Carleson operators on doubling metric measure spaces

5 Proof of discrete Carleson

Let a grid structure (D,c,s) and a tile structure (P,I,Ω,Q) for this grid structure be given. In Section 5.1, we decompose the set P of tiles into subsets. Each subset will be controlled by one of three methods. The guiding principle of the decomposition is to be able to apply the forest estimate of Proposition 2.0.4 to the final subsets defined in 5.1.23. This application is done in Section 5.4. The miscellaneous subsets along the construction of the forests will either be thrown into exceptional sets, which are defined and controlled in Section 5.2, or will be controlled by the antichain estimate of Proposition 2.0.3, which is done in Section 5.5. Section 5.3 contains some auxiliary lemmas needed for the proofs in Subsections 5.4-5.5.

5.1 Organisation of the tiles

In the following definitions, k,n, and j will be nonnegative integers. Define C(G,k) to be the set of ID such that there exists a JD with IJ and

μ(GJ)>2k1μ(J),
5.1.1

but there does not exist a JD with IJ and

μ(GJ)>2kμ(J).
5.1.2

Let

P(k)={pP : I(p)C(G,k)}
5.1.3

Define M(k,n) to be the set of pP(k) such that

μ(E1(p))>2nμ(I(p))
5.1.4

and there does not exist pP(k) with pp and pp such that

μ(E1(p))>2nμ(I(p)).
5.1.5

Define for a collection PP(k)

densk(P):=suppPsupλ2λasuppP(k):λpλpμ(E2(λ,p))μ(I(p)).
5.1.6

Sorting by density, we define

C(k,n):={pP(k) :24a2n<densk({p})24a2n+1}.
5.1.7

Following Fefferman [ , we define for pC(k,n)

B(p):={mM(k,n) : 100pm}
5.1.8

and

C1(k,n,j):={pC(k,n) : 2j|B(p)|<2j+1}.
5.1.9

and

L0(k,n):={pC(k,n) : |B(p)|<1}.
5.1.10

Together with the following removal of minimal layers, the splitting into C1(k,n,j) will lead to a separation of trees. Define recursively for 0lZ(n+1)

L1(k,n,j,l)
5.1.11

to be the set of minimal elements with respect to in

C1(k,n,j)0l<lL1(k,n,j,l).
5.1.12

Define

C2(k,n,j):=C1(k,n,j)0lZ(n+1)L1(k,n,j,l).
5.1.13

The remaining tile organization will be relative to prospective tree tops, which we define now. Define

U1(k,n,j)
5.1.14

to be the set of all uC1(k,n,j) such that for all pC1(k,n,j) with I(u) strictly contained in I(p) we have Bu(Q(u),100)Bp(Q(p),100)=.

We first remove the pairs that are outside the immediate reach of any of the prospective tree tops. Define

L2(k,n,j)
5.1.15

to be the set of all pC2(k,n,j) such that there does not exist uU1(k,n,j) with I(p)I(u) and 2pu. Define

C3(k,n,j):=C2(k,n,j)L2(k,n,j).
5.1.16

We next remove the maximal layers. Define recursively for 0lZ(n+1)

L3(k,n,j,l)
5.1.17

to be the set of all maximal elements with respect to in

C3(k,n,j)0l<lL3(k,n,j,l).
5.1.18

Define

C4(k,n,j):=C3(k,n,j)0lZ(n+1)L3(k,n,j,l).
5.1.19

Finally, we remove the boundary pairs relative to the prospective tree tops. Define

L(u)
5.1.20

to be the set of all ID with II(u) and s(I)=s(u)Z(n+1)1 and

B(c(I),8Ds(I))I(u).
5.1.21

Define

L4(k,n,j)
5.1.22

to be the set of all pC4(k,n,j) such that there exists uU1(k,n,j) with I(p)L(u), and define

C5(k,n,j):=C4(k,n,j)L4(k,n,j).
5.1.23

We define three exceptional sets. The first exceptional set G1 takes into account the ratio of the measures of F and G. Define PF,G to be the set of all pP with

dens2({p})>22a+5μ(F)μ(G).
5.1.24

Define

G1:=pPF,GI(p).
5.1.25

For an integer λ0, define A(λ,k,n) to be the set of all xX such that

pM(k,n)1I(p)(x)>λ2n+1
5.1.26

and define

G2:=k0knA(2n+6,k,n).
5.1.27

Define

G3:=k0nk0j2n+3pL4(k,n,j)I(p).
5.1.28

Define G=G1G2G3. The following bound of the measure of G will be proven in Section 5.2.

Lemma 5.1.1 exceptional set
#

We have

μ(G)21μ(G).
5.1.29

In Section 5.4, we identify each set C5(k,n,j) outside G as forest and use Proposition 2.0.4 to prove the following lemma.

Let

P1=k0nk0j2n+3C5(k,n,j)
5.1.30

For all f:XC with |f|1F we have

GG|pP1Tpf|dμ2433a3(q1)4μ(G)11qμ(F)1q.
5.1.31

In Section 5.5, we decompose the complement of the set of tiles in Lemma 5.1.2 and apply the antichain estimate of Proposition 2.0.3 to prove the following lemma.

Lemma 5.1.3 forest complement

Let

P2=PP1.
5.1.32

For all f:XC with |f|1F we have

GG|pP2Tpf|dμ2153a3(q1)5μ(G)11qμ(F)1q.
5.1.33

Proof of Proposition 2.0.2

5.2 Proof of the Exceptional Sets Lemma

We prove separate bounds for G1, G2, and G3 in Lemmas 5.2.1, 5.2.6, and 5.2.10. Adding up these bounds proves Lemma 5.1.1.

The bound for G1 follows from the Vitali covering lemma, Proposition 2.0.6.

Lemma 5.2.1 first exception
#

We have

μ(G1)25μ(G).
5.2.1

Proof

We turn to the bound of G2, which relies on the Dyadic Covering Lemma 5.2.2 and the John-Nirenberg Lemma 5.2.5 below.

Lemma 5.2.2 dense cover
#

For each k0, the union of all dyadic cubes in C(G,k) has measure at most 2k+1μ(G) .

Proof
Lemma 5.2.3 pairwise disjoint
#

If p,pM(k,n) and

E1(p)E1(p),
5.2.4

then p=p.

Proof
Lemma 5.2.4 dyadic union
#

For each xA(λ,k,n), there is a dyadic cube I that contains x and is a subset of A(λ,k,n).

Proof
Lemma 5.2.5 John Nirenberg
#

For all integers k,n,λ0, we have

μ(A(λ,k,n))2k+1λμ(G).
5.2.5

Proof
Lemma 5.2.6 second exception
#

We have

μ(G2)22μ(G).
5.2.13

Proof

We turn to the set G3.

Lemma 5.2.7 top tiles
#

We have

mM(k,n)μ(I(m))2n+k+3μ(G).
5.2.16

Proof
Lemma 5.2.8 tree count
#

Let k,n,j0. We have for every xX

uU1(k,n,j)1I(u)(x)2j29amM(k,n)1I(m)(x)
5.2.19

Proof
Lemma 5.2.9 boundary exception
#

Let L(u) be as defined in 5.1.20. We have for each uU1(k,n,l),

μ(IL(u)I)D1κZ(n+1)μ(I(u)).
5.2.24

Proof
Lemma 5.2.10 third exception
#

We have

μ(G3)24μ(G).
5.2.26

Proof
Proof of Lemma 5.1.1

5.3 Auxiliary lemmas

Before proving Lemma 5.1.2 and Lemma 5.1.3, we collect some useful properties of .

Lemma 5.3.1 wiggle order 1
#

If npmp and nn and mm then npmp.

Proof
Lemma 5.3.2 wiggle order 2
#

Let n,m1 and k>0. If p,pP with I(p)I(p) and

npkp
5.3.1

then

(n+295am)pmp.
5.3.2

Proof
Lemma 5.3.3 wiggle order 3

The following implications hold for all q,qP:

qq and λ1.1λqλq,
5.3.3

10qq and I(q)I(q)100q100q,
5.3.4

2qq and I(q)I(q)4q500q.
5.3.5

Proof

We call a collection A of tiles convex if

ppp and p,pApA.
5.3.6

Lemma 5.3.4 P convex
#

For each k, the collection P(k) is convex.

Proof
Lemma 5.3.5 C convex
#

For each k,n, the collection C(k,n) is convex.

Proof
Lemma 5.3.6 C1 convex
#

For each k,n,j, the collection C1(k,n,j) is convex.

Proof
Lemma 5.3.7 C2 convex
#

For each k,n,j, the collection C2(k,n,j) is convex.

Proof
Lemma 5.3.8 C3 convex
#

For each k,n,j, the collection C3(k,n,j) is convex.

Proof
Lemma 5.3.9 C4 convex
#

For each k,n,j, the collection C4(k,n,j) is convex.

Proof
Lemma 5.3.10 C5 convex
#

For each k,n,j, the collection C5(k,n,j) is convex.

Proof
Lemma 5.3.11 dens compare
#

We have for every k0 and PP(k)

dens1(P)densk(P).
5.3.7

Proof
Lemma 5.3.12 C dens1
#

For each set AC(k,n), we have

dens1(A)24a2n+1.
Proof

5.4 Proof of the Forest Union Lemma

Fix k,n,j0. Define

C6(k,n,j)

to be the set of all tiles pC5(k,n,j) such that I(p)G. The following chain of lemmas establishes that the set C6(k,n,j) can be written as a union of a small number of n-forests.

For uU1(k,n,j), define

T1(u):={pC1(k,n,j) :I(p)I(u), 2pu}.
5.4.1

Define

U2(k,n,j):={uU1(k,n,j):T1(u)C6(k,n,j)}.
5.4.2

Define a relation on U2(k,n,j) by setting uu for u,uU2(k,n,j) if u=u or there exists p in T1(u) with 10pu.

Lemma 5.4.1 relation geometry
#

If uu, then I(u)=I(u) and

Bu(Q(u),100)Bu(Q(u),100) .
Proof
Lemma 5.4.2 equivalence relation
#

For each k,n,j, the relation on U2(k,n,j) is an equivalence relation.

Proof

Choose a set U3(k,n,j) of representatives for the equivalence classes of in U2(k,n,j). Define for each uU3(k,n,j)

T2(u):=uuT1(u)C6(k,n,j).
5.4.5

Lemma 5.4.3 C6 forest
#

We have

C6(k,n,j)=uU3(k,n,j)T2(u).
5.4.6

Proof
Lemma 5.4.4 forest geometry
#

For each uU3(k,n,j), the set T2(u) satisfies 2.0.32.

Proof
Lemma 5.4.5 forest convex
#

For each uU3(k,n,j), the set T2(u) satisfies the convexity condition 2.0.33.

Proof
Lemma 5.4.6 forest separation
#

For each u,uU3(k,n,j) with uu and each pT2(u) with I(p)I(u) we have

dp(Q(p),Q(u))>2Z(n+1).
5.4.7

Proof
Lemma 5.4.7 forest inner
#

For each uU3(k,n,j) and each pT2(u) we have

B(c(p),8Ds(p))I(u).
5.4.8

Proof
Lemma 5.4.8 forest stacking
#

It holds for kn that

uU3(k,n,j)1I(u)(4n+12)2n.
5.4.9

Proof

We now turn to the proof of Lemma 5.1.2.

Proof of Lemma 5.1.2

5.5 Proof of the Forest Complement Lemma

Define PGG to be the set of all pP such that μ(I(p)(GG))>0.

Lemma 5.5.1 antichain decomposition
#

We have that

P2PGG=k0nkL0(k,n)PGGk0nk0j2n+3L2(k,n,j)PGGk0nk0j2n+30lZ(n+1)L1(k,n,j,l)PGGk0nk0j2n+30lZ(n+1)L3(k,n,j,l)PGG.
Proof
Lemma 5.5.2 L0 antichain

We have that

L0(k,n)=0l<n˙L0(k,n,l),

where each L0(k,n,l) is an antichain.

Proof
Lemma 5.5.3 L2 antichain
#

Each of the sets L2(k,n,j) is an antichain.

Proof
Lemma 5.5.4 L1 L3 antichain
#

Each of the sets L1(k,n,j,l) and L3(k,n,j,l) is an antichain.

Proof

We now turn to the proof of Lemma 5.1.3.

Proof of Lemma 5.1.3