OAI/Analysis/LipschitzHilbert/Phase/AngularSourceWeight.lean
8 declarations, 0 contain sorry, 0 declared as axioms
Boundary masses and logarithmic variation along actual eligible top paths. Every boundary uses the start of the block whose last transition is the current level, in the shared family of all shifted groupings.
- theorem
OAI.LipschitzHilbert.AngularGrid.index_centerline 19 - theorem
OAI.LipschitzHilbert.AngularGrid.boundaryTops_eq_of_cellline 33 - theorem
OAI.LipschitzHilbert.AngularGrid.boundaryMass_eq_of_cellline 42 - def
OAI.LipschitzHilbert.AngularGrid.sourceBoundaryMassline 51 - theorem
OAI.LipschitzHilbert.AngularGrid.sourceBoundaryMass_pathline 57 - theorem
OAI.LipschitzHilbert.AngularGrid.sourceBoundaryMass_boundsline 66 - theorem
OAI.LipschitzHilbert.AngularGrid.source_full_root_log_variationline 81Source documentation
The source's full-root logarithmic bound follows from actual top masses, including all losses of eligibility.
theorem source_full_root_log_variation (g : AngularGrid) (tops : Finset ι) (slope precision : ι → ℝ) (cutoff : ℝ) (weight : ι → X → ℝ) (hp : ∀ i ∈ tops, 0 ≤ precision i) (hw : ∀ i x, 0 < weight i x) {K : ℕ} (hK : 0 < K) (gap : ℕ → ℝ) (N : ℕ) (top : ι) (htop : top ∈ tops) (he : g.eligible cutoff (precision top) N) (x : X) : let n := fun j => g.mass tops slope precision cutoff weight j (g.index j (slope top)) x …Mentions: OAI.LipschitzHilbert.AngularGrid
- theorem
OAI.LipschitzHilbert.AngularGrid.source_hierarchyWeight_variationline 108Source documentation
No positive lower cutoff on a mass is imposed: the assigned top's own weight supplies the endpoint bound.
theorem source_hierarchyWeight_variation (g : AngularGrid) (tops : Finset ι) (slope precision : ι → ℝ) (cutoff : ℝ) (weight : ι → X → ℝ) (hp : ∀ i ∈ tops, 0 ≤ precision i) (hw : ∀ i x, 0 < weight i x) {K : ℕ} (hK : 0 < K) (gap : ℕ → ℝ) (phase : ℕ → ℂ) (N : ℕ) (top : ι) (htop : top ∈ tops) (he : g.eligible cutoff (precision top) N) (x : X) (a Z : ℝ) (ha : 0 ≤ a) (hZ : 0 ≤ Z) (hz0 : ∀ j < N, 0 ≤ (phase j).re) (hz : ∀ j < N, ‖phase j‖ ≤ Z) : let n := fun j => g.mass tops slope precision cutoff weight j (g.index j (slope top)) x …Mentions: OAI.LipschitzHilbert.AngularGrid