Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 9 1 b Solution Created 2026-10-03 Updated 2026-10-07
It is enough to prove the stronger planar Kakeya maximal function boundWe first work with a -separated net of unoriented directions , with . Write for angular distance modulo . Choose arbitrary length-one, width- rectangles in these directions. The permitted rectangle intersection fact isThe first alternative includes parallel rectangles. Their locations are arbitrary; only separation of their directions matters.
Define , and put . With these weights the adjoint operator is . Since a separated angular net has only a bounded number of directions at each distance scale from , its overlap matrix satisfiesThe diagonal term is of size . Using and symmetry gives the Schur test estimateBy duality of Lp spaces, . This is uniform over every choice of the translated rectangles. For each direction choose a rectangle approaching the supremum for , then take the limit. That gives the same estimate for the discretized Kakeya maximal function.
To recover all directions, partition the direction circle into arcs of length comparable to , each with a net direction. A tube in an arc is contained in a rectangle in its net direction with width and length at most two. A bounded subdivision in the length direction reduces this to the same averaging operators; the wider tubes obey the same overlap estimate with fixed-factor changes. ThereforeFinally for every . The planar Kakeya maximal estimate therefore has the required arbitrary small power loss.
Planar Kakeya maximal estimate 2026-10-07
For a separated angular net, two translated unit rectangles of width intersect in area at most a constant times , where is their unoriented angular distance. Each row of their intersection matrix therefore has sum at most . Applying the Schur test to the adjoint averaging operator gives the displayed bound. A wider-tube comparison extends it from the net to all directions. Since , this proves the planar version of the Kakeya maximal conjecture.