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Add lean source and binary files (part 83)
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import Mathlib
import OAI.GroupTheory.SimpleAmenable.RandomFields.CovarianceLimit
import OAI.GroupTheory.SimpleAmenable.RandomFields.CompactSignalEnergy
namespace OAI
section
section
open scoped symmDiff
namespace SimpleAmenable
open scoped commutatorElement
open scoped commutatorElement
section SourceSignalRemainder
open Classical Filter
open scoped Topology
noncomputable def sourceSignalDelta (D : ℕ) (η : ℝ) (n : ℕ) : ℝ :=
38880/((D:ℝ)*Real.sqrt ((2:ℝ)^n*η))
noncomputable def sourceSignalError (A B Cv Ca Cr η κ : ℝ) (D n : ℕ) : ℝ :=
Real.sqrt A*(Cv*η*(1+sourceSignalDelta D η n)+Ca*sourceSignalDelta D η n)+
Real.sqrt B*Real.sqrt (κ+(1/4:ℝ)^n)*(Cr*Ca)
theorem sourceSignalDelta_nonneg (D n : ℕ) (η : ℝ) : 0 ≤ sourceSignalDelta D η n := by
unfold sourceSignalDelta; positivity
theorem sourceSignalDelta_tendsto {D : ℕ} (hD : 0<D) {η : ℝ} (hη : 0<η) :
Tendsto (sourceSignalDelta D η) atTop (nhds 0) := by
have ht := (tendsto_pow_atTop_atTop_of_one_lt (show (1:ℝ)<2 by norm_num)).atTop_mul_const hη
have hd : (0:ℝ)<D := by exact_mod_cast hD
have ht' := (Real.tendsto_sqrt_atTop.comp ht).const_mul_atTop hd
have hh := ht'.inv_tendsto_atTop.const_mul 38880
change Tendsto (fun n => 38880/((D:ℝ)*Real.sqrt ((2:ℝ)^n*η))) atTop (nhds 0)
simpa only [div_eq_mul_inv,mul_zero,Function.comp_apply,Pi.inv_apply] using hh
theorem sourceSignalDelta_bound {D n i : ℕ} {η : ℝ} (hD : 0<D) (hη : 0<η)
(hi : n ≤ i) : 38880/((D:ℝ)*Real.sqrt ((2:ℝ)^i*η)) ≤ sourceSignalDelta D η n := by
have hd : (0:ℝ)<D := by exact_mod_cast hD
apply div_le_div_of_nonneg_left (by norm_num) (by positivity)
exact mul_le_mul_of_nonneg_left (Real.sqrt_le_sqrt
(mul_le_mul_of_nonneg_right (pow_le_pow_right₀ (by norm_num) hi) hη.le)) hd.le
theorem sourceSignalError_nonneg {A B Cv Ca Cr η κ : ℝ} (hCv : 0≤Cv) (hCa : 0≤Ca)
(hCr : 0≤Cr) (hη : 0≤η) (D n : ℕ) : 0 ≤ sourceSignalError A B Cv Ca Cr η κ D n := by
unfold sourceSignalError
positivity [sourceSignalDelta_nonneg D n η]
theorem sourceSignalError_tendsto {D : ℕ} (hD : 0<D) (A B Cv Ca Cr κ : ℝ)
{η : ℝ} (hη : 0<η) :
Tendsto (sourceSignalError A B Cv Ca Cr η κ D) atTop
(nhds (Real.sqrt A*Cv*η+Real.sqrt B*Cr*Ca*Real.sqrt κ)) := by
have hδ := sourceSignalDelta_tendsto hD hη
have hs : Tendsto (fun n : ℕ => (1/4:ℝ)^n) atTop (nhds 0) :=
tendsto_pow_atTop_nhds_zero_of_lt_one (by norm_num) (by norm_num)
have hh := ((hδ.const_add 1).const_mul (Cv*η) |>.add (hδ.const_mul Ca) |>.const_mul (Real.sqrt A)).add
(((hs.const_add κ).sqrt.const_mul (Real.sqrt B)).mul_const (Cr*Ca))
change Tendsto (fun n => Real.sqrt A*(Cv*η*(1+sourceSignalDelta D η n)+Ca*sourceSignalDelta D η n)+
Real.sqrt B*Real.sqrt (κ+(1/4:ℝ)^n)*(Cr*Ca)) atTop _
simpa only [mul_zero,add_zero,mul_one,mul_assoc,mul_left_comm,mul_comm] using hh
theorem sourceSignalBound_tendsto {D : ℕ} (hD : 0<D) (A B Cv Ca Cr C κ : ℝ)
{η : ℝ} (hη : 0<η) :
Tendsto (fun n => C/(1+sourceDyadicMass n)+sourceSignalError A B Cv Ca Cr η κ D n)
atTop (nhds (Real.sqrt A*Cv*η+Real.sqrt B*Cr*Ca*Real.sqrt κ)) := by
have hm : Tendsto (fun n => 1+sourceDyadicMass n) atTop atTop :=
tendsto_atTop_mono (fun n => by linarith : ∀n,sourceDyadicMass n ≤ 1+sourceDyadicMass n) sourceDyadicMass_tendsto
have ht := hm.inv_tendsto_atTop.const_mul C
have ht' : Tendsto (fun n => C/(1+sourceDyadicMass n)) atTop (nhds 0) := by
simpa only [div_eq_mul_inv,mul_zero,Pi.inv_apply] using ht
simpa only [zero_add] using ht'.add (sourceSignalError_tendsto hD A B Cv Ca Cr κ hη)
end SourceSignalRemainder
section PolygonSignalInverse
open Classical Filter Matrix
open scoped Topology
theorem sourceFlagMatrix_inverse_signal {a m D : ℕ} {v : ℝ×ℝ} (hD : 0<D)
(g : polygonFullGroup a m) (ψ χ : (ℝ×ℝ) → ℝ)
(hψ : ContDiff ℝ 2 ψ) (hsψ : HasCompactSupport ψ) (q K L : ℝ)
(hL : 0<L) (hKL : K+2 ≤ L)
(hcompact : ∀x,K ≤ ‖x‖ → ψ x=0)
(hχ : ∀x,χ x∈Set.Icc (0:ℝ) 1)
(hχ₁ : ∀x,‖x‖ ≤ K+2 → χ x=1)
(hχc : ∀x,L ≤ ‖x‖ → χ x=0) :
∃C₁ C₂ : ℝ,0≤C₁ ∧ 0≤C₂ ∧ ∀η : ℝ,0<η → η≤1 → ∀κ : ℝ,0<κ →
∀ε : ℝ,0<ε → ∀ᶠn : ℕ in atTop,
∀T : Finset (FlagSite a m D v),
flagBoxFinset hD (mul_pos (sourceDyadicN_pos n) hL)⊆T →
finiteL2Norm (((1 : Matrix T T ℝ)+(Matrix.of (fun (z w : T) => sourceFlagMatrix (v:=v) χ ((D:ℝ)^4/5) η κ n z.val w.val)))⁻¹*ᵥ
(fun z : T => flagSignalDifference (v:=v) hD g (fun x => q+ψ x) (sourceDyadicN n) z.val)) ≤
C₁*η+C₂*Real.sqrt κ+ε := by
obtain ⟨R,Q,Cv,Ca,hR,hQ,hCv,hCa,happrox⟩ :=
polygon_signal_approx_identity (v:=v) hD g ψ χ hψ hsψ q K L hL hKL hcompact hχ hχ₁ hχc
obtain ⟨C,hC,henergy⟩ := compactSignal_energy (v:=v) hD g ψ hψ hsψ q
let A := flagVolumeConstant m D L
let B := flagExceptionalConstant a m D L
let Cr := flagRowSumConstant D
have hA : 0≤A := by dsimp [A,flagVolumeConstant]; positivity
have hB : 0≤B := by dsimp [B,flagExceptionalConstant]; positivity
have hCr : 0≤Cr := by dsimp [Cr,flagRowSumConstant]; positivity
refine ⟨Real.sqrt A*Cv,Real.sqrt B*Cr*Ca,by positivity,by positivity,
fun η hη hη₁ κ hκ ε hε => ?_⟩
have ht := sourceSignalBound_tendsto hD A B Cv Ca Cr C κ hη
have ht' := ht.eventually_lt_const
(show Real.sqrt A*Cv*η+Real.sqrt B*Cr*Ca*Real.sqrt κ <
(Real.sqrt A*Cv)*η+(Real.sqrt B*Cr*Ca)*Real.sqrt κ+ε by linarith)
filter_upwards [ht',sourceDyadic_radius_eventually Q,sourceDyadic_radius_eventually (36/η),
sourceDyadic_fine_eventually (max R 1) hκ] with n hn hQN hrad hf
intro T hJT
let N := sourceDyadicN n
have hN : 0<N := sourceDyadicN_pos n
have hN₁ : 1≤N := sourceDyadicN_one_le n
have h2N : (2:ℝ)^n≤N := by
unfold N sourceDyadicN
exact pow_le_pow_right₀ (by norm_num) (by omega)
have hQN' : Q≤N := hQN.trans h2N
let J := flagBoxFinset (a:=a) (m:=m) (v:=v) hD (mul_pos hN hL)
let h := flagSignalDifference (v:=v) hD g (fun x => q+ψ x) N
let M : ℕ → Matrix T T ℝ := fun i => (fun (z w : T) => flagAveragingMatrix (a:=a) (m:=m) (D:=D) (v:=v) χ ((D:ℝ)^4/5) N ((2:ℝ)^i) η κ z.val w.val)
have hd : (0:ℝ)<D := by exact_mod_cast hD
have hρ : 0<(D:ℝ)^4/5 := by positivity
have hM (i : ℕ) (hi : i∈sourceDyadicIndices n) : (M i).PosSemidef :=
(flagAveragingMatrix_posSemidef χ hρ hN (by positivity) hκ).submatrix (fun z : T => z.val)
have he (i : ℕ) (hi : i∈sourceDyadicIndices n) :
finiteL2Norm (M i*ᵥ(fun z : T => h z)-(fun z : T => h z)) ≤
sourceSignalError A B Cv Ca Cr η κ D n := by
have his := sourceDyadic_scale_bounds hi
have hiv := (Finset.mem_Icc.mp hi).1
have hri : 36≤(2:ℝ)^i*η := by
apply (div_le_iff₀ hη).mp
exact hrad.trans (pow_le_pow_right₀ (by norm_num) hiv)
have hfR := (le_max_left R 1).trans (hf i hi)
have hf1 := (le_max_right R 1).trans (hf i hi)
have hline : 1≤2*κ/((2:ℝ)^i/N) := by
rw [mul_div_assoc]
linarith
obtain ⟨hesupp,herr⟩ := happrox N ((2:ℝ)^i) η κ hN₁ hQN' his.1 his.2.1 hη hη₁ hκ hri hline hfR
let ei := fun z => (∑w∈J,flagAveragingMatrix χ ((D:ℝ)^4/5) N ((2:ℝ)^i) η κ z w*h w)-h z
have hee := finite_support_error_energy J T hJT
(flagAveragingMatrix χ ((D:ℝ)^4/5) N ((2:ℝ)^i) η κ) h
(by
intro z w hw
rw [flagAveragingMatrix_box_support hD χ hL hN hχc _ _ _ _ z w (Or.inr hw),zero_mul])
ei (fun _ => rfl) hesupp
let δ := 38880/((D:ℝ)*Real.sqrt ((2:ℝ)^i*η))
have hc : 0≤Cv*η*(1+δ)+Ca*δ := by dsimp [δ]; positivity
have hκs : 0≤κ+(2:ℝ)^i/N := by positivity
have hb : finiteL2Norm (M i*ᵥ(fun z : T => h z)-(fun z : T => h z)) ≤
Real.sqrt A*(Cv*η*(1+δ)+Ca*δ)+Real.sqrt (B*(κ+(2:ℝ)^i/N))*(Cr*Ca) := by
apply finiteL2Norm_le_of_energy hA (mul_nonneg hB hκs) hc (mul_nonneg hCr hCa)
rw [hee]
exact herr
rw [Real.sqrt_mul hB] at hb
refine hb.trans ?_
have hd := sourceSignalDelta_bound hD hη hiv
change δ ≤ sourceSignalDelta D η n at hd
dsimp only [sourceSignalError]
gcongr
exact his.2.2
have hs := finite_weighted_resolvent (sourceDyadicIndices n) M hM
(sourceDyadicWeight_nonneg n) (sourceSignalError_nonneg hCv hCa hCr hη.le D n)
(fun z : T => h z) he
have hnorm : finiteL2Norm (fun z : T => h z) ≤ C := by
apply (sq_le_sq₀ (finiteL2Norm_nonneg _) hC).mp
rw [finiteL2Norm_sq]
rw [show (∑i : T,h i.val^2) = ∑i∈T,h i^2 from Finset.sum_coe_sort T (fun i => h i^2)]
exact henergy N hN₁ T
have hmatrix : (sourceDyadicWeight n • ∑i∈sourceDyadicIndices n,M i)=
(fun (z w : T) => sourceFlagMatrix (v:=v) χ ((D:ℝ)^4/5) η κ n z.val w.val) := by
ext z w
simp only [Matrix.smul_apply,smul_eq_mul,Matrix.sum_apply]
simp only [M,N,sourceFlagMatrix]
dsimp only at hs
rw [hmatrix] at hs
change _ ≤ finiteL2Norm (fun z : T => h z)/(1+sourceDyadicMass n)+_ at hs
refine hs.trans ((add_le_add ?_ le_rfl).trans hn.le)
apply div_le_div_of_nonneg_right hnorm
linarith [sourceDyadicMass_nonneg n]
end PolygonSignalInverse
end SimpleAmenable
end
end
end OAI