claimroutine
Kakeya maximal estimate by duality
Bounds Kakeya maximal function in with loss by duality
maximal estimate behind volume and dimension claims
Claim·§9.3 The maximal estimate and Hausdorff dimension·inside corQuantitative extension and Kakeya bounds
Statement (paper)
For , with . This is obtained by testing the discretized norm against weights with , and bounding for any choice of centers.
In plain English
For , the Kakeya maximal function satisfies with , so the logarithmic loss is .
Why it's here
The norm of the discretized maximal function is dualized against weights in , which converts the problem into bounding for arbitrary tube centers. The overlap lemma controls this sum in with loss , and Hölder's inequality then gives the claim. This maximal bound is the input for the volume and Hausdorff-dimension claims that follow.
Classified routine:
Standard duality argument (as in Bourgain 1991 and Wolff's treatment of Kakeya maximal functions) turning the tube overlap bound in L^q into a Kakeya maximal estimate on L^n via discretization and Hölder; it follows directly from the paper's overlap lemma.
Uses
Used by
Sources
PaperOpen
- Section
- §9.3 The maximal estimate and Hausdorff dimension
- Page
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- Label
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sections/kakeya.tex:182
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