Third tree pointwise
TileStructure.Forest.third_tree_pointwise
Plain-language statement
For a tree in the forest, a point in a boundary cube , and a bounded compactly supported function , the oscillatory sum of the error over the relevant scales is bounded pointwise by a constant times the tree’s boundary operator applied to the cube-wise approximation of , evaluated at any other point .
Exact Lean statement
lemma third_tree_pointwise (hu : u ∈ t) (hL : L ∈ 𝓛 (t u)) (hx : x ∈ L) (hx' : x' ∈ L)
(hf : BoundedCompactSupport f) :
‖∑ i ∈ t.σ u x, ∫ y, Ks i x y * (f y - approxOnCube (𝓙 (t u)) f y)‖ₑ ≤
C7_1_6 a * t.boundaryOperator u (approxOnCube (𝓙 (t u)) (‖f ·‖)) x'Formal artifact
Lean source
lemma third_tree_pointwise (hu : u ∈ t) (hL : L ∈ 𝓛 (t u)) (hx : x ∈ L) (hx' : x' ∈ L) (hf : BoundedCompactSupport f) : ‖∑ i ∈ t.σ u x, ∫ y, Ks i x y * (f y - approxOnCube (𝓙 (t u)) f y)‖ₑ ≤ C7_1_6 a * t.boundaryOperator u (approxOnCube (𝓙 (t u)) (‖f ·‖)) x' := by classical let I (i : ℤ) (x : X) := ‖∫ (y : X), Ks i x y * (f y - approxOnCube (𝓙 (t u)) f y)‖ₑ let Js (p : 𝔓 X) := Set.toFinset <| { J ∈ 𝓙 (t u) | ↑J ⊆ ball x (16 * D ^ 𝔰 p) ∧ s J ≤ 𝔰 p } let ps (I : Grid X) := Finset.univ.filter (fun p ↦ p ∈ t u ∧ 𝓘 p = I) let 𝔗_fin := Finset.univ.filter (· ∈ t u) have A5_pos : (defaultA a : ℝ) ^ 5 > 0 := pow_pos (by norm_num) 5 calc _ ≤ ∑ i ∈ t.σ u x, ‖∫ y, Ks i x y * (f y - approxOnCube (𝓙 (t u)) f y)‖ₑ := enorm_sum_le (t.σ u x) _ _ = ∑ p ∈ 𝔗_fin, (E p).indicator 1 x * I (𝔰 p) x := by rw [← p_sum_eq_s_sum I] simp_rw [indicator_eq_indicator_one_mul _ (I _), 𝔗_fin] _ ≤ ∑ p ∈ 𝔗_fin, (E p).indicator 1 x * (D2_1_3 a / (volume (ball x (D ^ 𝔰 p))) * 2 ^ (3 / a : ℝ) * ∑ J ∈ 𝓙' t u (𝔠 p) (𝔰 p), D ^ ((s J - 𝔰 p) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by refine Finset.sum_le_sum fun J hJ ↦ ?_ by_cases xJ : x ∈ E J · rw [indicator_of_mem xJ, Pi.one_apply, one_mul, one_mul] exact L7_1_6_I_le hu hf (Finset.mem_filter.mp hJ).2 xJ · simp only [indicator_of_notMem xJ, zero_mul, le_refl] _ = ∑ I : Grid X, ∑ p ∈ ps I, (E p).indicator 1 x * (D2_1_3 a / (volume (ball x (D ^ s I))) * 2 ^ (3 / a : ℝ) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by let summand := fun (y : X) (i : ℤ) ↦ D2_1_3 a / volume (ball x (D ^ i)) * 2 ^ (3 / a : ℝ) * ∑ J ∈ 𝓙' t u y i, D ^ ((s J - (i : ℝ)) / a) * ∫⁻ y in J, ‖f y‖ₑ exact sum_p_eq_sum_I_sum_p t u x summand _ ≤ ∑ I : Grid X, ∑ p ∈ ps I, (E p).indicator 1 x * (D2_1_3 a / (volume (ball (c I) (16 * D ^ s I)) / defaultA a ^ 5) * 2 ^ (3 / a : ℝ) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by refine Finset.sum_le_sum fun I _ ↦ Finset.sum_le_sum fun p hp ↦ ?_ by_cases xEp : x ∈ E p; swap · simp only [indicator_of_notMem xEp, zero_mul, le_refl] apply mul_le_mul_right gcongr; apply ENNReal.div_le_of_le_mul' calc _ ≤ volume (ball x (32 * D ^ s I)) := by refine measure_mono (ball_subset_ball' ?_) suffices dist (c I) x < 4 * D ^ (s I) by linarith [defaultD_pow_pos a (s I)] exact mem_ball'.mp <| (Finset.mem_filter.mp hp).2.2 ▸ Grid_subset_ball (E_subset_𝓘 xEp) _ ≤ _ := by rw [show (32 : ℝ) = 2 ^ 5 by norm_num] exact measure_ball_two_le_same_iterate x (D ^ s I) 5 _ ≤ ∑ I : Grid X, ((I : Set X).indicator 1 x') * (D2_1_3 a / (volume (ball (c I) (16 * D ^ s I)) / defaultA a ^ 5) * 2 ^ (3 / a : ℝ) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by simp_rw [← Finset.sum_mul] gcongr with I hI by_cases! ex : ∃ p ∈ ps I, x ∈ E p · obtain ⟨p, hp, xEp⟩ := ex have L_subset_I : (L : Set X) ⊆ (I : Set X) := by simp only [ps, Finset.mem_filter] at hp exact hp.2.2 ▸ subset_of_mem_𝓛 hL hp.2.1 (not_disjoint_iff.mpr ⟨x, ⟨E_subset_𝓘 xEp, hx⟩⟩) simp only [L_subset_I hx', indicator_of_mem, Pi.one_apply] rw [Finset.sum_eq_single_of_mem p hp] · exact le_of_eq <| (indicator_eq_one_iff_mem _).mpr xEp · intro p' hp' p'_ne_p simp only [ps, Finset.mem_filter] at hp hp' exact (indicator_eq_zero_iff_notMem _).mpr fun xEp' ↦ disjoint_left.mp (disjoint_Ω p'_ne_p (hp'.2.2.trans hp.2.2.symm)) xEp'.2.1 xEp.2.1 · suffices ∑ p ∈ ps I, (E p).indicator (1 : X → ℝ≥0∞) x = 0 by rw [this]; exact zero_le exact Finset.sum_eq_zero (fun p hp ↦ indicator_of_notMem (ex p hp) _) _ = ∑ I : Grid X, ((I : Set X).indicator 1 x') * ((D2_1_3 a * defaultA a ^ 5 * 2 ^ (3 / a : ℝ)) / volume (ball (c I) (16 * D ^ s I)) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by congr! 2 with I rw [← ENNReal.div_mul _ (.inr (by positivity)) (.inr (by finiteness)), mul_rotate (_ / _), ← mul_div_assoc] congr 2; ring _ ≤ ∑ I : Grid X, ((I : Set X).indicator 1 x') * (C7_1_6 a / volume (ball (c I) (16 * D ^ s I)) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by gcongr; exact le_C7_1_6 (four_le_a X) _ = C7_1_6 a * ∑ I : Grid X, ((I : Set X).indicator 1 x') * (1 / volume (ball (c I) (16 * D ^ s I)) * ∑ J ∈ 𝓙' t u (c I) (s I), D ^ ((s J - s I) / (a : ℝ)) * ∫⁻ y in J, ‖f y‖ₑ) := by rw [Finset.mul_sum]; congr! 1 with I simp_rw [← mul_assoc, ← mul_div_assoc, mul_one, mul_comm (C7_1_6 a : ℝ≥0∞)] _ = _ := by unfold boundaryOperator; congr! 2 with I simp_rw [← indicator_mul_const, Pi.one_apply, one_mul]; congr! 2 rw [Finset.mul_sum]; congr! 2 with J hJ rw [← mul_assoc, mul_comm (_ / _), ← mul_div_assoc, mul_one, ijIntegral]; congr! 1 exact lintegral_eq_lintegral_approxOnCube pairwiseDisjoint_𝓙 (mem_𝓙_of_mem_𝓙' hJ) hf- Project
- Carleson formalization
- License
- Apache-2.0
- Commit
- 74ef907d6bdb
- Source
- Carleson/ForestOperator/PointwiseEstimate.lean:970-1061
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Related declarations
Adjoint Carleson adjoint
adjointCarleson_adjoint
Plain-language statement
adjointCarleson is the adjoint of carlesonOn.
Source project: Carleson formalization
Person-level attribution pending.
Ae tendsto zero of distribution le
ae_tendsto_zero_of_distribution_le
Plain-language statement
Suppose that, for every error threshold and every measure tolerance , one can choose so that the set where exceeds has measure at most . Then converges to for almost every .
Source project: Carleson formalization
Person-level attribution pending.
Antichain operator
antichain_operator
Plain-language statement
For an antichain of pairwise incomparable tiles, and measurable functions and bounded by the indicators of and , the pairing of with the Carleson sum over is controlled by the norms of and and by positive powers of the two tile-density parameters. Concretely, the bound is
Source project: Carleson formalization
Person-level attribution pending.