openAI-math-dataset / lean /OAI /MathematicalPhysics /DefocusingNLS /Nonlinear /ContinuousTorusAssembly.lean
Download lean/OAI/MathematicalPhysics/DefocusingNLS/Nonlinear/ContinuousTorusAssembly.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.76 kB
| import OAI.MathematicalPhysics.DefocusingNLS.Nonlinear.ContinuousTorusLinearStep | |
| import OAI.MathematicalPhysics.DefocusingNLS.Nonlinear.CutoffCoordinateInverse | |
| namespace OAI | |
| /-! # Continuous normalized torus data from kernel decay and coordinate transfer -/ | |
| open scoped SchwartzMap NNReal | |
| namespace DefocusingNLS | |
| local notation "E" => EuclideanSpace ℝ (Fin 12) | |
| local notation "Radius" => {L : ℝ // 1 ≤ L} | |
| theorem continuous_torusLinearSteps_of_transfer {F : Type*} | |
| [NormedAddCommGroup F] [NormedSpace ℝ F] [FiniteDimensional ℝ F] | |
| (a k : ℝ) (ha : 0 < a) (ha1 : a < 1) (hk : 8 < k) | |
| (χ : 𝓢(E, ℂ)) (ρ : ℝ) (hρ : 0 < ρ) | |
| (hχ : ∀ y : E, ‖y‖ ≤ ρ → χ y = 1) | |
| (π : HomogeneousY a k →L[ℝ] F) | |
| (A : ℝ≥0 → Radius → FourierL2 →L[ℝ] FourierL2) | |
| (hkernel : ∀ β : ℝ, 0 < β → ∃ T₀ : ℝ, 0 ≤ T₀ ∧ | |
| ∀ T : ℝ≥0, T₀ ≤ T → ∃ L₀ : ℝ, ∀ L : Radius, L₀ ≤ L.1 → | |
| ∀ f : FourierL2, ‖f‖ ≤ 1 → | |
| π (homogeneousLocalizationCLM a k L.1 ha ha1 hk L.2 χ f) = 0 → ‖A T L f‖ < β) | |
| (hcoord : ∀ T, HasContractingTorusCoordinateTransfer a k ha ha1 hk χ π T (A T)) | |
| (hA : ∀ T, ∃ C : ℝ, 0 ≤ C ∧ ∀ L, ‖A T L‖ ≤ C) : | |
| ∃ T₀ : ℝ, 0 ≤ T₀ ∧ ∀ T : ℝ≥0, T₀ ≤ T → | |
| HasContinuousTorusLinearStep (F := π.range) T (A T) := by | |
| have hsurj : Function.Surjective π.rangeRestrict := by | |
| rintro ⟨v, u, hu⟩ | |
| exact ⟨u, Subtype.ext hu⟩ | |
| obtain ⟨C, hC, Lf, ζ, hζc, hζ⟩ := exists_continuous_boundedTorusFrame | |
| a k ha ha1 hk χ ρ hρ hχ π.rangeRestrict hsurj | |
| obtain ⟨T₀, hT₀, hT⟩ := hkernel ((1 / 8) / (C * C)) (by positivity) | |
| refine ⟨T₀, hT₀, ?_⟩ | |
| intro T hTT | |
| obtain ⟨Lk, hLk⟩ := hT T hTT | |
| obtain ⟨D, R, hDR, hR, hdefect⟩ := hcoord T | |
| obtain ⟨CA, hCA, hAb⟩ := hA T | |
| obtain ⟨CJ, hCJ, hJ⟩ := exists_homogeneousLocalization_bound a k ha ha1 hk χ | |
| let Cπ := ‖π.rangeRestrict‖ * CJ | |
| have hCπ : 0 ≤ Cπ := mul_nonneg (norm_nonneg π.rangeRestrict) hCJ | |
| apply continuous_torusLinearStep_of_frames T (A T) ζ | |
| (expandingCoordinates a k ha ha1 hk χ π.rangeRestrict) D R hDR hR | |
| (max Lf Lk) C Cπ CA hC.le hCπ hCA | |
| · intro L hL | |
| obtain ⟨he, hz, hp⟩ := hζ L ((le_max_left _ _).trans hL) | |
| exact ⟨fun v => congrArg (fun B : π.range →L[ℝ] π.range => B v) he, hz, | |
| expandingCoordinates_norm_le a k CJ ha ha1 hk hCJ χ π.rangeRestrict hJ L, hp⟩ | |
| · intro L hL | |
| have hLf : Lf ≤ L.1 := (le_max_left _ _).trans hL | |
| have hLR : Lf ≤ (torusEndpointRadius T L).1 := hLf.trans (torusEndpointRadius_ge T L) | |
| have hb := stableProjectedBlock_of_kernel_bound (ζ L) (ζ (torusEndpointRadius T L)) | |
| (expandingCoordinates a k ha ha1 hk χ π.rangeRestrict L) | |
| (expandingCoordinates a k ha ha1 hk χ π.rangeRestrict (torusEndpointRadius T L)) | |
| (A T L) C ((1 / 8) / (C * C)) hC.le (by positivity) | |
| (fun v => congrArg (fun B : π.range →L[ℝ] π.range => B v) (hζ L hLf).1) | |
| (hζ L hLf).2.2 (hζ _ hLR).2.2 | |
| have hunit : ∀ f : FourierL2, ‖f‖ ≤ 1 → | |
| expandingCoordinates a k ha ha1 hk χ π.rangeRestrict L f = 0 → | |
| ‖A T L f‖ ≤ (1 / 8) / (C * C) := by | |
| intro f hf hz | |
| have he : π (homogeneousLocalizationCLM a k L.1 ha ha1 hk L.2 χ f) = 0 := | |
| congrArg (fun v : π.range => (v : F)) hz | |
| exact (hLk L ((le_max_right _ _).trans hL) f hf he).le | |
| apply (hb hunit).trans_eq | |
| field_simp | |
| · exact hAb | |
| · exact hdefect | |
| · apply hζc.mono | |
| intro L hL | |
| exact (le_max_left Lf Lk).trans hL | |
| · exact continuous_expandingCoordinates_apply a k ha ha1 hk χ π.rangeRestrict | |
| end DefocusingNLS | |
| end OAI | |