import Mathlib import OAI.GroupTheory.SimpleAmenable.Arithmetic.DyadicArithmetic import OAI.GroupTheory.SimpleAmenable.RandomFields.PolygonApproxIdentity namespace OAI section section open scoped symmDiff namespace SimpleAmenable open scoped commutatorElement open scoped commutatorElement section CompactSignalEnergy open Classical theorem compactSignal_energy {a m D : ℕ} {v : ℝ×ℝ} (hD : 0 q+ψ x) N z)^2 ≤ C^2 := by obtain ⟨K,hK,hcompact⟩ := hs.exists_pos_le_norm obtain ⟨L₀,L₁,hL₀,hL₁⟩ := compactSignal_uniform_constants ψ hψ hs obtain ⟨C,hC,henergy⟩ := flagSignalDifference_energy (v:=v) hD g (fun x => q+ψ x) hK (by intro x hx; rw [hcompact x hx,add_zero]) L₀.coe_nonneg (by intro x y simp only [add_sub_add_left_eq_sub] 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 ⟨Real.sqrt C,Real.sqrt_nonneg _,?_⟩ simpa only [Real.sq_sqrt hC] using henergy end CompactSignalEnergy section SourceSignalScales open Classical Filter open scoped Topology noncomputable def sourceDyadicMass (n : ℕ) : ℝ := sourceDyadicWeight n*((sourceDyadicIndices n).card:ℝ) theorem sourceDyadicWeight_nonneg (n : ℕ) : 0 ≤ sourceDyadicWeight n := Real.rpow_nonneg (Real.log_nonneg (sourceDyadicN_one_le n)) _ theorem sourceDyadicMass_nonneg (n : ℕ) : 0 ≤ sourceDyadicMass n := mul_nonneg (sourceDyadicWeight_nonneg n) (Nat.cast_nonneg _) theorem sourceDyadicMass_tendsto : Tendsto sourceDyadicMass atTop atTop := by let c := (4*Real.log 2)^(-3/4:ℝ) have hc : 0 c*(n:ℝ)^(1/4:ℝ)) atTop atTop := ((tendsto_rpow_atTop (show (0:ℝ)<1/4 by norm_num)).comp (tendsto_natCast_atTop_atTop (R:=ℝ))).const_mul_atTop hc apply tendsto_atTop_mono' atTop _ ht filter_upwards [eventually_ge_atTop 1] with n hn have hn' : (0:ℝ) lhs; rw [← Real.rpow_one (n:ℝ)] rw [← Real.rpow_add hn'] norm_num calc _ = sourceDyadicWeight n*(n:ℝ) := by rw [hw,← he]; ring _ ≤ _ := by unfold sourceDyadicMass rw [sourceDyadicIndices_card,Nat.cast_add,Nat.cast_one] exact mul_le_mul_of_nonneg_left (by linarith) (sourceDyadicWeight_nonneg n) theorem sourceDyadic_radius_eventually (A : ℝ) : ∀ᶠn : ℕ in atTop,A ≤ (2:ℝ)^n := (tendsto_pow_atTop_atTop_of_one_lt (show (1:ℝ)<2 by norm_num)).eventually_ge_atTop A theorem sourceDyadic_scale_bounds {n i : ℕ} (hi : i∈sourceDyadicIndices n) : 1 ≤ (2:ℝ)^i ∧ (2:ℝ)^i ≤ sourceDyadicN n ∧ (2:ℝ)^i/sourceDyadicN n ≤ (1/4:ℝ)^n := by obtain ⟨hi₀,hi₁⟩ := Finset.mem_Icc.mp hi have hp := pow_le_pow_right₀ (show (1:ℝ)≤2 by norm_num) hi₁ have hN : sourceDyadicN n=((2:ℝ)^(2*n))^2 := by unfold sourceDyadicN; rw [← pow_mul]; congr 1; omega have h4 : (4:ℝ)^n=(2:ℝ)^(2*n) := by rw [pow_mul]; norm_num refine ⟨one_le_pow₀ (by norm_num),?_,?_⟩ · unfold sourceDyadicN exact pow_le_pow_right₀ (by norm_num) (by omega) · calc _ ≤ (2:ℝ)^(2*n)/sourceDyadicN n := div_le_div_of_nonneg_right hp (sourceDyadicN_pos n).le _ = _ := by rw [hN,div_pow,one_pow,h4]; field_simp end SourceSignalScales section WeightedResolvent open Classical Matrix theorem finiteL2Norm_sum {ι α : Type*} [Fintype ι] (I : Finset α) (f : α → ι → ℝ) : finiteL2Norm (∑i∈I,f i) ≤ ∑i∈I,finiteL2Norm (f i) := by induction I using Finset.induction_on with | empty => simp [finiteL2Norm] | @insert i I hi ih => rw [Finset.sum_insert hi,Finset.sum_insert hi] exact (finiteL2Norm_add _ _).trans (add_le_add le_rfl ih) theorem finite_weighted_resolvent {ι α : Type*} [Fintype ι] [DecidableEq ι] (I : Finset α) (M : α → Matrix ι ι ℝ) (hM : ∀i∈I,(M i).PosSemidef) {w E : ℝ} (hw : 0 ≤ w) (hE : 0 ≤ E) (h : ι → ℝ) (he : ∀i∈I,finiteL2Norm (M i*ᵥh-h) ≤ E) : let B := w • ∑i∈I,M i let W := w*(I.card:ℝ) finiteL2Norm ((1+B)⁻¹*ᵥh) ≤ finiteL2Norm h/(1+W)+E := by dsimp only let B := w • ∑i∈I,M i let W := w*(I.card:ℝ) have hB : B.PosSemidef := (Matrix.posSemidef_sum I hM).smul hw have hW : 0 ≤ W := mul_nonneg hw (Nat.cast_nonneg _) have herr : B*ᵥh-W • h = w • ∑i∈I,(M i*ᵥh-h) := by simp only [B,W,Matrix.smul_mulVec,Matrix.sum_mulVec,Finset.sum_sub_distrib, Finset.sum_const, ← Nat.cast_smul_eq_nsmul ℝ,smul_sub,smul_smul] have hb : finiteL2Norm (B*ᵥh-W • h) ≤ W*E := by rw [herr,finiteL2Norm_smul,abs_of_nonneg hw] calc _ ≤ w*(∑i∈I,finiteL2Norm (M i*ᵥh-h)) := mul_le_mul_of_nonneg_left (finiteL2Norm_sum _ _) hw _ ≤ w*(∑_i∈I,E) := mul_le_mul_of_nonneg_left (Finset.sum_le_sum he) hw _ = _ := by simp [W,mul_assoc] change finiteL2Norm ((1+B)⁻¹*ᵥh) ≤ finiteL2Norm h/(1+W)+E have hi := finiteL2Norm_inverse_signal B hB W hW h refine hi.trans ?_ rw [add_div] apply add_le_add le_rfl apply (div_le_iff₀ (show 0<1+W by linarith)).mpr exact hb.trans (by nlinarith) end WeightedResolvent section FiniteSupportEnergy open Classical Matrix theorem finite_support_error_energy {ι : Type*} (J T : Finset ι) (hJT : J⊆T) (M : Matrix ι ι ℝ) (h : ι → ℝ) (hcol : ∀x y,y∉J → M x y*h y=0) (e : ι → ℝ) (he : ∀x,e x=(∑y∈J,M x y*h y)-h x) (hesupp : ∀x,x∉J → e x=0) : finiteL2Norm ((fun (x y : T) => M x y)*ᵥ(fun x : T => h x)-(fun x : T => h x))^2= ∑x∈J,(e x)^2 := by have hsum (x : ι) : (∑y : T,M x y*h y)=∑y∈J,M x y*h y := by rw [Finset.sum_coe_sort T (fun y => M x y*h y)] exact (Finset.sum_subset hJT (fun y _ hy => hcol x y hy)).symm have herr (x : T) : (((fun (x y : T) => M x y)*ᵥ(fun x : T => h x))- (fun x : T => h x)) x=e x := by simp only [Pi.sub_apply,Matrix.mulVec,dotProduct,hsum,he] rw [finiteL2Norm_sq] simp_rw [herr] rw [Finset.sum_coe_sort T (fun x => (e x)^2)] exact (Finset.sum_subset hJT (fun x _ hx => by rw [hesupp x hx]; norm_num)).symm theorem finiteL2Norm_le_of_energy {ι : Type*} [Fintype ι] {x : ι → ℝ} {A B c d : ℝ} (hA : 0≤A) (hB : 0≤B) (hc : 0≤c) (hd : 0≤d) (he : finiteL2Norm x^2 ≤ A*c^2+B*d^2) : finiteL2Norm x ≤ Real.sqrt A*c+Real.sqrt B*d := by have hsA := Real.sq_sqrt hA have hsB := Real.sq_sqrt hB have hnon : 0≤Real.sqrt A*c+Real.sqrt B*d := by positivity apply (sq_le_sq₀ (finiteL2Norm_nonneg _) hnon).mp refine he.trans ?_ nlinarith [mul_nonneg (mul_nonneg (Real.sqrt_nonneg A) hc) (mul_nonneg (Real.sqrt_nonneg B) hd)] end FiniteSupportEnergy end SimpleAmenable end end end OAI