Download lean/OAI/Analysis/DiamondDistortion/GraphBounds.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Analysis/DiamondDistortion/GraphBounds.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Analysis/DiamondDistortion/GraphBounds.lean
-
curl -L -o GraphBounds.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Analysis/DiamondDistortion/GraphBounds.lean
6.9 kB
| import OAI.Analysis.DiamondDistortion.StartBounds | |
| namespace OAI | |
| universe u v | |
| noncomputable section | |
| open scoped BigOperators Classical Topology | |
| open Set | |
| namespace DiamondDistortion | |
| open scoped ENNReal | |
| /-- Exact positive-rho qualitative result for the complete finite-forest dual. -/ | |
| theorem forest_normer_first {ε : ℝ} (hε : 0 < ε) : | |
| ∃ ρ : ℝ,0 < ρ ∧ ρ < 1 ∧ Diamond.UnitLensBound ForestDual ε ρ := | |
| Diamond.QuadraticLens.positive_gap forest_quadratic_lens hε | |
| theorem forest_qualitative_backward {D : ℝ} (hD : 1 ≤ D) : | |
| ∃ ρ : ℝ,0 < ρ ∧ ρ < 1 ∧ ∀ (k : ℕ) (f : Diamond.Vertex k → ForestDual) (s : ℝ), | |
| Diamond.HasDistortion k f D s → D⁻¹ ≤ ρ^k := by | |
| have hD0 : 0 < D := by linarith | |
| have hα : 0 < D⁻¹ := inv_pos.2 hD0 | |
| obtain ⟨ρ,hρ,hρ1,hgap⟩ := forest_normer_first hα | |
| refine ⟨ρ,hρ,hρ1,?_⟩ | |
| intro k f s hf | |
| have hn := Diamond.upper_one_normalization f hf | |
| exact Diamond.backward hα ((inv_le_one₀ hD0).mpr hD) hρ.le hρ1 | |
| (hgap.mono_separation (by linarith)) k (fun v => (D*s)⁻¹ • f v) | |
| (fun u v => (hn u v).1) (fun u v => (hn u v).2) | |
| /-- The separately stated exact radial constant C_* = sqrt 2 + sqrt 6. | |
| The proof uses the stronger established bound on the identical norm. -/ | |
| theorem forest_radial_deficit {D s : ℝ} (k : ℕ) (f : Diamond.Vertex k → ForestDual) | |
| (hf : Diamond.HasDistortion k f D s) : | |
| (k:ℝ) ≤ (Real.sqrt 2+Real.sqrt 6)^2*D*(D-1) := by | |
| have hh := headline.1 k f D s hf | |
| have hD : 1 ≤ D := hf.1 | |
| have hD0 : 0 ≤ D := by linarith | |
| have h2 := Real.sq_sqrt (by norm_num : (0:ℝ) ≤ 2) | |
| have h6 := Real.sq_sqrt (by norm_num : (0:ℝ) ≤ 6) | |
| have hp := mul_nonneg (Real.sqrt_nonneg 2) (Real.sqrt_nonneg 6) | |
| have hC : 8 ≤ (Real.sqrt 2+Real.sqrt 6)^2 := by nlinarith | |
| have hb : (k:ℝ) ≤ 8*D*(D-1) := by nlinarith [sq_nonneg (D-1)] | |
| have hm := mul_le_mul_of_nonneg_right hC (mul_nonneg hD0 (by linarith : 0 ≤ D-1)) | |
| nlinarith | |
| namespace Midpoint | |
| variable {X ι : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X] | |
| theorem Heads.vanishing_lens_pos (A : Heads ι X) (hinput : A.TailVanishing) {ε : ℝ} | |
| (hε : 0 < ε) : ∃ ρ : ℝ,0 < ρ ∧ ρ < 1 ∧ Diamond.UnitLensBound X ε ρ := by | |
| obtain ⟨ρ,hρ,hρ1,hlens⟩ := A.vanishing_lens hinput hε | |
| refine ⟨(1+ρ)/2,by linarith,by linarith,?_⟩ | |
| exact fun x z hp hm hs => (hlens x z hp hm hs).trans (by linarith) | |
| end Midpoint | |
| namespace DirectLayers.Regular | |
| variable {X Y I : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X] | |
| [NormedAddCommGroup Y] [NormedSpace ℝ Y] [Preorder I] | |
| lemma transport {A : Midpoint.Heads I X} (hA : Regular A) (e : X ≃ₗᵢ[ℝ] Y) : | |
| Regular (A.transport e) where | |
| nonempty := hA.nonempty | |
| upper := hA.upper | |
| nested_left H K hHK x := by | |
| simp only [Midpoint.Heads.transport_projection,e.symm_apply_apply] | |
| rw [hA.nested_left H K hHK] | |
| nested_right H K hHK x := by | |
| simp only [Midpoint.Heads.transport_projection,e.symm_apply_apply] | |
| rw [hA.nested_right H K hHK] | |
| contractive H x := by | |
| rw [Midpoint.Heads.transport_projection,e.norm_map] | |
| exact (hA.contractive H (e.symm x)).trans_eq (e.symm.norm_map x) | |
| end DirectLayers.Regular | |
| namespace PathModel | |
| open RecursiveModel DirectLayers SignCube | |
| instance linearFullDualSeparable : TopologicalSpace.SeparableSpace (StrongDual ℝ FullLinearSpace) := by | |
| let e := linearFullEquiv.toContinuousLinearEquiv.arrowCongr (ContinuousLinearEquiv.refl ℝ ℝ) | |
| exact e.surjective.denseRange.separableSpace e.continuous | |
| theorem linear_full_weak_graph (hinput : PathApplications.WeakInput FullLinearSpace) | |
| {D s : ℝ} (k : ℕ) (f : Diamond.Vertex k → FullLinearSpace) (hf : Diamond.HasDistortion k f D s) : | |
| 1+(k:ℝ)/64 ≤ D^2 := PathApplications.weak_linear hinput k f hf | |
| theorem linear_full_regular : Regular linearFullHeads := linear_regular.transport linearFullEquiv | |
| theorem full_adaptive_graph (C : ℝ) (hin : SignInput linearFullHeads.projection C) | |
| {D s : ℝ} (k : ℕ) (f : Diamond.Vertex k → FullLinearSpace) | |
| (hf : Diamond.HasDistortion k f D s) : | |
| (k:ℝ)/16 ≤ C*(D^2+(k:ℝ)*((2:ℝ)^k)⁻¹^2) ∧ | |
| C*(D^2+(k:ℝ)*((2:ℝ)^k)⁻¹^2) ≤ C*(D^2+1) := | |
| DirectLayers.adaptive_graph linearFullHeads linear_full_regular hin k f hf | |
| theorem full_predictable_495_graph (hin : PredictableInput linearFullHeads.projection 495) | |
| {D s : ℝ} (k : ℕ) (f : Diamond.Vertex k → FullLinearSpace) | |
| (hf : Diamond.HasDistortion k f D s) : (k:ℝ)/4 ≤ 495*(D+1)^2 := | |
| DirectLayers.predictable_graph linearFullHeads linear_full_regular hin k f hf | |
| theorem full_variation_252_graph (hin : PredictableInput linearFullHeads.projection 252) | |
| {D s : ℝ} (k : ℕ) (f : Diamond.Vertex k → FullLinearSpace) | |
| (hf : Diamond.HasDistortion k f D s) : (k:ℝ)/(16*D^2) ≤ 1008 := | |
| DirectLayers.variation_graph linearFullHeads linear_full_regular hin k f hf | |
| theorem full_leakage_1024_graph (hin : LeakageInput linearFullHeads.projection) | |
| {D s : ℝ} (k : ℕ) (hk : 1 ≤ k) (f : Diamond.Vertex k → FullLinearSpace) | |
| (hf : Diamond.HasDistortion k f D s) : | |
| (k:ℝ)/8 ≤ 1024*(D^2+(k:ℝ)*(leakageTolerance k)^2) ∧ | |
| 1024*(D^2+(k:ℝ)*(leakageTolerance k)^2) ≤ 1024*(D^2+1) := | |
| DirectLayers.leakage_graph linearFullHeads linear_full_regular hin k hk f hf | |
| theorem full_squared_gap_400_graph (hin : GapInput linearFullHeads.projection) | |
| {D s γ : ℝ} (k : ℕ) (f : Diamond.Vertex k → FullLinearSpace) | |
| (hf : Diamond.HasDistortion k f D s) (hγ : 0 < γ) | |
| (hγa : γ < (2/D)/8) (hγk : γ < 1/((k:ℝ)+1)) : | |
| ∃ T : Protocol FullLinearSpace ForestHead k, | |
| T.Martingale ∧ T.Nested ∧ T.Anchored ∧ T.CommonHeads ∧ T.Supported linearFullHeads.projection ∧ | |
| T.terminalEnergy ≤ 4 ∧ T.initialEnergy+(k:ℝ)*((2/D)/8)^2/400 ≤ T.terminalEnergy ∧ | |
| (k:ℝ)*((2/D)/8)^2/400 ≤ T.initialEnergy+(k:ℝ)*((2/D)/8)^2/400 := | |
| DirectLayers.gap_graph linearFullHeads linear_full_regular hin k f hf hγ hγa hγk | |
| end PathModel | |
| namespace RecursiveModel | |
| open RecursiveApplications | |
| /-- The weak-null clause on the literal full ℓ_p recursive-array model. -/ | |
| theorem full_cubic_weak (hinput : CubicInput fullVectorHeads) {ε : ℝ} | |
| (hε : 0 < ε) (hε1 : ε ≤ 1) (x : FullVectorSpace) (z : ℕ → FullVectorSpace) | |
| (hz : Midpoint.WeaklyNull z) (hl : ∀ i,ε ≤ ‖z i‖) | |
| (hp : ∀ i,‖x+z i‖ ≤ 1) (hm : ∀ i,‖x-z i‖ ≤ 1) : ‖x‖ ≤ theta ε := | |
| cubic_weak_lens fullVectorHeads hinput hε hε1 z hz hl hp hm | |
| /-- The infinite separated-lens clause, before the graph specialization. -/ | |
| theorem full_sixth_lens (hinput : SixthInput fullVectorHeads) {ε : ℝ} (hε : 0 < ε) (hε1 : ε ≤ 1) : | |
| Diamond.UnitLensBound FullVectorSpace ε (q6 ε) := | |
| sixth_lens fullVectorHeads hinput hε hε1 | |
| end RecursiveModel | |
| end DiamondDistortion | |
| end | |
| end OAI | |