CubeMonotonicity #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Cube monotonicity of the multiscale lower ellipticity at the centered cubes #
This module supplies it. The centered cube square_{k-1} is the middle
child of square_k — CoarseGraining's middleChild_mem_childCubes at a cube
with vanishing index — so an induction on the depth places square_m in the
descendant tree of square_n.
Main results #
originCube_pred_mem_childCubes:square_{n-1}is a child ofsquare_n.originCube_mem_descendantsAtDepth:square_{n-j}is a depth-jdescendant ofsquare_n.lambdaSq_originCube_le_descendantWeight_mul_lambdaSq: the named cube-monotonicity lemma at the centered pair,lambda_{s,q}(square_n; a) <= 3^{2s(n-m)} lambda_{s,q}(square_m; a).
References #
- ABK26,
l.bad.event.lemma(decomposition, recombination). - ABK26,
e.ellipticities.monotone.ordered.
The centered cubes form a descendant chain #
The centered cube of scale n - 1 is the middle child of the centered cube
of scale n.
The centered cube of scale n - j is a depth-j triadic descendant of the
centered cube of scale n.
The membership. For m <= n the centered cube square_m is a triadic
descendant of square_n at scale m.
Cube monotonicity at the centered pair #
For m <= n,
lambda_{s,q}(square_n; a) <= 3^{2s(n-m)} lambda_{s,q}(square_m; a).
The weight of the previous theorem, in closed form.
lambda_{1/8,2}(square_n; a) <= 3^{(n-m)/4} lambda_{1/8,2}(square_m; a).