Carleson operators on doubling metric measure spaces

3 Proof of Metric Space Carleson

This section is currently under construction, to incorporate the proof of Theorem 1.0.3

Let Borel sets F, G in X be given. Let a Borel function f:XC with f1F be given. We have that

X=R>0B(o,R),
3.0.1

because every point of X has finite distance from o.

Lemma 3.0.1 R truncation
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For all integers R>0

1GB(o,R)sup1/R<R1<R2<RsupϑΘ|TR1,R2,ϑf(x)|dμ(x)

2450a3(q1)6μ(G)11qμ(F)1q,
3.0.2

where

TR1,R2,ϑf(x)=R1<ρ(x,y)<R2K(x,y)f(y)e(ϑ(y))dμ(y).
3.0.3

We first show how Lemma 3.0.1 implies Theorem 1.0.2. As R tends to , the integrand of the left-hand side of 3.0.2 grows monotonically toward the integrand of the left-hand side of 1.0.19 for all x. By Lebesgue’s monotone convergence theorem, the left-hand side of 3.0.2 converges to the left-hand side of 1.0.19. This verifies Theorem 1.0.2.

It remains to prove Lemma 3.0.1. Fix an integer R>0. By replacing G with GB(o,R) if necessary, it suffices to show 3.0.2 under the assumption that G is contained in B(o,R). We make this assumption. For every xG, the domain of integration in 3.0.3 is contained in B(o,2R). By replacing F with FB(o,2R) if necessary, and correspondingly restricting f to B(o,2R), it suffices to show 3.0.2 under the assumption that F is contained in B(o,2R). We make this assumption.

Using the definition 2.0.5 of Ks and the partition of unity 2.0.4, we express 3.0.3 as the sum of

T1,s1,s2,ϑf(x):=s1ss2Ks(x,y)f(y)e(ϑ(y))dμ(y)
3.0.4

and

s=s12,s11,s2+1,s2+2R1<ρ(x,y)<R2Ks(x,y)f(y)e(ϑ(y))dμ(y),
3.0.5

where s1 is the smallest integer such that Ds12R2>14D and s2 is the largest integer such that Ds2+2R1<12. We restrict the summation index s by excluding summands with s<s12 or s>s2+2 because for these summands, the function Ks vanishes on the domain of integration. We also omit the restriction in the integral for the summands in 3.0.4 because in these summands, the support of Ks is contained in the set described by this restriction.

We apply the triangle inequality and estimate the versions of 3.0.2 separately with TR1,R2,ϑ replaced by 3.0.4 and by each summand of 3.0.5. To handle the case 3.0.4, we employ the following lemma. Here, we utilize the fact that if 1RR1R2R, then s1 and s2 as in 3.0.4 are in an interval [S,S] for some sufficiently large S depending on R.

Lemma 3.0.2 S truncation

For all integers S>0

1G(x)maxS<s1s2<SsupϑΘ|T1,s1,s2,ϑf(x)|dμ(x)

2446a3(q1)6μ(G)11qμ(F)1q,
3.0.6

where T1,s1,s2,ϑ is defined in 3.0.4.

To reduce Lemma 3.0.1 to Lemma 3.0.2, we need estimates for the summands in 3.0.5. Using Lemma 2.1.3, we obtain for arbitrary s the inequality

|R1<ρ(x,y)<R2Ks(x,y)f(y)e(ϑ(y))dμ(y)|2102a3μ(B(x,Ds))B(x,Ds)1F(y)dμ(y)2102a3M1F(x),

where M1F is as defined in Proposition 2.0.6. Now, the left-hand side of 3.0.2, with TR1,R2,ϑ replaced by a summand of 3.0.5, can be estimated using Hölder’s inequality and Proposition 2.0.6 by

2102a31G(x)M1F(x)dμ(x)2102a3+4aqq1μ(G)11qμ(F)1q.

Applying the triangle inequality to estimate the left-hand side of 3.0.2 by contributions from the summands in 3.0.4 and 3.0.5, using Lemma 3.0.2 to control the first term, and the above to estimate the contribution from the four summands in 3.0.5, combined with a4 and q<2, completes the reduction of Lemma 3.0.1 to Lemma 3.0.2.

It remains to prove Lemma 3.0.2. Fix S>0.

Lemma 3.0.3 finitary S truncation
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For all finite sets Θ~Θ

1G(x)maxS<s1s2<SsupϑΘ~|T1,s1,s2,ϑf(x)|dμ(x)

2445a3(q1)6μ(G)11qμ(F)1q.
3.0.9

We reduce Lemma 3.0.2 to Lemma 3.0.3. By the Lebesgue monotone convergence theorem, applied to an increasing sequence of finite sets Θ~, inequality 3.0.9 continues to hold for countable Θ~.

Let ϵ=12S+1. Pick some ϑ0Θ. For k0, let the set Θ~k be a subset of BB(o,2R)(ϑ0,k) of maximal size, such that for all ϑ,θΘ~k, it holds that dB(o,2R)(ϑ,θ)ϵ. Such a set exists, since by Lemma 2.1.1 there exists an upper bound for the size of such subsets in BB(o,2R)(ϑ0,k). Define

Θ~:=kNΘ~k.

Then the set Θ~ is at most countable, and it has the property that for any θΘ, there exists ϑΘ~ with

dB(o,2R)(θ,ϑ)<ϵ.

For every ϑΘ, we have

|T1,s1,s2,ϑf(x)|=|s1ss2Ks(x,y)f(y)e(ϑ(y)ϑ(x))dμ(y)|
3.0.10

Moreover, there is a ϑ~Θ~ with dB(o,2R)(ϑ,ϑ~)ϵ. Hence,

|T1,s1,s2,ϑf(x)||T1,s1,s2,ϑ~f(x)|s1ss2|Ks(x,y)|1F(y)|e(ϑ(y)ϑ(x))e(ϑ~(y)ϑ~(x))|dμ(y)s1ss2ϵ|Ks(x,y)|1F(y)dμ(y)

Using Lemma 2.1.3, we can estimate the above expression by

s1ss22102a3μ(B(x,Ds))ϵB(x,Ds)1F(y)dμ(y)(2S+1)ϵ2102a3M1F(x)2102a3M1F(x)

We estimate the left-hand-side of 3.0.6 by the sum of left-hand-side of 3.0.9 and

1G(x)maxS<s1s2<SsupϑΘinfϑ~Θ~(|T1,s1,s2,ϑf(x)||T1,s1,s2,ϑ~f(x)|)dμ(x),

which, as we have just shown, is estimated by

2102a31G(x)M1F(x)dμ(x).

By Hölder’s inequality and Proposition 2.0.6 (more precisely, 2.0.46 with p=q), the above is no greater than

2102a3+4aqq1μ(G)11qμ(F)1q.

Combining this with Lemma 3.0.3 and the fact that

2102a3+4aqq12445a3(q1)6

proves Lemma 3.0.2.

It remains to prove Lemma 3.0.3. Fix a finite set Θ~.

Lemma 3.0.4 linearized truncation

Let σ1,σ2:XZ be measurable functions with finite range [S,S] and σ1σ2. Let Q:XΘ~ be a measurable function. Then we have

1G(x)|T2,σ1,σ2,Qf(x)|dμ(x)2445a3(q1)6μ(G)11qμ(F)1q,
3.0.11

with

T2,σ1,σ2,Qf(x)=σ1(x)sσ2(x)Ks(x,y)f(y)e(Q(x)(y)Q(x)(x))dμ(y).
3.0.12

We reduce Lemma 3.0.3 to Lemma 3.0.4. For each x, let σ1(x) be the minimal element s[S,S] such that

maxss2<SmaxϑΘ~|T1,s,s2,ϑf(x)|=maxS<s1s2<SmaxϑΘ~|T1,s1,s2,ϑf(x)|:=T1,x.

Similarly, let σ2(x) be the minimal element s[S,S] such that

maxϑΘ~|T1,σ1(x),s,ϑf(x)|=T1,x.

Finally, choose a total order of the finite set Θ~ and let Q(x) be the minimal element ϑ with respect to this order such that

|T1,σ1(x),σ2(x),ϑf(x)|=T1,x.

With these choices, and noting that

T1,σ1(x),σ2(x),Q(x)f(x)=T2,σ1,σ2,Qf(x),

we conclude that the left-hand side of 3.0.9 and 3.0.11 are equal. Thus, Lemma 3.0.3 follows from Lemma 3.0.4.

It remains to prove Lemma 3.0.4. Fix σ1, σ2, and Q as in the lemma. Applying Proposition 2.0.1 recursively, we obtain a sequence of sets Gn with G0=G and, for each n0, μ(Gn)2nμ(G) and

1GnGn+1(x)|T2,σ1,σ2,Qf(x)|dμ(x)

2434a3(q1)5μ(Gn)11qμ(F)1q,
3.0.13

Adding the first n of these inequalities, we obtain by bounding a geometric series

1GGn(x)|T2,σ1,σ2,Qf(x)|dμ(x)2445a3(q1)6μ(G)11qμ(F)1q.
3.0.14

As the integrand is non-negative and non-decreasing in n, we obtain by the monotone convergence theorem

1G(x)|T2,σ1,σ2,Qf(x)|dμ(x)2445a3(q1)6μ(G)11qμ(F)1q.
3.0.15

This completes the proof of Lemma 3.0.4 and thus Theorem 1.0.2.