claimroutine

Tube arrangement: disjoint start, compressed end

Arranges tubes: disjoint at start, outputs in a set of measure ≲k−d\lesssim k^{-d}
geometric input of the counterexample
Claim·§C Disjoint packets and the weak spacetime norm·inside propWeak-type endpoint smoothing fails logarithmically

Statement (paper)

With k=⌊14log⁡2N⌋k=\lfloor\frac14\log_2 N\rfloor, δ=2−k\delta=2^{-k}, w=αδ/16w=\alpha\delta/16 and J=[1/4,1/2]J=[1/4,1/2], the δ−d\delta^{-d} lines Lν=(Lj1,…,Ljd)L_\nu=(L_{j_1},\ldots,L_{j_d}) satisfy: for X≤−1/2X\le-1/2 the intervals of radius ww around the Lj(X)L_j(X) are pairwise disjoint, and the output cores SνS_\nu all lie in E={(X,Y):X∈J, Y∈(BX)d}E=\{(X,Y):X\in J,\ Y\in (B_X)^d\}, where ∣E∣≲nk−d|E|\lesssim_n k^{-d} and ∑ν∣Sν∣=δ−d∣J∣wd≍n1\sum_\nu |S_\nu|=\delta^{-d}|J|w^d\asymp_n1.

In plain English

With δ=2−k\delta=2^{-k}, k=⌊14log⁡2N⌋k=\lfloor\frac14\log_2 N\rfloor, the δ−d\delta^{-d} product lines LνL_\nu start as pairwise disjoint tubes of radius w=αδ/16w=\alpha\delta/16 for X≤−1/2X\le-1/2. Their output cores SνS_\nu all land in a set EE (with X∈J=[1/4,1/2]X\in J=[1/4,1/2] and Y∈(BX)dY\in(B_X)^d) of measure ≲nk−d\lesssim_n k^{-d}, while the cores' total measure is δ−d∣J∣wd≍n1\delta^{-d}|J|w^d\asymp_n 1.

Why it's here

This is the geometric input of the counterexample: disjointness at the start lets the initial packets be summed with the LpL^p norm of gNg_N staying bounded. Compression of all the output cores into the small set EE means the packets' mass concentrates there, which gives the (log⁡N)d(1/2−1/p)(\log N)^{d(1/2-1/p)} gain in the weak-norm lower bound after random signs are applied in the later claims.
Classified routine:
A Kakeya/Besicovitch-type line arrangement (Perron-tree style construction in which disjoint tubes are compressed into a set of measure about 1/log), used in the standard Bourgain–Fefferman-type counterexamples; here it is a direct geometric verification for the specific product lines.

Sources

PaperOpen
Section
§C Disjoint packets and the weak spacetime norm
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