Download lean/OAI/Probability/LatticeSurface/Dynamics/ProjectionMixture.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.26 kB
| import Mathlib | |
| import OAI.Probability.LatticeSurface.Dynamics.ProjectionPattern | |
| namespace OAI | |
| namespace ProjectionComparison | |
| open Set MeasureTheory | |
| variable {V E : Type*} [Fintype V] [Fintype E] | |
| theorem projection_mixture (S : System V E) (b v₀ v₁ h₀ h₁ : V → ℝ) | |
| (hp₀ : IsProjection S b v₀ h₀) (hp₁ : IsProjection S b v₁ h₁) : | |
| ∃ w : Finset E → ℝ,(∀ F,0≤w F) ∧ (∑ F,w F)=1 ∧ | |
| ∀ x,h₁ x-h₀ x=∑ F,w F*faceAverage S F (fun y => v₁ y-v₀ y) x := by | |
| classical | |
| let hne : (feasible S b).Nonempty := ⟨h₀,hp₀.1⟩ | |
| let H : ℝ → V → ℝ := fun t => project S b hne (fun y => v₀ y+t*(v₁ y-v₀ y)) | |
| have hlip (x : V) : LipschitzWith ‖v₁-v₀‖₊ (fun t => H t x) := project_path_lipschitz S b v₀ v₁ hne x | |
| have hc (x : V) : Continuous (fun t => H t x) := (hlip x).continuous | |
| have hH₀ : H 0=h₀ := by | |
| apply projection_unique S b v₀ _ h₀ _ hp₀ | |
| simpa only [H,zero_mul,add_zero] using project_spec S b hne v₀ | |
| have hH₁ : H 1=h₁ := by | |
| apply projection_unique S b v₁ _ h₁ _ hp₁ | |
| simpa only [H,one_mul,add_sub_cancel] using project_spec S b hne v₁ | |
| have hder : ∀ᵐ t : ℝ,∀ x,deriv (fun s => H s x) t=faceAverage S (activePattern S (H t)) (fun y => v₁ y-v₀ y) x := by | |
| filter_upwards [project_path_ae_derivative S b v₀ v₁ hne] with t ht | |
| have hd := projection_derivative S (fun _ => b) (fun s y => v₀ y+s*(v₁ y-v₀ y)) H | |
| (fun _ => 0) (fun y => v₁ y-v₀ y) (fun y => deriv (fun s => H s y) t) t | |
| (Filter.Eventually.of_forall fun s => project_spec S b hne _) | |
| (fun y => hasDerivAt_const t (b y)) | |
| (fun y => by simpa using (((hasDerivAt_id t).mul_const (v₁ y-v₀ y)).const_add (v₀ y))) | |
| (fun y => (ht y).hasDerivAt) | |
| intro x | |
| unfold faceAverage | |
| rw [faceGraph_pattern,faceComponent_pattern] | |
| split_ifs with hf | |
| · exact hd.2 x hf | |
| · push Not at hf | |
| obtain ⟨p,hp,hxp⟩ := hf | |
| exact hd.1 x p hp hxp | |
| let w : Finset E → ℝ := fun F => ∫ t in (0:ℝ)..1,patternWeight S H F t | |
| refine ⟨w,?_,?_,?_⟩ | |
| · intro F | |
| apply intervalIntegral.integral_nonneg (by norm_num) | |
| intro t ht | |
| unfold patternWeight | |
| split_ifs <;> norm_num | |
| · dsimp only [w] | |
| rw [← intervalIntegral.integral_finsetSum (fun F _ => intervalIntegrable_patternWeight S H hc F)] | |
| simp only [sum_patternWeight] | |
| norm_num | |
| · intro x | |
| have ha : AbsolutelyContinuousOnInterval (fun t => H t x) 0 1 := (hlip x).lipschitzOnWith.absolutelyContinuousOnInterval | |
| calc | |
| h₁ x-h₀ x=H 1 x-H 0 x := by rw [hH₀,hH₁] | |
| _ = ∫ t in (0:ℝ)..1,deriv (fun s => H s x) t := ha.integral_deriv_eq_sub.symm | |
| _ = ∫ t in (0:ℝ)..1,∑ F,patternWeight S H F t*faceAverage S F (fun y => v₁ y-v₀ y) x := by | |
| apply intervalIntegral.integral_congr_ae | |
| filter_upwards [hder] with t ht | |
| intro _ | |
| rw [sum_patternWeight_mul] | |
| exact ht x | |
| _ = ∑ F,w F*faceAverage S F (fun y => v₁ y-v₀ y) x := by | |
| rw [intervalIntegral.integral_finsetSum (fun F _ => (intervalIntegrable_patternWeight S H hc F).mul_const _)] | |
| simp only [intervalIntegral.integral_mul_const,w] | |
| end ProjectionComparison | |
| end OAI | |