BoundaryDistance #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The two-sided boundary distance of a Whitney layer #
This module proves the assertion ABK26 records without proof β "the cubes in
π²(β‘_m, n) lie at distance roughly 3^{m-n} from the boundary ββ‘_m" β and
the two consequences its proof of l.bad.clusters.geometry draws from it:
- the two-sided estimate, in the form the consumers need: `3^{m-n} < 3^m/2
- βcubeCenter β‘β
for everyβ‘ β π²(β‘_m,n)(three_zpow_lt_boundaryMargin_cubeCenter_of_mem_whitneyLayer) and3^m/2 - βxβ β€ 3Β·3^{m-n}for everyxin a layer-ncube (boundaryMargin_le_of_mem_whitneyLayer). Here3^m/2 - βxβis theβ^βdistance fromxtoββ‘_m, sinceβ‘_mis the centred cube of side3^m`.
- βcubeCenter β‘β
- the layer separation constant
c = 2/3, dimension-free as computes it: cubes two or more layers apart have centres more than(2/3)Β·3^{m-n}apart (two_thirds_zpow_lt_norm_cubeCenter_sub_of_layers). - the adjacency clause of the manuscript's first proof paragraph: two
touching Whitney cubes lie in equal or neighbouring layers
(
whitneyLayer_index_close_of_cubeTouch). Following consequence 2 this needs no percolation input and no largeness ofkββ onlyh_n β₯ 1.
Why the lower half is stated at the centre only #
The consumer two_thirds_zpow_lt_norm_cubeCenter_sub_of_layers pairs the lower
half at the centre of the shallower cube against the upper half at the centre
of the deeper one, so the centre-only lower bound suffices; it is also the
form for which the index arithmetic is exact.
Provider hypotheses #
Both halves are proved for an abstract depth profile hn : β β β; no
monotonicity, no gap bound and no dimension hypothesis is used. The adjacency
clause adds only 1 β€ hn n for the two layers involved (consequence 3: kβ β₯ 1). Layer indices are automatically β₯ 1 because whitneyLayer m hn 0 = β
.
References #
- ABK26,
sss.whitney.partition;l.bad.clusters.geometry.
Elementary cube arithmetic #
The β^β characterization of CubeTouch at the centres.
Structure of a layer cube #
The interior cube of a layer-n Whitney cube: the depth-n
non-boundary-touching descendant of β‘_m produced by the recursion.
The boundary ancestor of a layer-n Whitney cube: the depth-(n-1)
descendant of β‘_m that still touches ββ‘_m.
Distinct layers of a nondecreasing profile sit at distinct scales, so a Whitney cube determines its layer index.
Additivity of the extreme index #
E_{t+s} = 3^s E_t + E_s: subdividing s further generations rescales the
extreme index and adds the extreme index of the new depth.
The two-sided boundary distance #
, the index bound. A layer-n Whitney cube has every index coordinate at
most E_{n+h_n} - 3^{h_n}: it is a depth-h_n descendant of a non-touching
depth-n cube, whose index is at most E_n - 1.
, the lower half, at the centre: a layer-n Whitney cube has its centre at
β^β distance strictly more than 3^{m-n} from ββ‘_m.
, the upper half: every point of a layer-n Whitney cube is within
3Β·3^{m-n} of ββ‘_m in the β^β sense, because the cube sits inside a
boundary-touching cube of size 3^{m-n+1}.
Layer separation and adjacency #
The layer-separation constant c = 2/3: Whitney cubes two or more layers
apart have centres more than (2/3)Β·3^{m-n} apart in the β^β sense. The
constant is dimension-free.
The adjacency clause: two touching Whitney cubes lie in equal or
neighbouring layers. Per consequence 2 this uses no percolation input and no
largeness of kβ; only h_n β₯ 1 enters.