OneStepOddClassCornerMoments #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Affine box-moment comparisons, and the full-met-set fold #
Two L² transfer tools for the corner pricing.
The controlled box comparison (
normalizedL2On_coordBox_affineEval_le_of_controlled): for an affine function and two nondegenerate boxes, if in every coordinate carrying a nonzero slope the first box's edge and centre offset are withinκedges of the second box, then the first seminorm is at most√((24d+1)κ² + 2)times the second. Proof: the proved sharp moment identitynormalizedL2On_coordBox_affineEval_sqon both boxes, the centre shift byaffineEval_eq_center_add, and Cauchy–Schwarz (sq_sum_le_card_mul_sum_sq). This generalizes the proved reverse Chebyshev (normalizedL2On_coordBox_affineEval_half_le) to boxes that are neither concentric nor nested, which is what the window-hugging corner slabs need.The full-met-set fold (
normalizedL2On_reflectedWindow_le_of_faceOdd_forall): a competitor odd under every met-face reflection has doubled-window seminorm at most2^dtimes its window seminorm — 's operator reconciliation composed with the proved cellwiseL²cost of the odd extension. The companionnormalizedL2On_reflectedWindow_affineEval_leprices an arbitrary affine function on the doubled window against the window (instance of 1 atκ = 2: each reflected edge is at most doubled and each centre moves by at most half an edge).
1. L² data of an affine function on a box #
An affine function is square integrable on every coordinate box.
2. The controlled box comparison #
The controlled box comparison for affine functions. If every
nonzero-slope coordinate of B₁ has edge and centre offset within κ edges
of B₂, then ‖ℓ‖_{L²(B₁)} ≤ √((24d+1)κ²+2) ‖ℓ‖_{L²(B₂)}.
3. The doubled window against the window, for affine functions #
An affine function's doubled-window seminorm is controlled by its window
seminorm: the instance of the controlled comparison at κ = 2.
4. The full-met-set fold #
The fold: a competitor odd under every met-face reflection has
doubled-window seminorm at most 2^d times its window seminorm.
5. A seminorm triangle for differences #
‖f − g‖_{L²(W)} ≤ ‖f‖_{L²(W)} + ‖g‖_{L²(W)}.