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Project-declaredLean 4.32.0 · mathlib@81a5d257c8e4

Sifting cor

sifting_cor

Plain-language statement

A dependent-random-choice corollary. Let AA be nonempty, let 0<ε10<\varepsilon\le 1 and δ>0\delta>0, and let pp be a nonzero even integer satisfying ε1log(2/δ)p\varepsilon^{-1}\log(2/\delta)\le p. Then there are sets A1,A2A_1,A_2 such that the normalized difference distribution μA1μA2\mu_{A_1}\mathbin{\circleddash}\mu_{A_2} assigns mass at least 1δ1-\delta to the source's sifted set sp,ε(A)s_{p,\varepsilon}(A). Both sets retain explicit density: dens(Ai)14dens(A)2p\operatorname{dens}(A_i)\ge \tfrac14\operatorname{dens}(A)^{2p} for i=1,2i=1,2.

Exact Lean statement

lemma sifting_cor (hε : 0 < ε) (hε₁ : ε ≤ 1) (hδ : 0 < δ) (hp : Even p) (hp₀ : p ≠ 0)
    (hpε : ε⁻¹ * log (2 / δ) ≤ p) (hA : A.Nonempty) :
    ∃ A₁ A₂, 1 - δ ≤ ∑ x ∈ s p ε univ univ A, (μ A₁ ○ᵈ μ A₂) x ∧
        (4 : ℝ)⁻¹ * A.dens ^ (2 * p) ≤ A₁.dens ∧
          (4 : ℝ)⁻¹ * A.dens ^ (2 * p) ≤ A₂.dens

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma sifting_cor (hε : 0 < ε) (hε₁ : ε  1) (hδ : 0 < δ) (hp : Even p) (hp₀ : p  0)    (hpε : ε⁻¹ * log (2 / δ)  p) (hA : A.Nonempty) :     A₁ A₂, 1 - δ  ∑ x  s p ε univ univ A, (μ A₁ ○ᵈ μ A₂) x         (4 : )⁻¹ * A.dens ^ (2 * p)  A₁.dens           (4 : )⁻¹ * A.dens ^ (2 * p)  A₂.dens := by  by_cases hf :       x, x  A - A  (𝟭_[A] ○ᵈ 𝟭_[A]) x  (1 - ε) * ‖𝟭_[(A : Set G), ] ○ᵈ 𝟭_[A]‖_[p, μ univ]  · have hp₀ : p  0 := by positivity    have :      (4 : )⁻¹ * A.dens ^ (2 * p)         4⁻¹ * ‖𝟭_[(A : Set G), ] ○ᵈ 𝟭_[A]‖_[p, μ univ] ^ (2 * p) / #A ^ (2 * p) := by      rw [mul_div_assoc,  div_pow]      gcongr      rw [nnratCast_dens, le_div_iff₀ (by positivity),  mul_div_right_comm]      have : Nonempty G := hA.choose      have hμ_univ : ∑ x : G, ((μ univ x : 0) : 0∞) = 1 := mod_cast sum_mu 0 univ_nonempty      calc        _ = (‖𝟭_[(A : Set G), ] ○ᵈ 𝟭_[A]‖_[1, μ univ] : ) := by          simp [mu, wLpNorm_smul_right, dL1Norm_dddconv, card_univ, inv_mul_eq_div]        _  _ := wLpNorm_mono_right hμ_univ          (one_le_two.trans <| by obtain k, rfl := hp; norm_cast; lia) _    obtain A₁, -, A₂, -, h, hcard₁, hcard₂ :=      sifting univ univ hε hε₁ hδ hp (by obtain k, rfl := hp; lia) hpε (by simp) hA (by simpa)    exact A₁, A₂, h, this.trans <| by simpa [nnratCast_dens] using hcard₁,      this.trans <| by simpa [nnratCast_dens] using hcard₂  · refine A, A, ?_, ?_    · rw [Fintype.sum_subset]      · simpa [sum_dddconv, sum_mu, hA] using hδ.le      · simpa [ Function.mem_support,  coe_sub] using hf    · rw [and_self]      calc        (4 : )⁻¹ * A.dens ^ (2 * p)  1 * A.dens ^ 1 := by          gcongr ?_ * ?_          · norm_num          · exact pow_le_pow_of_le_one (by positivity) (mod_cast A.dens_le_one) (by omega)        _ = A.dens := by simp
Project
Arithmetic Progressions Almost Periodicity
License
Apache-2.0
Commit
afafc42a5326
Source
APAP/Physics/DRC.lean:267-302

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An LL^\infty almost-periodicity theorem. Under the small-growth hypothesis σ[A,S]K\sigma[A,S]\le K, and for nonempty finite sets B,CB,C, there is a set of translations TT with TK4096L(C/B)/ε2S|T|\ge K^{-4096\lceil\mathcal L(|C|/|B|)\rceil/\varepsilon^2}|S|. Every tTt\in T changes the normalized convolution μA1BμC\mu_A*1_B*\mu_C by at most ε\varepsilon in LL^\infty.

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Source project: Arithmetic Progressions Almost Periodicity

Person-level attribution pending.

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Project-declaredLean 4.32.0

Linfty almost periodicity boosted

AlmostPeriodicity.linfty_almost_periodicity_boosted

Plain-language statement

A boosted LL^\infty almost-periodicity estimate. Under σ[A,S]K\sigma[A,S]\le K, it finds a large set TT, with the stated lower bound TK4096L(C/B)k2/ε2S|T|\ge K^{-4096\lceil\mathcal L(|C|/|B|)\rceil k^2/\varepsilon^2}|S|, such that averaging the target convolution against the kk-fold convolution of μT\mu_T changes it by at most ε\varepsilon in LL^\infty.

additive combinatoricsarithmetic progressionsFourier analysis

Source project: Arithmetic Progressions Almost Periodicity

Person-level attribution pending.

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