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Project-declaredLean 4.32.0 · mathlib@81a5d257c8e4

Forest separation

forest_separation

Plain-language statement

Let uu and uu' be distinct forest tops at level (k,n,j)(k,n,j). If a tile pp belongs to the tree rooted at uu' and its spatial cube lies below the spatial cube of uu, then its phase center is quantitatively far from that of uu at the scale of pp:

2Z(n+1)<dp(Q(p),Q(u)).2^{Z(n+1)}<d_p(\mathcal Q(p),\mathcal Q(u)).

Exact Lean statement

lemma forest_separation (hu : u ∈ 𝔘₃ k n j) (hu' : u' ∈ 𝔘₃ k n j) (huu' : u ≠ u')
    (hp : p ∈ 𝔗₂ k n j u') (h : 𝓘 p ≤ 𝓘 u) : 2 ^ (Z * (n + 1)) < dist_(p) (𝒬 p) (𝒬 u)

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma forest_separation (hu : u  𝔘₃ k n j) (hu' : u'  𝔘₃ k n j) (huu' : u  u')    (hp : p  𝔗₂ k n j u') (h : 𝓘 p  𝓘 u) : 2 ^ (Z * (n + 1)) < dist_(p) (𝒬 p) (𝒬 u) := by  simp_rw [𝔗₂, mem_inter_iff, mem_iUnion₂, mem_iUnion] at hp  obtain mp₆, v, mv, rv, ⟨-, np, sl⟩⟩ := hp  obtain p', mp', lp', sp' := exists_scale_add_le_of_mem_layersAbove <|    (ℭ₆_subset_ℭ₅ |>.trans ℭ₅_subset_ℭ₄ |>.trans ℭ₄_subset_ℭ₃ |>.trans ℭ₃_subset_ℭ₂) mp₆  have np'u : ¬URel k n j v u := by    by_contra h; apply absurd (Eq.symm _) huu'    replace h := equivalenceOn_urel.trans (𝔘₃_subset_𝔘₂ hu') mv (𝔘₃_subset_𝔘₂ hu) rv h    exact EquivalenceOn.reprs_inj hu' hu h  have vnu : v  u := by by_contra h; subst h; exact absurd URel.rfl np'u  simp_rw [URel, vnu, false_or, not_exists, not_and] at np'u  have mpt : p'  𝔗₁ k n j v := by    refine minLayer_subset mp', ?_, ?_    · exact (lp'.1.trans_lt (lt_of_le_of_ne sl.1 np)).ne    · exact (wiggle_order_11_10 lp' (C5_3_3_le (X := X).trans (by norm_num))).trans sl  specialize np'u p' mpt  have 𝓘p'u : 𝓘 p'  𝓘 u := lp'.1.trans h  simp_rw [TileLike.le_def, smul_fst, 𝓘p'u, true_and] at np'u  obtain (q : Θ X), mq, nq := Set.not_subset.mp np'u  change dist_(u) q (𝒬 u) < 1 at mq; change ¬ dist_(p') q (𝒬 p') < 10 at nq; rw [not_lt] at nq  have d8 : 8 < dist_(p') (𝒬 p) (𝒬 u) :=    calc      _ = 10 - 1 - 1 := by norm_num      _ < 10 - 1 - dist_(u) q (𝒬 u) := by gcongr      _  10 - 1 - dist_(p') q (𝒬 u) := tsub_le_tsub_left (Grid.dist_mono 𝓘p'u) _      _  dist_(p') q (𝒬 p') - 1 - dist_(p') q (𝒬 u) := by gcongr      _ < dist_(p') q (𝒬 p') - dist_(p') (𝒬 p) (𝒬 p') - dist_(p') q (𝒬 u) := by        gcongr; rw [ @mem_ball]; exact subset_cball (lp'.2 𝒬_mem_Ω)      _  _ := by        rw [sub_le_iff_le_add', sub_le_iff_le_add]        nth_rw 3 [dist_comm]; apply dist_triangle4  have Znpos : 0 < Z * (n + 1) := by rw [defaultZ]; positivity  let d :  := (𝔰 p - 𝔰 p').toNat  have sd : 𝔰 p' + d = 𝔰 p := by simp_rw [d]; rw [Int.toNat_sub_of_le] <;> lia  have d1 : dist_(p') (𝒬 p) (𝒬 u)  C2_1_2 a ^ d * dist_(p) (𝒬 p) (𝒬 u) :=    Grid.dist_strictMono_iterate lp'.1 sd  have Cdpos : 0 < C2_1_2 a ^ d := by rw [C2_1_2]; positivity  have Cidpos : 0 < (C2_1_2 a)⁻¹ ^ d := by rw [C2_1_2]; positivity  calc    _  (C2_1_2 a)⁻¹ ^ (Z * (n + 1)) := by      refine pow_le_pow_left₀ zero_le_two ?_ _      nth_rw 1 [C2_1_2,  Real.inv_rpow zero_le_two,  Real.rpow_neg_one,         Real.rpow_mul zero_le_two, neg_one_mul,  Real.rpow_one 2]      apply Real.rpow_le_rpow_of_exponent_le one_le_two      simp only [add_mul, neg_mul, neg_add_rev, neg_neg, le_neg_add_iff_add_le]      norm_cast      have : 7 * a  𝕔 * a := by gcongr; exact seven_le_c      linarith [four_le_a X]    _  (C2_1_2 a)⁻¹ ^ d := by      refine pow_le_pow_right₀ ?_ (by lia)      simp_rw [one_le_inv_iff₀, C2_1_2_le_one (X := X), and_true, C2_1_2]; positivity    _  (C2_1_2 a)⁻¹ ^ d * 8 := by nth_rw 1 [ mul_one (_ ^ d)]; gcongr; norm_num    _ < (C2_1_2 a)⁻¹ ^ d * dist_(p') (𝒬 p) (𝒬 u) := by gcongr    _  _ := by      rwa [ mul_le_mul_iff_of_pos_left Cdpos, inv_pow,  mul_assoc, mul_inv_cancel₀ Cdpos.ne',        one_mul]
Project
Carleson formalization
License
Apache-2.0
Commit
74ef907d6bdb
Source
Carleson/Discrete/ForestUnion.lean:374-430

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Project-declaredLean 4.32.0

Ae tendsto zero of distribution le

ae_tendsto_zero_of_distribution_le

Plain-language statement

Suppose that, for every error threshold δ>0\delta>0 and every measure tolerance ε>0\varepsilon>0, one can choose N0N_0 so that the set where supN>N0f(x)FN(x)\sup_{N>N_0}\lVert f(x)-F_N(x)\rVert exceeds δ\delta has measure at most ε\varepsilon. Then FN(x)F_N(x) converges to f(x)f(x) for almost every xx.

harmonic analysisFourier analysismeasure theory

Source project: Carleson formalization

Person-level attribution pending.

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Project-declaredLean 4.32.0

Antichain operator

antichain_operator

Plain-language statement

For an antichain A\mathfrak{A} of pairwise incomparable tiles, and measurable functions ff and gg bounded by the indicators of FF and GG, the pairing of gg with the Carleson sum over A\mathfrak{A} is controlled by the L2L^2 norms of ff and gg and by positive powers of the two tile-density parameters. Concretely, the bound is

C(a,q)dens1(A)(q1)/(8a4)dens2(A)1/q1/2f2g2.C(a,q)\,\mathrm{dens}_1(\mathfrak{A})^{(q-1)/(8a^4)}\,\mathrm{dens}_2(\mathfrak{A})^{1/q-1/2}\,\lVert f\rVert_2\lVert g\rVert_2.

harmonic analysisFourier analysismeasure theory

Source project: Carleson formalization

Person-level attribution pending.

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