Plain-language statement
A dependent-random-choice corollary. Let be nonempty, let and , and let be a nonzero even integer satisfying . Then there are sets such that the normalized difference distribution assigns mass at least to the source's sifted set . Both sets retain explicit density: for .
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.densFormal artifact
Lean source
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 := by by_cases hf : ∃ x, x ∈ A - A ∧ (𝟭_[A] ○ᵈ 𝟭_[A]) x ≤ (1 - ε) * ‖𝟭_[(A : Set G), ℝ] ○ᵈ 𝟭_[A]‖_[p, μ univ] · have hp₀ : p ≠ 0 := by positivity have : (4 : ℝ)⁻¹ * A.dens ^ (2 * p) ≤ 4⁻¹ * ‖𝟭_[(A : Set G), ℝ] ○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 : ℝ≥0) : ℝ≥0∞) = 1 := mod_cast sum_mu ℝ≥0 univ_nonempty calc _ = (‖𝟭_[(A : Set G), ℝ] ○ᵈ 𝟭_[A]‖_[1, μ univ] : ℝ) := 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 : ℝ)⁻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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If a finite set is additively dissociated, then its order- additive energy is at most , where is the project's Chang constant. This is the quantitative dissociated-set estimate used in the proof of Chang's lemma.
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.
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Project documentation
An almost-periodicity theorem. Under the small-growth hypothesis , and for nonempty finite sets , there is a set of translations with . Every changes the normalized convolution by at most in .
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.
Linfty almost periodicity boosted
AlmostPeriodicity.linfty_almost_periodicity_boosted
Plain-language statement
A boosted almost-periodicity estimate. Under , it finds a large set , with the stated lower bound , such that averaging the target convolution against the -fold convolution of changes it by at most in .
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.