with ρ=ρ/k, there exists a tuple with (ρ)=ρ/k, and there exists a tuple with s=s/k. (These may be three different tuples.)

Proof

Morally speaking, one should be able to obtain equality in all three conclusions of Lemma 10.12 simultaneously, i.e. that (σ,τ,ρ,ρ,s)E essentially implies (σ,τ/k,ρ/k,ρ/k,s/k)E. This is because in practice one frequently controls E by computing a containment region E1 that possesses precisely the required monotonicity property. Specifically, we have

Lemma 10.13 Monotonicity criterion

Let E1 be the intersection of sets Ei, each of the form

{(σ,τ,ρ,ρ,s)R5:ρf1(ρ,s),ρf2(ρ,s),sf3(ρ,ρ)}

for some monotonically increasing functions f1,f2,f3 (that possibly also depend on σ and τ).

Suppose amongst all tuples (σ,τ,ρ,(ρ),s)E1 with ρρ, (ρ)ρ and ss, there exists a tuple with ρ=ρ, a tuple with (ρ)=ρ and a tuple with s=s (not necessarily the same tuple each time). Then, (σ,τ,ρ,ρ,s)E1.

Proof
Lemma 10.14 Raising to a power, alternative formulation

Let k be a positive integer, E1R5 be a set satisfying the monotonicity criterion of Lemma 10.13 and

Ek:={(σ,τ,ρ,ρ,s)R5:(σ,τ/k,ρ/k,ρ/k,s/k)E1}.

If EE1 then EEk.

Proof

10.3 Known relations for the large value energy region

Theorem 10.15 Reflection principle

[ 110 , § 11.5 ] If (σ,τ,ρ,ρ,s)E with σ3/4 and τ>1, then for any integer k1, either ρ22σ, or there exists 0<αk(τ1) and (σ,τ/α,ρ/α,ρ/α,s/α)E such that

ρmin(22σ,k(34σ)/2+s1).
Proof

Heuristically one expects smax(ρ+1,2ρ)+1 (see [ 110 , (11.63) ] ). There is one easy case in which this is true:

Lemma 10.16

If (σ,τ,ρ,ρ,s)E with τ<1, then smax(ρ+1,2ρ)+1.

Recorded in literature.py as:
add_lver_ivic_1985()

Proof

Another bound is

Lemma 10.17

[ 110 , Lemma 11.2 ] If (k,) is an exponent pair with k>0, and (σ,τ,ρ,ρ,s)E, then

smax(ρ+1,5ρ/3+τ/3,2+3k+41+2k+2ρ+k+1+2k+2τ)+1.
Proof

Finally, we have the useful

Lemma 10.18 Heath-Brown bound on double sums

If (σ,τ,ρ,ρ,s)E, then

smax(ρ+1,2ρ,5ρ/4+τ/2)+1.

Note that if τ3/2, the 5ρ/4+τ/2 term is bounded by the convex combination (3/4)(ρ+1)+(1/4)(2ρ) and may therefore be omitted.

Recorded in literature.py as:
add_lver_heath_brown_1979()

Proof

Lemma 10.5 can be formulated in terms of the large value energy region as follows.

Lemma 10.19

If (σ,τ,ρ,ρ,s)E, then there exists (σ,τ,ρ,(ρ),s)E and 0κρ such that

κ+ρ2ρ
2κ+ρρ

and

ρ+2σκ+(s+s)/2.
Proof

These bounds on the double zeta sums can be used to control additive energies:

Theorem 10.20 Heath-Brown relation

[ 79 , (33) ] If (σ,τ,ρ,ρ,s)E, then one has

ρ12σ+12max(ρ+1,2ρ,54ρ+τ2)+12max(ρ+1,4ρ,34ρ+ρ+τ2).

Recorded in literature.py as:
add_lver_heath_brown_1979b1()

Proof
Corollary 10.21 Simplified Heath-Brown relation

If (σ,τ,ρ,ρ,s)E and τ3/2, then

ρmax(3ρ+12σ,ρ+44σ,5ρ/2+(34σ)/2).

Recorded in literature.py as:
add_lver_heath_brown_1979b2()

This result essentially appears as [ 79 , Lemma 3 ] .

Proof

Similarly, using Lemma 10.17 and Lemma 10.19, one has

Theorem 10.22

If (k,) be an exponent pair with k>0 and (σ,τ,ρ,ρ,s)E, then

ρ12σ+12max(ρ+1,53ρ+τ3,2+3k+41+2k+2ρ+k+1+2k+2τ)+12max(ρ+1,4ρ,34ρ+ρ+τ2).

Implemented at additive_energy.py as:
ep_to_lver(eph)

Proof
Lemma 10.23 Second Heath-Brown relation

If (σ,τ,ρ,ρ,s)E then

ρmax(22σ,ρ/4+max(τ/4+k(34σ)/4,kτ/4+k(12σ)/2))

for any positive integer k.

Recorded in literature.py as:
add_lver_heath_brown_1979c(K)

Proof
Lemma 10.24 Guth-Maynard relation

If (σ,τ,ρ,ρ,s)E then

ρmax(22σ,12σ+max(S1,S2,S3)/3)

where S1,S2,S3 are real numbers with

S110,
S2max(2+2ρ,τ+1+(21/k)ρ,2+2ρ+(τ/23ρ/4)/k)

for any positive integer k and

S32τ+ρ/2+ρ/2

and also

S3max(2τ+3ρ/2,τ+1+ρ/2+ρ/2).

Recorded in literature.py as:
add_lver_guth_maynard_2024a()

Proof
Lemma 10.25 Second Guth-Maynard relation

[ 61 , Lemma 1.7 ] If (σ,τ,ρ,ρ,s)E then

ρρ+s2σ.

In particular, from Lemma 10.18 we see for τ3/2 that

ρmax(3ρ+12σ,2ρ+22σ).

Recorded in literature.py as:
add_lver_guth_maynard_2024b()

Proof
Lemma 10.26 Third Guth-Maynard relation

If (σ,τ,ρ,ρ,s)E and 1τ4/3, then

ρmax(ρ+44σ,21ρ/8+τ/4+12σ,3ρ+12σ).

Recorded in literature.py as:
add_lver_guth_maynard_2024c()

Proof

We can put this all together to prove the Guth–Maynard large values theorem.

Theorem 10.27 Guth–Maynard large values theorem

[ 61 , Theorem 1.1 ] One has

LV(σ,τ)max(22σ,18/54σ,τ+12/54σ).

Recorded in literature.py as:
add_guth_maynard_large_values_estimate()
Derived in derived.py as:
prove_guth_maynard_large_values_theorem()
prove_guth_maynard_lvt_from_intermediate_lemmas()

Proof

We also record a variant of that theorem from the same paper:

Theorem 10.28 Additional Guth–Maynard large values estimate

For any 1/2<σ<1, τ1, and natural number k one has

LV(σ,τ)max(22σ,56σ,(46σ)kk+1+kk+1τ,(56σ)4k4k+3+24k+3τ,24σ+43τ,34σ+τ2,927σ+τ,72112σ19+1819τ).
10

If one specializes to the case σ7/10 and 1τ6/5, one then has

LV(σ,τ)max(22σ,34σ+τ2,(46σ)kk+1+kk+1τ,(56σ)4k4k+3+24k+3τ).
13

and also

LV(σ,τ)max(22σ,34σ+τ2,4660σ5+30σ215τ).
14

Recorded in literature.py as:
add_guth_maynard_large_values_estimate2(Constants.LARGE_VALUES_TRUNCATION)
Derived in derived.py as:
prove_guth_maynard_intermediate_lvt()
prove_guth_maynard_intermediate_lvt2()

Proof

Now we turn to another application of double zeta sums to large value theorems.

Theorem 10.29 Bourgain large values theorem

[ 20 ] Let 1/2<σ<1 and τ>0, and let ρ:=LV(σ,τ). Let α1,α20 be real numbers. Then either

ρmax(α2+22σ,α2+2τ+48σ,2α1+τ+1216σ)
15

or else there exists s0 such that

12max(ρ+2,2ρ+1,5ρ/4+τ/2+1)+12max(s+2,2s+1,5s/4+τ/2+1)max(2α1+2σ+s+ρ,α1α2/2+2σ+s/2+3ρ/2).
16

Proof
Corollary 10.30 Bourgain large values theorem, simplified version

[ 20 , Lemma 4.60 ] Let the notation be as above, but additionally assume ρmin(1,42τ). Then

ρmax(α2+22σ,α1+α2/2+22σ,α2+2τ+48σ,2α1+τ+1216σ,4α1+2+max(1,2τ2)4σ).

In [ 20 ] this bound is only established in the case τ3/2 (in which case the condition on ρ simplifies to ρ1, and the final term 4α1+2+max(1,2τ2)4σ simplifies to 4α1+34σ), but the argument extends to the τ>3/2 case without significant difficulty.

Proof

With the aid of computer assistance, one is able to produce an optimized version of the above large values theorem. We have

Corollary 10.31 Bourgain large values theorem, optimized version

For each row (ρ0,α1,α2,S) of Table 10.1, one has

ρρ0(σ,τ),(σ,τ)S.

Recorded in literature.py as:
add_bourgain_large_values_estimate()

Derived in derived.py as:
prove_bourgain_large_values_theorem()

Proof
Table 10.1 Bounds on LV(σ,τ) for 1/2σ1 and τ1

ρ0(σ,τ)

α1

α2

S

163203σ+13τ

103143σ+τ3

0

1+τ0,1014σ+τ0,4+4σ5τ0,11+16στ0.

57σ+34τ

7292σ+τ8

1σ+54τ

88στ0,16+20σ+13τ0,6+10σ76τ0,44σ+5τ0.

35σ+τ

92112σ

13σ+τ

8+8σ+τ0,26σ+2τ0,10+14σ23τ0,62σ2τ0.

4σ+2τ

0

13σ+τ

6+2σ+2τ0,12+12σ+τ0,1σ0.

812σ+43τ

22σ16τ

610σ+43τ

1521σ+τ0,1212στ0,32+τ0,610σ+76τ0.

22σ

0

0

1σ0,10+14στ0,1+τ0,2+6σ2τ0.

912σ+23τ

322σ+16τ

1116σ+τ

32τ0,12+σ0,1+τ0,1116σ+τ0,1620σ13τ0.

The preprint of Kerr [ 130 ] contains additional large value theorems:

Lemma 10.32 Kerr large values theorem
  • [ 130 , Theorem 2 ] Let 3/4<σ1, 0τ3/2, and 0ρLV(σ,τ),1 be fixed. Then for any fixed α0, one has

    ρmax(22σ+α,2τ+48σα,τ/3+16/320σ/3+α/3,2τ/3+912σ).
  • [ 130 , Theorem 3 ] Under the same hypotheses as (i), we have for any fixed integer k2 obeying α<4kσ(τ+3k1) and α<1+1k1τ that

    ρmax(22σ+α,τ/3+(3k+4)/3(4k+4)σ/3+α/3).
  • [ 130 , Theorem 4 ] If 25/32<σ1, τ0, and 0ρLV(σ,τ),1,42τ are fixed, then for any fixed α with

    2632στ<α<16σ11τ

    one has

    ρmax(22σ+α,2τ+48σα,τ+88σ+2α,1012σ+2α/3).
  • [ 130 , Theorem 5 ] If 1/2<σ1, 0τ3/2, and 0ρLV(σ,τ),1 are fixed, then for any fixed α with

    α<τ+8σ5

    one has

    ρmax(22σ+α,4τ/3+23/312σ2α/3,2τ/3+14/320/3).