import Mathlib import OAI.GroupTheory.SimpleAmenable.RandomFields.WeightedAveragingError namespace OAI section section open scoped symmDiff namespace SimpleAmenable open scoped commutatorElement open scoped commutatorElement section SignalCutoff open Classical theorem scaledSiteConjugate_displacement {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 ?_⟩ rw [Prod.norm_def] apply max_le <;> simp only [scaledSiteConjugate,Prod.fst_sub,Prod.snd_sub,Real.norm_eq_abs, ← sub_div,abs_div,abs_of_pos hN] · apply div_le_div_of_nonneg_right _ hN.le exact (le_add_of_nonneg_right (abs_nonneg _)).trans (hb z) · apply div_le_div_of_nonneg_right _ hN.le exact (le_add_of_nonneg_left (abs_nonneg _)).trans (hb z) theorem flagSignalDifference_ne_zero_near {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 q+ψ x) N z≠0) : ‖scaledSiteConjugate N z‖ < K+Q/N := by rw [flagSignalDifference_add_constant] at hz by_cases hh : ψ (scaledSiteConjugate N z)=0 · have hi : ψ (scaledSiteConjugate N (flagSiteAction hD g⁻¹ z))≠0 := by intro he exact hz (by simp [flagSignalDifference,flagMeanSignal,he,hh]) have hn : ‖scaledSiteConjugate N (flagSiteAction hD g⁻¹ z)‖ hi (hcompact _ he)) have ht := norm_le_norm_add_norm_sub (scaledSiteConjugate N (flagSiteAction hD g⁻¹ z)) (scaledSiteConjugate N z) linarith [hdisp z] · have hn : ‖scaledSiteConjugate N z‖ hh (hcompact _ he)) exact hn.trans_le (le_add_of_nonneg_right (div_nonneg hQ hN.le)) theorem flagSignalDifference_cutoff {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 q+ψ x) N w≠0 → χ (scaledSiteConjugate N z)=1 ∧ χ (scaledSiteConjugate N w)=1 := by obtain ⟨Q,hQ,hdisp⟩ := scaledSiteConjugate_displacement (v:=v) hD g⁻¹ refine ⟨Q,hQ,fun N r η hN hQN hη hη₁ z w hkw hw => ?_⟩ have hwn := flagSignalDifference_ne_zero_near hD g ψ q hcompact hQ hN (hdisp N hN) w hw have hQN' : Q/N ≤ 1 := (div_le_one hN).mpr hQN have hn := planeTent_scaled_near hN hη z w ((flagRowTent_ne_zero_iff _ _ _ _).mp hkw).2.2 have hz := norm_le_norm_add_norm_sub (scaledSiteConjugate N w) (scaledSiteConjugate N z) rw [norm_sub_rev] at hz exact ⟨hχ _ (by linarith),hχ _ (by linarith)⟩ theorem compactSignal_amplitude {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 q+ψ x) N z| ≤ C/N := by obtain ⟨L₀,L₁,hL₀,hL₁⟩ := compactSignal_uniform_constants ψ hψ hs obtain ⟨C,hC,hamp⟩ := flagSignalDifference_amplitude (v:=v) hD g ψ L₀.coe_nonneg (by intro x y have hh := hL₀.dist_le_mul x y rw [Real.dist_eq,dist_eq_norm,Prod.norm_def] at hh refine hh.trans (mul_le_mul_of_nonneg_left ?_ L₀.coe_nonneg) simp only [Prod.fst_sub,Prod.snd_sub,Real.norm_eq_abs] exact max_le (le_add_of_nonneg_right (abs_nonneg _)) (le_add_of_nonneg_left (abs_nonneg _))) refine ⟨C,hC,fun N hN z => ?_⟩ rw [flagSignalDifference_add_constant] exact hamp N hN z end SignalCutoff section AveragingL1Rows open Classical theorem flagAveragingMatrix_row_sum {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 flagAveragingMatrix χ ρ N r η κ z w≠0) have he : (∑w∈S,flagAveragingMatrix χ ρ N r η κ z w)= ∑w∈T,flagAveragingMatrix χ ρ N r η κ z w := by symm apply Finset.sum_subset (Finset.filter_subset _ _) intro w hw hwt simpa [T,hw] using hwt rw [he] have hc := flagAveragingMatrix_row_card hD χ ρ κ hN hr hη z T (fun w hw => (Finset.mem_filter.mp hw).2) calc _ ≤ ∑_w∈T,(ρ*(r*η)^2)⁻¹ := Finset.sum_le_sum (fun w _ => (flagAveragingMatrix_entry_bounds χ hχ hρ hN hr hη hκ z w).2) _ = (T.card:ℝ)*(ρ*(r*η)^2)⁻¹ := by simp _ ≤ (4*(D:ℝ)^2*r*η+2)^2*(ρ*(r*η)^2)⁻¹ := mul_le_mul_of_nonneg_right hc (by positivity) _ = _ := by rw [div_eq_mul_inv] theorem flagAveragingMatrix_row_sum_uniform {a m D : ℕ} {v : ℝ×ℝ} (hD : 0