openAI-math-dataset / lean /OAI /MathematicalPhysics /DefocusingNLS /Linear /ExpandingApproximationProduct.lean
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3.53 kB
| import OAI.MathematicalPhysics.DefocusingNLS.Linear.ExpandingApproximationLinear | |
| import OAI.MathematicalPhysics.DefocusingNLS.Linear.ExpandingProductDifference | |
| namespace OAI | |
| /-! # Compact coefficient approximation is preserved by the actual torus product -/ | |
| open Filter Topology | |
| open scoped SchwartzMap | |
| namespace DefocusingNLS | |
| local notation "E" => EuclideanSpace ℝ (Fin 12) | |
| theorem ExpandingCompactApproximation.mul (a k M : ℝ) | |
| (ha : 0 < a) (ha1 : a < 1) (hk : 8 < k) | |
| (L : ℕ → ℝ) (hL : ∀ n, 1 ≤ L n) (hLinf : Tendsto L atTop atTop) | |
| (q r : ℕ → FourierL2) (hq : ExpandingCompactApproximation a k ha1 hk L hL q) | |
| (hr : ExpandingCompactApproximation a k ha1 hk L hL r) | |
| (hqb : ∀ n, ‖q n‖ ≤ M) (hrb : ∀ n, ‖r n‖ ≤ M) : | |
| ExpandingCompactApproximation a k ha1 hk L hL | |
| (fun n => expandingProduct a k (L n) ha ha1 hk (hL n) (q n) (r n)) := by | |
| have hM : 0 ≤ M := (norm_nonneg (q 0)).trans (hqb 0) | |
| let A := expandingAlgebraBound a k | |
| have hA : 0 ≤ A := expandingAlgebraBound_nonneg a k | |
| let C := A * (2 * M + 1) | |
| have hC : 0 ≤ C := by dsimp [C]; positivity | |
| intro ε hε | |
| let δ := min 1 (ε / (C + 1)) | |
| have hδ : 0 < δ := lt_min (by norm_num) (div_pos hε (by positivity)) | |
| have hδ1 : δ ≤ 1 := min_le_left _ _ | |
| have hδε : δ * (C + 1) ≤ ε := (le_div_iff₀ (by positivity : 0 < C + 1)).mp (min_le_right _ _) | |
| obtain ⟨R, K, hK, heq⟩ := hq δ hδ | |
| obtain ⟨S, J, hJ, her⟩ := hr δ hδ | |
| let T := max R S | |
| have hKT : ∀ y : E, T < ‖y‖ → K y = 0 := fun y hy => hK y ((le_max_left R S).trans_lt hy) | |
| have hJT : ∀ y : E, T < ‖y‖ → J y = 0 := fun y hy => hJ y ((le_max_right R S).trans_lt hy) | |
| refine ⟨T, SchwartzMap.smulLeftCLM ℂ K J, ?_, ?_⟩ | |
| · intro y hy | |
| rw [SchwartzMap.smulLeftCLM_apply_apply K.hasTemperateGrowth, hKT y hy, zero_smul] | |
| · filter_upwards [heq, her, hLinf.eventually (eventually_ge_atTop T)] with n hnq hnr hnL | |
| have hsep : 2 * T < 2 * Real.pi * L n := calc | |
| 2 * T ≤ 2 * L n := mul_le_mul_of_nonneg_left hnL (by norm_num) | |
| _ < 2 * Real.pi * L n := mul_lt_mul_of_pos_right | |
| (by linarith [Real.pi_gt_three] : (2 : ℝ) < 2 * Real.pi) (by linarith [hL n]) | |
| rw [← schwartzTorusSample_product a k (L n) T ha ha1 hk (hL n) hsep K J hKT hJT] | |
| have hKB : ‖schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel K)‖ ≤ M + 1 := by | |
| calc | |
| _ ≤ ‖schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel K) - q n‖ + ‖q n‖ := | |
| norm_le_norm_sub_add _ _ | |
| _ ≤ δ + M := add_le_add (by rw [norm_sub_rev]; exact hnq.le) (hqb n) | |
| _ ≤ M + 1 := by linarith | |
| have hb := expandingProduct_difference_norm a k (L n) ha ha1 hk (hL n) (q n) (r n) | |
| (schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel K)) | |
| (schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel J)) | |
| calc | |
| _ ≤ A * (‖q n - schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel K)‖ * ‖r n‖ + | |
| ‖schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel K)‖ * | |
| ‖r n - schwartzTorusSample a k (L n) ha1 hk (hL n) (radianFourierKernel J)‖) := hb | |
| _ ≤ A * (δ * M + (M + 1) * δ) := | |
| mul_le_mul_of_nonneg_left (add_le_add | |
| (mul_le_mul hnq.le (hrb n) (norm_nonneg _) hδ.le) | |
| (mul_le_mul hKB hnr.le (norm_nonneg _) (by linarith))) hA | |
| _ = C * δ := by dsimp [C]; ring | |
| _ < ε := by nlinarith | |
| end DefocusingNLS | |
| end OAI | |