OAI/Analysis/MassAction/AffineGlobalAssembly.lean
6 declarations, 0 contain sorry, 0 declared as axioms
- theorem
OAI.Problem326.Affine.InCutCell.abs_sub_ltline 16Source documentation
The closed cell between neighboring cuts is contained in the corresponding open localization neighborhood, including all endpoint and tie cases.
theorem InCutCell.abs_sub_lt {n : ℕ} {q : Fin n → ℝ} {a b : ℝ} {t ρ : Fin (n + 1) → ℝ} (hfirst : t 0 - ρ 0 < a) (hlast : b < t (Fin.last n) + ρ (Fin.last n)) (hcuts : ∀ i : Fin n, q i ∈ Set.Ioo (t i.castSucc - ρ i.castSucc) (t i.castSucc + ρ i.castSucc) ∧ q i ∈ Set.Ioo (t i.succ - ρ i.succ) (t i.succ + ρ i.succ)) {j : Fin (n + 1)} {μ : ℝ} (hcell : InCutCell q a b j μ) : |μ - t j| < ρ j := by …Mentions: OAI.Problem326.Affine.InCutCell
- structure
OAI.Problem326.Affine.LocalFamilyDataline 54Source documentation
All data needed from one fixed-minimum construction after its localization radius has been shrunk to retain a stronger offset decay exponent.
structure LocalFamilyData (d : ℕ) [NeZero d] (a b t : ℝ) (E : (Fin d → ℝ) → ℝ) where … - theorem
OAI.Problem326.Affine.localFamilyData_nonempty_of_fixedMinimumline 74Source documentation
The fixed-minimum theorem and stronger individual big-O exponents supply exactly the local data required for global gluing.
theorem localFamilyData_nonempty_of_fixedMinimum {d : ℕ} [NeZero d] (a b t : ℝ) (E : (Fin d → ℝ) → ℝ) (Λ : Finset (Label d)) (hbase : (⟨fun _ => t, fun _ => 0⟩ : Label d) ∈ Λ) (hcube : ∀ L ∈ Λ, Cube a b L.slope) (hlower : ∀ L ∈ Λ, ∀ k, t ≤ L.slope k) (hdecay : ∀ L ∈ Λ, ∃ β : ℝ, t < β ∧ L.offset =O[𝓝[>] (0 : ℝ)] (fun h => h ^ β)) (happrox : ApproximatesAtMinimum Λ a b t E) : Nonempty (LocalFamilyData d a b t E) := by …Mentions: OAI.Problem326.Affine.Label, OAI.Problem326.Affine.Cube, OAI.Problem326.Affine.ApproximatesAtMinimum, OAI.Problem326.Affine.LocalFamilyData
- theorem
OAI.Problem326.Affine.offset_isLittleO_of_exponent_ltline 95Source documentation
A convenient strict-power comparison for offset decay.
theorem offset_isLittleO_of_exponent_lt {c : ℝ → ℝ} {a b : ℝ} (hc : c =o[𝓝[>] (0 : ℝ)] (fun h => h ^ b)) (hab : a < b) : c =o[𝓝[>] (0 : ℝ)] (fun h => h ^ a) := by … - theorem
OAI.Problem326.Affine.exists_global_family_of_local_dataline 108Source documentation
Complete global gluing: one localized family at every possible minimum level gives a fixed finite family on the whole exponent cube. The only input not discharged here is existence of the fixed-minimum local families.
theorem exists_global_family_of_local_data {d : ℕ} [NeZero d] {a b : ℝ} (hab : a ≤ b) (E : (Fin d → ℝ) → ℝ) (hdata : ∀ t ∈ Set.Icc a b, Nonempty (LocalFamilyData d a b t E)) : ∃ Λ : Finset (Label d), Λ.Nonempty ∧ (∀ L ∈ Λ, Cube a b L.slope ∧ L.offset =o[𝓝[>] (0 : ℝ)] (fun h => h ^ a)) ∧ ApproximatesOnCube Λ a b E := by …Mentions: OAI.Problem326.Affine.LocalFamilyData, OAI.Problem326.Affine.Label, OAI.Problem326.Affine.Cube, OAI.Problem326.Affine.ApproximatesOnCube
- theorem
OAI.Problem326.Affine.exists_global_family_of_fixedMinimumline 169Source documentation
Direct interface for the dimension induction: fixed-minimum families with individual stronger big-O exponents imply the complete affine approximation lemma in that dimension.
theorem exists_global_family_of_fixedMinimum {d : ℕ} [NeZero d] {a b : ℝ} (hab : a ≤ b) (E : (Fin d → ℝ) → ℝ) (hfixed : ∀ t ∈ Set.Icc a b, ∃ Λ : Finset (Label d), (⟨fun _ => t, fun _ => 0⟩ : Label d) ∈ Λ ∧ (∀ L ∈ Λ, Cube a b L.slope) ∧ (∀ L ∈ Λ, ∀ k, t ≤ L.slope k) ∧ (∀ L ∈ Λ, ∃ β : ℝ, t < β ∧ L.offset =O[𝓝[>] (0 : ℝ)] (fun h => h ^ β)) ∧ ApproximatesAtMinimum Λ a b t E) : ∃ Λ : Finset (Label d), Λ.Nonempty ∧ (∀ L ∈ Λ, Cube a b L.slope ∧ L.offset =o[𝓝[>] (0 : ℝ)] (fun h => h ^ a)) ∧ …Mentions: OAI.Problem326.Affine.Label, OAI.Problem326.Affine.Cube, OAI.Problem326.Affine.ApproximatesAtMinimum