Packing selector to coherent finite-scale sources
OpenStickyKakeya4.packing_selector_to_finite_scale_sourcesLet be a measurable valid one-line-per-direction selector whose unmarked carrier has packing dimension . There is one probability measure on its unit front which, at every sufficiently small radius, has a normalized admissible shaded, weighted source discretization drawn from . For every ball at that radius, a measurable shading/weight restriction dominates the measure of the ball and has physical union inside the doubled ball.
The source retains the affine fibre mark and a nested carrier tree. The fixed measure and same-radius localization supply the scale coherence needed for a Hausdorff, rather than merely Minkowski, conclusion.
import Definitions.Def_sticky_kakeya4_core open MeasureTheory Set
namespace StickyKakeya4
theorem packing_selector_to_finite_scale_sources
(selector : Set MarkedLine)
(hmeasurable : MeasurableSet selector)
(hvalid : ∀ line ∈ selector, IsValidLine line)
(hselector : IsDirectionSelector selector)
(hpacking : packingDim (lineCarrier selector) = 3) :
HasCoherentFiniteScaleSources selector := by sorry
end StickyKakeya4Read-back
What the Lean code literally says, in plain math · gpt-5
Let with its Euclidean norm and inner product, and let a marked line be a triple , with direction , offset , and mark . Let be a measurable set of marked lines such that every satisfies and ; for every unit there exists exactly one with that direction; and the custom packing dimension of the unmarked carrier is exactly . The custom packing dimension is the infimum of the bounds on upper Minkowski dimensions over countable covers, and upper Minkowski dimension is defined by finite open-ball covering numbers satisfying for all sufficiently small positive , with finite extended-nonnegative-real . Then, for every real , there exist , a measure on , and such that , is a probability measure supported on
and, for every , there exist a natural number (possibly ) and finite-scale data indexed by . These data consist of thickness , marked lines , measurable shadings , weights , recorded fibre marks , and a nested carrier tree whose child levels are larger, child cells are contained in parent cells, and whose th cell contains . They satisfy , , , , , every is within distance of the marked unit segment of , and for ,
Writing and , one has . Finally, for every there exist data with the same index set, thickness, marked lines, fibre marks, and entire tree as , with measurable and , such that, for and ,