OAI/Analysis/LipschitzHilbert/Trees/SourceBoundedTreeSize.lean
5 declarations, 0 contain sorry, 0 declared as axioms
Bounded test functions have uniformly bounded coefficient size on a separated source tree. The proof uses the actual analyzing integrals, polynomially weighted synthesis and an integrable reciprocal weight.
- theorem
OAI.LipschitzHilbert.analyzingCoefficient_bounded_energy_leline 16Source documentation
Weighted synthesis duality needs only a bounded test function.
theorem analyzingCoefficient_bounded_energy_le {X I K : Type*} [MeasurableSpace X] [Fintype I] [Fintype K] (μ : Measure X) (area : I → ℝ) (wave : I → K → X → ℂ) (g : X → EuclideanSpace ℂ K) (weight : X → ℝ) (A V M : ℝ) (hA : 0≤A) (hV : 0≤V) (hM : 0≤M) (ha : ∀ i, 0<area i) (hw : ∀ x, 0<weight x) (hrec : MemLp (fun x => (weight x)⁻¹) 2 μ) (hinv : (∫ x, ((weight x)⁻¹)^2 ∂μ)≤V) (hg : ∀ x, ‖g x‖≤M) (hint : ∀ i k, Integrable (fun x => g x k * conj (wave i k x)) μ) (hsyn : ∀ c, MemLp (fun x => weight x • diagonalSynthesis wave c x) 2 μ) (hbound : ∀ c, (∫ x, ‖weight x • diagonalSynthesis wave c x‖^2 ∂μ) ≤ …Mentions: OAI.LipschitzHilbert.diagonalSynthesis
- theorem
OAI.LipschitzHilbert.treeProductPolynomial_reciprocalline 83Source documentation
The reciprocal polynomial square is integrable with only the top area as its scale. The slope shear has Jacobian one.
theorem treeProductPolynomial_reciprocal (a b r W t : ℝ) (hr : 0<r) (hW : 0<W) : MemLp (fun z => (treeProductPolynomial a b r W t z)⁻¹) 2 (volume.prod volume) ∧ (∫ z, ((treeProductPolynomial a b r W t z)⁻¹)^2 ∂volume.prod volume) ≤ 4*Real.pi^2*r*W := by … - theorem
OAI.LipschitzHilbert.SourceLabeledLattice.exists_physical_bounded_tree_sizeline 144Source documentation
A bounded test has bounded size on a separated physical source tree. The constant is independent of the finite scale, packet and vector types.
theorem exists_physical_bounded_tree_size (cStar cEta CEta cb Cb : ℝ) (hcEta : 0<cEta) (hcb : 0≤cb) (hCb : 0≤Cb) (hgap : cStar<cEta*cb) : ∃ C : ℝ, 0<C ∧ ∀ (N : ℕ) (κ : Type) (Label : Fin N → Type) (Item : ∀ j, Label j → Type) [Fintype κ] [∀ j l, Fintype (Item j l)] (P : SourceLabeledLattice N κ Label Item) (B : ℕ), (∀ j, (P.labels j).card≤B) → ∀ (t w a b r : ℝ), 0<w → 0<r → ∀ (beta : P.PacketIndex → κ → ℂ) (g : ℝ×ℝ → EuclideanSpace ℂ κ) (M : ℝ), 0≤M → (∀ q k, ‖beta q k‖≤1) → Measurable g → (∀ z, ‖g z‖≤M) → (∀ j (l : P.labels j) (_u : Item j l), P.length j≤r) → (∀ j l u, |P.actualX j l u-a|≤r) → (∀ j l u, |P.actualZ j l u-b|≤P.width) → … - theorem
OAI.LipschitzHilbert.SourceLabeledLattice.exists_selected_physical_bounded_tree_sizeline 239Source documentation
Restriction is literal: packets outside the selected tree add no hypotheses and the original physical analyzing integrals are retained.
theorem exists_selected_physical_bounded_tree_size (cStar cEta CEta cb Cb : ℝ) (hcEta : 0<cEta) (hcb : 0≤cb) (hCb : 0≤Cb) (hgap : cStar<cEta*cb) : ∃ C : ℝ, 0<C ∧ ∀ (N : ℕ) (κ : Type) (Label : Fin N → Type) (Item : ∀ j, Label j → Type) [Fintype κ] [∀ j l, Fintype (Item j l)] (P : SourceLabeledLattice N κ Label Item) (B : ℕ), (∀ j, (P.labels j).card≤B) → ∀ (t w a b r : ℝ), 0<w → 0<r → ∀ (beta : P.PacketIndex → κ → ℂ) (packets : Finset P.PacketIndex) (g : ℝ×ℝ → EuclideanSpace ℂ κ) (M : ℝ), 0≤M → (∀ q ∈ packets, ∀ k, ‖beta q k‖≤1) → Measurable g → (∀ z, ‖g z‖≤M) → (∀ q ∈ packets, P.length q.1≤r) → (∀ q ∈ packets, |P.actualX q.1 q.2.1 q.2.2-a|≤r) → … - theorem
OAI.LipschitzHilbert.SourceLabeledLattice.exists_frozen_multiplier_bounded_tree_sizeline 290Source documentation
The same size bound for the original source multiplier coefficient, with the selector frozen at the tree direction.
theorem exists_frozen_multiplier_bounded_tree_size (cStar cEta CEta cb Cb : ℝ) (hcEta : 0<cEta) (hcb : 0≤cb) (hCb : 0≤Cb) (hgap : cStar<cEta*cb) : ∃ C : ℝ, 0<C ∧ ∀ (N : ℕ) (κ : Type) (Label : Fin N → Type) (Item : ∀ j, Label j → Type) [Fintype κ] [∀ j l, Fintype (Item j l)] (P : SourceLabeledLattice N κ Label Item) (B : ℕ), (∀ j, (P.labels j).card≤B) → ∀ (t w a z r : ℝ), 0<w → 0<r → ∀ (b : ∀ j, P.labels j → κ → ℝ → ℂ) (packets : Finset P.PacketIndex) (g : ℝ×ℝ → EuclideanSpace ℂ κ) (M : ℝ), 0≤M → (∀ q ∈ packets, ∀ k, ‖b q.1 q.2.1 k t‖≤1) → Measurable g → (∀ x, ‖g x‖≤M) → (∀ q ∈ packets, P.length q.1≤r) → …