claimroutineinferred_dep
Selected low-pass dominated by envelope and maximal function
Dominates selected low-pass pieces by a maximal function envelope
removes dependence on the cutoff for selected pieces
Claim·§B.3 Summation over the spatial and angular frequencies·inside thmSharp logarithm with angular regularity
Statement (paper)
For with , the contribution at is controlled by the profile of Lemma , with in place of , so the profile does not depend on the cutoff . Moreover, for arbitrary nonnegative coefficients , .
In plain English
Where the cutoff satisfies , the piece at is bounded by the envelope profile , which does not depend on the cutoff . For any nonnegative coefficients , the -valued norm of is at most a constant times .
Why it's here
Applying the angular envelope lemma to the low-pass piece gives a pointwise bound by a profile of . Replacing by the spherical maximal function removes the dependence on through the cutoff, and the vector-valued maximal inequality then converts the profile norm into the norm of . This lets the selected pieces be summed over and bounded in the strong and weak estimates that follow.
Classified routine:
Follows from the angular envelope lemma by dominating the angular projection pointwise by the spherical maximal function, then applying the Fefferman–Stein vector-valued maximal inequality (Fefferman–Stein 1971) to bound the fff-valued profile norm.
Uses
Used by
Sources
PaperOpen
- Section
- §B.3 Summation over the spatial and angular frequencies
- Page
- —
- Label
—- Line
sections/angular.tex:308
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depoutline: "Selected low-pass via envelope and vector maximal" rests on lem:angular-envelope
- infoinferred_depoutline: "Selected low-pass via envelope and vector maximal" rests on claim-thm-angular-1