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Carleson forest summation gives restricted weak ltwo

Statement

Assume AC. For every finite linearised tile family, CS,Nf,gCf2m(E)1/2 for g1E, where E is measurable of finite measure. Constants do not depend on S or N.

Facts & Assumptions

[F1]

A finite positive-density family can be partitioned into trees of total top length at most Cδ1m(E) and a remainder of density at most δ/2 Carleson density selection.

[F2]

From a finite family of positive size σ, one can choose finitely many trees of total top length at most Cσ2f22 such that deleting their union leaves a remainder of size at most σ/2 Carleson size selection.

[F3]

A finite tree's absolute bilinear contribution is at most its density times its size times CIT Carleson single tree estimate.

[F4]

Density is at most D=2/19, size is finite and vanishes exactly when all packet coefficients vanish, and both decrease on subcollections. Forest count sums designated top lengths with multiplicity Density size and tree count for carleson tiles.

[F5]

Assume AC The Axiom of Choice, inherited from the three selection/estimate suppliers.

Proof

Given: A finite S, measurable N, fL2, and g1E with e=m(E)<.

1.1

If S is empty or its size is zero, all summands vanish by F4. If f2=0, all coefficients are zero. If e=0, g is zero almost everywhere and the testing integrals vanish. Hence assume F=f2>0, e>0 and positive initial size. Put A=F/e, sn=A2n and dn=Dmin(1,4n) for integers n.

F4given
2.1

Choose an integer n00 with sn0sizef(S), possible because the size is finite and 2n as n. Set Rn0=S. We construct decreasing finite remainders Rn with size at most sn and density at most dn. The initial density bound holds since dn0=D. At step n, the tiles removed from Rn will be equipped with a forest Fn of total top length at most C0e4n, for one constant independent of n and S.

F4step 1.1
3.1

First reduce the density of Rn to dn+1. If its density is already at most that threshold, do nothing. Otherwise apply F1 using its actual density delta. Each such application removes trees of count at most Ce/δCe/dn+1 and halves the remaining density. For n<0 no application is needed, since dn=dn+1=D. For n>=0, dn=4dn+1, so at most two applications suffice, even when the first remaining density is zero. The removed trees all lie in Rn. For n>=0 their combined count is at most 2Ce/dn+1=8CD1e4n.

F1F4step 2.1
4.1

The remainder after step 3.1 still has size at most sn. If its actual size sigma exceeds sn+1, apply F2 once. Its output remainder has size at most σ/2sn+1 and its selected trees have total top length at most CF2/σ2CF2/sn+12=4Ce4n. Order those finitely many trees and replace the ith one by the tiles in it which occur in none of the earlier trees, retaining its designated top and discarding it if empty. Every resulting nonempty collection is still a tree, their union and hence the output remainder are unchanged, and their total top length cannot increase. Thus they form a forest in the required partition sense. Otherwise remove nothing. Density cannot increase in this step. Call the resulting remainder Rn+1 and combine this forest with all forests removed by the density selections into Fn. Tile collections coming from different selections are disjoint because each selection operates on what remains. Their designated tops may overlap; the count bounds already include this multiplicity. This proves the induction and the promised bound with a fixed C0.

F2F4step 1.1step 2.1step 3.1
5.1

Only finitely many nonzero coefficient tiles can survive this process. More explicitly, for each such s in the original finite S the positive number f,ϕs/Is is a lower bound for the size of any remainder containing s, by the singleton-tree case of F4. The minimum b of these finitely many positive numbers is positive. Choose n1>n0 with sn1<b. Then Rn1 contains only zero-coefficient tiles and has zero testing contribution. Thus the finite forests Fn for n0n<n1 account for the whole testing form; no infinite decomposition, limiting selector or interchange of integrals is required. If no coefficient was nonzero, step 1.1 already handled the case.

F4step 1.1step 4.1
5.2

Every tree in Fn is a subcollection of Rn, so its size and density are at most sn,dn. By F3, the triangle inequality over the finitely many trees, and the count bound, the magnitude of their combined testing contribution is at most CsndnTFnITCC0DFemin(2n,2n). The equality of the powers follows from 2n4nmin(1,4n)=min(2n,2n). This uses the tree estimate on each actual designated tree, rather than assuming the forest's tops are spatially disjoint.

F3F4step 1.1step 4.1
6.1

Sum step 5.2 over n0n<n1. The sum is at most the two convergent geometric tails n<02n+n02n=1+2=3; finite geometric identities give the same uniform upper bound without invoking an infinite exchange. Step 5.1 then proves the displayed inequality after absorbing 3CC0D into the constant. All choices concern finitely many stopping stages for this S. The AC assumption is inherited from the three analytic suppliers, not a new unrestricted choice of infinite forests.

F5step 5.1step 5.2
Scratch work

The joint stopping and summation proof and both formerly incomplete suppliers now have full local authored arguments. The size-selection and single-tree repairs await ordinary mathematical review and root decision reconciliation; this file does not itself claim those reviews or a source disposition. Other Carleson maximal-theorem prerequisites remain separate holds.

Depends on

Used by

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