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Add lean source and binary files (part 115)
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import OAI.NumberTheory.PrimeGaps.Detectors
namespace OAI
namespace LargePrimeGaps
open Filter
open Set Filter MeasureTheory
open scoped Topology ContDiff
open Asymptotics
open Asymptotics
open Asymptotics
open scoped Classical
open scoped ContDiff
open Topology
open scoped Convolution ContDiff Pointwise
theorem box_series_scaled_tendsto {s K : ℕ} {lam : ℝ} (hlam : 0<lam)
(a : ℕ → Fin s → ℕ)
(ha : ∀ᶠ X : ℕ in atTop, ∀ j,a X j≤K*blockLength lam X) (c : ℂ) :
Tendsto (fun X : ℕ =>
(∑ u∈distinctBox (h:=blockLength lam X) (fun j => (a X j:ℤ)),
(singularSeries (Finset.univ.image (boxTuple (fun j => (a X j:ℤ)) u)):ℂ)*c)/
(Real.log X:ℂ)^s) atTop (𝓝 ((lam:ℂ)^s*c)) := by
classical
let H := blockLength lam
let az := fun X j => (a X j:ℤ)
have hL : ∀ᶠ X : ℕ in atTop,0<Real.log X := by
filter_upwards [eventually_ge_atTop 2] with X hX
exact log_pos_of_two_le hX
have hHL := blockLength_ratio_tendsto hlam.le
have hmean : Tendsto (fun X => singularBoxMean (h:=H X) (az X)) atTop (𝓝 1) := by
apply uniform_singularBoxMean_tendsto s (K:=K+1) (by omega) H az (blockLength_tendsto hlam)
filter_upwards [ha] with X hX
exact natural_boxDiameterBound (a X) hX
have hh := ((Complex.continuous_ofReal.continuousAt.tendsto.comp hHL).pow s).mul
(Complex.continuous_ofReal.continuousAt.tendsto.comp hmean)
have hh' := hh.mul_const c
simp only [Complex.ofReal_one,mul_one] at hh'
apply hh'.congr'
filter_upwards [hL,(blockLength_tendsto hlam).eventually_ge_atTop 1] with X hLX hHX
have hHC : ((H X:ℕ):ℂ)≠0 := by exact_mod_cast (show H X≠0 by dsimp [H]; omega)
have hLC : (Real.log X:ℂ)≠0 := by exact_mod_cast ne_of_gt hLX
change (((H X:ℝ)/(Real.log X):ℝ):ℂ)^s * (singularBoxMean (h:=H X) (az X):ℂ)*c = _
simp only [←Finset.sum_mul,←Complex.ofReal_sum,singularBoxMean,
Complex.ofReal_div,Complex.ofReal_pow,Complex.ofReal_natCast]
dsimp only [az,H]
dsimp only [H] at hHC
rw [div_pow]
field_simp [hHC]
theorem distinctBox_init {s h : ℕ} (a : Fin (s+1) → ℕ) (u : Fin (s+1) → Fin h)
(hu : u∈distinctBox (fun j => (a j:ℤ))) :
(fun j : Fin s => u j.castSucc)∈distinctBox (fun j : Fin s => (a j.castSucc:ℤ)) := by
classical
simp only [distinctBox,Finset.mem_filter,Finset.mem_univ,true_and] at hu ⊢
exact hu.comp (Fin.castSucc_injective s)
theorem patternBoxShifts_ne_mark {n s h : ℕ} (p : Fin n → Fin s)
(a : Fin (s+1) → ℕ) (u : Fin (s+1) → Fin h)
(hu : u∈distinctBox (fun j => (a j:ℤ))) (i : Fin n) :
patternBoxShifts p (fun j => a j.castSucc) (fun j => u j.castSucc) i≠
a (Fin.last s)+(u (Fin.last s):ℕ) := by
intro he
have hj : boxTuple (fun j => (a j:ℤ)) u (p i).castSucc=
boxTuple (fun j => (a j:ℤ)) u (Fin.last s) := by
dsimp only [patternBoxShifts] at he
dsimp only [boxTuple]
exact_mod_cast he
have hi := (Finset.mem_filter.mp hu).2 hj
exact Fin.castSucc_ne_last (p i) hi
theorem marked_patternBoxShifts_image {n s h : ℕ} (p : Fin n → Fin s)
(hp : Function.Surjective p) (a : Fin (s+1) → ℕ) (u : Fin (s+1) → Fin h) :
insert ((a (Fin.last s)+(u (Fin.last s):ℕ):ℕ):ℤ)
(Finset.univ.image fun i => (patternBoxShifts p (fun j => a j.castSucc)
(fun j => u j.castSucc) i:ℤ))=
Finset.univ.image (boxTuple (fun j => (a j:ℤ)) u) := by
classical
rw [patternBoxShifts_image p hp]
ext x
simp only [Finset.mem_insert,Finset.mem_image,Finset.mem_univ,true_and]
constructor
· rintro (rfl | ⟨j,rfl⟩)
· exact ⟨Fin.last s,by simp only [boxTuple,Nat.cast_add]⟩
· exact ⟨j.castSucc,rfl⟩
· rintro ⟨j,rfl⟩
cases j using Fin.lastCases with
| last => left; simp only [boxTuple,Nat.cast_add]
| cast j => exact Or.inr ⟨j,rfl⟩
theorem marked_box_pattern_limit (hBV : BombieriVinogradov) {n s K : ℕ}
{lam : ℝ} (hlam : 0<lam) (p : Fin n → Fin s) (hp : Function.Surjective p)
(a : ℕ → Fin (s+1) → ℕ)
(ha : ∀ᶠ X : ℕ in atTop, ∀ j,a X j≤K*blockLength lam X)
(F : (Fin n → ℝ) → ℝ) (rho : ℝ)
(hrho : 0≤rho) (hrhohalf : rho<1/2) (hbudget : HasBudget F rho)
(hF : HasCompactSupport (fun v : EuclideanSpace ℝ (Fin n) => (F v.ofLp:ℂ)))
(hFs : ContDiff ℝ ∞ (fun v : EuclideanSpace ℝ (Fin n) => (F v.ofLp:ℂ)))
(M : ℝ) (hM : 0≤M) (hbound : ∀ v, (∀ i,0≤v i) → |F v|≤M) :
Tendsto (fun X : ℕ => ∑ u∈distinctBox (h:=blockLength lam X) (fun j => (a X j:ℤ)),
(average X (fun m => divisorSum X F m
(patternBoxShifts p (fun j => a X j.castSucc) (fun j => u j.castSucc))*
theta (m+(a X (Fin.last s)+(u (Fin.last s):ℕ)))):ℂ)/(Real.log X:ℂ)) atTop
(𝓝 ((lam:ℂ)^(s+1)*kernelConstant
(sourceFourier (fourierCoordinateSum (Fin n))
(fun v => (F v.ofLp:ℂ)) hF hFs) (shiftFamily (fun i => ((p i).val:ℤ))))) := by
classical
let B := shiftFamily (fun i => ((p i).val:ℤ))
let c := kernelConstant (sourceFourier (fourierCoordinateSum (Fin n))
(fun v => (F v.ofLp:ℂ)) hF hFs) B
let H := blockLength lam
let az := fun X j => (a X j:ℤ)
let f := fun X (u : Fin (s+1) → Fin (H X)) =>
(average X (fun m => divisorSum X F m
(patternBoxShifts p (fun j => a X j.castSucc) (fun j => u j.castSucc))*
theta (m+(a X (Fin.last s)+(u (Fin.last s):ℕ)))):ℂ)/(Real.log X:ℂ)
let g := fun X (u : Fin (s+1) → Fin (H X)) =>
(singularSeries (Finset.univ.image (boxTuple (az X) u)):ℂ)*c
have hD : (0:ℝ)<(K+1:ℕ)*lam := mul_pos (by positivity) hlam
have hH : ∀ᶠ X : ℕ in atTop, (((K+1)*H X:ℕ):ℝ)≤((K+1:ℕ):ℝ)*lam*(Real.log X)^(1:ℝ) := by
filter_upwards [eventually_ge_atTop 2] with X hX
simpa only [Nat.cast_mul,Real.rpow_one,mul_assoc] using
mul_le_mul_of_nonneg_left (blockLength_le_mul_log hlam.le hX) (Nat.cast_nonneg (K+1))
obtain ⟨E,hE,herr⟩ := marked_average_uniform_asymptotic hBV F rho hrho hrhohalf hbudget
hF hFs M hM hbound B (shiftFamily_nonempty _) s 2 (by omega)
(surjective_shiftFamily_sign_sum p hp) (fun X => (K+1)*H X) hD hH
have hL : ∀ᶠ X : ℕ in atTop,0<Real.log X := by
filter_upwards [eventually_ge_atTop 2] with X hX
exact log_pos_of_two_le hX
have herror : ∀ᶠ X in atTop, ∀ u∈distinctBox (az X),
‖(Real.log X:ℂ)^(s+1)*f X u-g X u‖≤E X := by
filter_upwards [herr,ha,hL,blockLength_densityCutoff_eventually hlam.le (2*(K+1))]
with X hX haX hLX hcut
intro u hu
have hb (j : Fin (s+1)) : a X j+(u j:ℕ)≤(K+1)*H X := by
have hi := (u j).isLt
have hh := haX j
dsimp [H] at hi
dsimp [H]
rw [Nat.add_mul,one_mul]
omega
have hz := hX (patternBoxShifts p (fun j => a X j.castSucc) (fun j => u j.castSucc))
(patternBoxShifts_family p _ _ (distinctBox_init (a X) u hu))
(a X (Fin.last s)+(u (Fin.last s):ℕ)) (hb (Fin.last s))
(patternBoxShifts_ne_mark p (a X) u hu) ((K+1)*H X)
(fun i => hb (p i).castSucc) (hb (Fin.last s))
(by simpa only [Nat.mul_assoc] using hcut)
rw [marked_patternBoxShifts_image p hp] at hz
have hLC : (Real.log X:ℂ)≠0 := by exact_mod_cast ne_of_gt hLX
convert hz using 1
dsimp [f,g,c,az]
congr 1
rw [pow_succ]
field_simp
have he := box_sum_errors_tendsto_zero (s+1) H az (fun X => Real.log X) E lam f g
hL (blockLength_ratio_tendsto hlam.le) hE herror
have hmain : Tendsto (fun X => (∑ u∈distinctBox (az X),g X u)/(Real.log X:ℂ)^(s+1))
atTop (𝓝 ((lam:ℂ)^(s+1)*c)) := by
simpa only [g,az,H,←Finset.sum_mul] using box_series_scaled_tendsto hlam a ha c
have hh := he.add hmain
simp only [sub_add_cancel,zero_add] at hh
exact hh
noncomputable def patternLabels {ι : Type*} [Fintype ι] (r : Setoid ι) :
ι → Fin (Fintype.card (Quotient r)) :=
fun i => Fintype.equivFin (Quotient r) (Quotient.mk r i)
theorem patternLabels_surjective {ι : Type*} [Fintype ι] (r : Setoid ι) :
Function.Surjective (patternLabels r) := by
intro j
obtain ⟨i,hi⟩ := Quotient.mk_surjective ((Fintype.equivFin (Quotient r)).symm j)
refine ⟨i,?_⟩
simp only [patternLabels,hi,Equiv.apply_symm_apply]
theorem patternTupleEquiv_labels {n : ℕ} (r : Setoid (Fin n)) (h a : ℕ)
(b : {b // b∈patternClass (α:=Fin h) r}) :
patternBoxShifts (patternLabels r) (fun _ => a)
(patternTupleEquiv r h a b).val=(fun i => a+(b.val i:ℕ)) := by
funext i
simp only [patternBoxShifts,patternLabels,patternTupleEquiv_apply,Equiv.symm_apply_apply]
rfl
theorem pattern_sum_average_eq_box {n : ℕ} (r : Setoid (Fin n)) (h a X : ℕ)
(F : (Fin n → ℝ) → ℝ) :
(∑ b∈patternClass (α:=Fin h) r,
(average X (fun m => divisorSum X F m (fun i => a+(b i:ℕ))):ℂ))=
∑ u∈distinctBox (s:=Fintype.card (Quotient r)) (h:=h) (fun _ => (a:ℤ)),
(average X (fun m => divisorSum X F m (patternBoxShifts (patternLabels r) (fun _ => a) u)):ℂ) := by
classical
conv_lhs => rw [←Finset.sum_coe_sort]
conv_rhs => rw [←Finset.sum_coe_sort]
apply Fintype.sum_equiv (patternTupleEquiv r h a)
intro b
rw [patternTupleEquiv_labels]
theorem unmarked_pattern_limit {n K : ℕ} {lam : ℝ} (hlam : 0<lam)
(r : Setoid (Fin (n+1))) (a : ℕ → ℕ)
(ha : ∀ᶠ X : ℕ in atTop,a X≤K*blockLength lam X)
(F : (Fin (n+1) → ℝ) → ℝ) (rho : ℝ)
(hrho : 0≤rho) (hrho1 : rho<1) (hbudget : HasBudget F rho)
(hF : HasCompactSupport (fun v : EuclideanSpace ℝ (Fin (n+1)) => (F v.ofLp:ℂ)))
(hFs : ContDiff ℝ ∞ (fun v : EuclideanSpace ℝ (Fin (n+1)) => (F v.ofLp:ℂ)))
(M : ℝ) (hM : 0≤M) (hbound : ∀ v, (∀ i,0≤v i) → |F v|≤M) :
Tendsto (fun X : ℕ => ∑ b∈patternClass (α:=Fin (blockLength lam X)) r,
(average X (fun m => divisorSum X F m (fun i => a X+(b i:ℕ))):ℂ)) atTop
(𝓝 ((lam:ℂ)^Fintype.card (Quotient r)*kernelConstant
(sourceFourier (fourierCoordinateSum (Fin (n+1)))
(fun v => (F v.ofLp:ℂ)) hF hFs)
(shiftFamily (fun i => (numericPattern r i:ℤ))))) := by
have hh := unmarked_box_pattern_limit hlam (patternLabels r) (patternLabels_surjective r)
(fun X _ => a X) (ha.mono (fun _ h _ => h)) F rho hrho hrho1 hbudget hF hFs M hM hbound
have he : (fun X : ℕ => ∑ b∈patternClass (α:=Fin (blockLength lam X)) r,
(average X (fun m => divisorSum X F m (fun i => a X+(b i:ℕ))):ℂ))=
(fun X : ℕ => ∑ u∈distinctBox (h:=blockLength lam X) (fun _ => (a X:ℤ)),
(average X (fun m => divisorSum X F m (patternBoxShifts (patternLabels r) (fun _ => a X) u)):ℂ)) := by
funext X
exact pattern_sum_average_eq_box r _ _ _ F
rw [he]
exact hh
theorem unmarked_labeled_expansion_limit {n K : ℕ} {lam : ℝ} (hlam : 0<lam)
(a : ℕ → ℕ) (ha : ∀ᶠ X : ℕ in atTop,a X≤K*blockLength lam X)
(F : (Fin (n+1) → ℝ) → ℝ) (rho : ℝ)
(hrho : 0≤rho) (hrho1 : rho<1) (hbudget : HasBudget F rho)
(hF : HasCompactSupport (fun v : EuclideanSpace ℝ (Fin (n+1)) => (F v.ofLp:ℂ)))
(hFs : ContDiff ℝ ∞ (fun v : EuclideanSpace ℝ (Fin (n+1)) => (F v.ofLp:ℂ)))
(M : ℝ) (hM : 0≤M) (hbound : ∀ v, (∀ i,0≤v i) → |F v|≤M)
(k : Setoid (Fin (n+1)) → ℂ) :
Tendsto (fun X : ℕ => ∑ b : Fin (n+1) → Fin (blockLength lam X),
k (Setoid.ker b)*(average X (fun m => divisorSum X F m (fun i => a X+(b i:ℕ))):ℂ)) atTop
(𝓝 (∑ r : Setoid (Fin (n+1)),k r*((lam:ℂ)^Fintype.card (Quotient r)*kernelConstant
(sourceFourier (fourierCoordinateSum (Fin (n+1)))
(fun v => (F v.ofLp:ℂ)) hF hFs)
(shiftFamily (fun i => (numericPattern r i:ℤ)))))) := by
classical
have hh := tendsto_finsetSum Finset.univ (fun r _ =>
(unmarked_pattern_limit hlam r a ha F rho hrho hrho1 hbudget hF hFs M hM hbound).const_mul (k r))
apply hh.congr'
exact Eventually.of_forall (fun X => by
dsimp only
calc
(∑ r : Setoid (Fin (n+1)), k r*∑ b∈patternClass (α:=Fin (blockLength lam X)) r,
(average X (fun m => divisorSum X F m (fun i => a X+(b i:ℕ))):ℂ)) =
∑ r : Setoid (Fin (n+1)), ∑ b∈patternClass (α:=Fin (blockLength lam X)) r,
k (Setoid.ker b)*(average X (fun m => divisorSum X F m (fun i => a X+(b i:ℕ))):ℂ) := by
apply Finset.sum_congr rfl
intro r _
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro b hb
rw [(mem_patternClass r b).mp hb]
_ = _ := sum_patterns _
apply Finset.sum_congr (by ext b; simp)
intro b _
rfl)
def permutedLabels {n : ℕ} (e : Equiv.Perm (Fin n)) : Fin (n+n) → Fin n := Fin.append id e
theorem permutedLabels_fiber_sum {n : ℕ} (e : Equiv.Perm (Fin n)) (r : Fin n) {K : Type*} [AddCommMonoid K]
(w : Fin (n+n) → K) :
(∑ i∈Finset.univ.filter (fun i => permutedLabels e i=r), w i)=w (r.castAdd n)+w ((e.symm r).natAdd n) := by
classical
rw [Finset.sum_filter,Fin.sum_univ_add]
simp [permutedLabels,←Equiv.eq_symm_apply]
@[simp] theorem permutedLabels_fiber_card {n : ℕ} (e : Equiv.Perm (Fin n)) (r : Fin n) :
(Finset.univ.filter fun i => permutedLabels e i=r).card=2 := by
simpa using permutedLabels_fiber_sum e r (fun _ => (1:ℕ))
theorem permutedLabels_classical_fiber {n : ℕ} (e : Equiv.Perm (Fin n)) (r : Fin n) :
@Finset.filter (Fin (n+n)) (fun i => permutedLabels e i=r)
(fun _ => Classical.propDecidable _) Finset.univ =
Finset.univ.filter (fun i => permutedLabels e i=r) := by
ext i
simp only [Finset.mem_filter,Finset.mem_univ,true_and]
theorem permutedLabels_kernel {n : ℕ} (e : Equiv.Perm (Fin n)) (w : Fin (n+n) → ℂ) :
familyKernel (fiberSubsetFamily (permutedLabels e) Finset.univ) w =
(∏ i,w i)*(∏ i : Fin n,(w (i.castAdd n)+w ((e.symm i).natAdd n))⁻¹) := by
rw [familyKernel_small_fibers (permutedLabels e) Finset.univ (fun i => Finset.mem_univ _) (by
intro r _
rw [permutedLabels_classical_fiber,permutedLabels_fiber_card])]
simp only [permutedLabels_classical_fiber,permutedLabels_fiber_card,Finset.filter_true,
permutedLabels_fiber_sum]
noncomputable def permutedRay {n : ℕ} (e : Equiv.Perm (Fin n)) (i : Fin n) : EuclideanSpace ℝ (Fin (n+n)) :=
EuclideanSpace.single (i.castAdd n) 1+EuclideanSpace.single ((e.symm i).natAdd n) 1
theorem permutedRay_frequency {n : ℕ} (e : Equiv.Perm (Fin n)) (i : Fin n) (u : EuclideanSpace ℝ (Fin (n+n))) :
laplaceFrequency (fourierCoordinateSum (Fin (n+n))) (permutedRay e i) u =
frequencyW (u (i.castAdd n))+frequencyW (u ((e.symm i).natAdd n)) := by
unfold permutedRay
simp only [laplaceFrequency,map_add,inner_add_right,Complex.ofReal_add,
fourierCoordinateSum_apply]
simp [frequencyW,EuclideanSpace.inner_single_right]
ring
theorem permutedRay_positive {n : ℕ} (e : Equiv.Perm (Fin n)) (i : Fin n) :
0<fourierCoordinateSum (Fin (n+n)) (permutedRay e i) := by
have h := congrArg Complex.re (permutedRay_frequency e i 0)
simp only [laplaceFrequency_re,Complex.add_re,frequencyW_re] at h
rw [h]
norm_num
theorem rayVector_permuted {n : ℕ} (e : Equiv.Perm (Fin n)) (y : Fin n → ℝ) :
(rayVector (permutedRay e) y).ofLp=Fin.append y (y ∘ e) := by
classical
ext i
cases i using Fin.addCases with
| left i => simp [rayVector,permutedRay,WithLp.ofLp_sum,Finset.sum_apply,
smul_eq_mul,Pi.single_apply,Finset.sum_add_distrib,castAdd_ne_addNat_self]
| right i =>
have he (x : Fin n) : i=e.symm x ↔ x=e i := by
constructor
· intro h; rw [h]; simp
· intro h; rw [h]; simp
simp [rayVector,permutedRay,WithLp.ofLp_sum,Finset.sum_apply,
smul_eq_mul,Pi.single_apply,Finset.sum_add_distrib,addNat_ne_castAdd_self,he]
theorem permuted_kernelConstant {n : ℕ} (e : Equiv.Perm (Fin n))
(F : EuclideanSpace ℝ (Fin (n+n)) → ℂ) (hF : HasCompactSupport F) (hFs : ContDiff ℝ ∞ F) :
kernelConstant (sourceFourier (fourierCoordinateSum (Fin (n+n))) F hF hFs)
(fiberSubsetFamily (permutedLabels e) Finset.univ) =
∫ y, signedDirections (coordinateDirectionList (Fin (n+n))) F (rayVector (permutedRay e) y)
∂positiveOrthantMeasure (Fin n) := by
rw [←sourceFourier_derivative_laplace (fourierCoordinateSum (Fin (n+n)))
(coordinateDirectionList (Fin (n+n))) F hF hFs (permutedRay e) (permutedRay_positive e)]
unfold kernelConstant
apply integral_congr_ae
filter_upwards [] with u
rw [contourKernel,permutedLabels_kernel,coordinateDirectionList_multiplier]
simp only [permutedRay_frequency,mul_assoc]
theorem cumulative_tensor_permuted_kernel {n : ℕ} (e : Equiv.Perm (Fin n)) {tau : ℝ}
(f : (Fin n → ℝ) → ℝ) (hf : HasCompactSupport f) (hfs : ContDiff ℝ ∞ f)
(hsupp : tsupport f ⊆ positiveSimplex n tau) (hsym : SymmetricFunction f)
(hF : HasCompactSupport (fun v : EuclideanSpace ℝ (Fin (n+n)) =>
(cumulativeProfile (tau+tau) (tensorProfile f f) v.ofLp:ℂ)))
(hFs : ContDiff ℝ ∞ (fun v : EuclideanSpace ℝ (Fin (n+n)) =>
(cumulativeProfile (tau+tau) (tensorProfile f f) v.ofLp:ℂ))) :
kernelConstant (sourceFourier (fourierCoordinateSum (Fin (n+n)))
(fun v => (cumulativeProfile (tau+tau) (tensorProfile f f) v.ofLp:ℂ)) hF hFs)
(fiberSubsetFamily (permutedLabels e) Finset.univ) = (l2Mass f:ℂ) := by
rw [permuted_kernelConstant]
have he : (∫ y, signedDirections (coordinateDirectionList (Fin (n+n)))
(fun v : EuclideanSpace ℝ (Fin (n+n)) =>
(cumulativeProfile (tau+tau) (tensorProfile f f) v.ofLp:ℂ)) (rayVector (permutedRay e) y)
∂positiveOrthantMeasure (Fin n)) =
∫ y, (f y^2:ℂ) ∂positiveOrthantMeasure (Fin n) := by
apply integral_congr_ae
rw [positiveOrthantMeasure_eq_restrict]
filter_upwards [ae_restrict_mem (MeasurableSet.pi Set.countable_univ (fun _ _ => measurableSet_Ioi))] with y hy
rw [cumulativeProfile_signed_full (tau+tau) (tensorProfile f f)
(tensorProfile_compact f f hf hf) (tensorProfile_smooth f f hfs hfs)
(tensorProfile_tsupport f f hsupp hsupp)]
· rw [rayVector_permuted,tensorProfile_append,hsym,pow_two]
simp only [Complex.ofReal_mul]
· intro i
rw [rayVector_permuted]
cases i using Fin.addCases with
| left i => simpa using (hy i (Set.mem_univ i)).le
| right i => simpa using (hy (e i) (Set.mem_univ (e i))).le
rw [he]
simp_rw [←Complex.ofReal_pow]
rw [integral_complex_ofReal,positiveOrthantMeasure_eq_restrict]
congr 1
unfold l2Mass
apply setIntegral_eq_integral_of_forall_compl_eq_zero
intro y hy
have hfz : f y=0 := by
by_contra hne
exact hy (fun i _ => (hsupp (subset_tsupport f hne)).1 i)
simp [hfz]
def functionPerm {ι α : Type*} (e : Equiv.Perm ι) : (ι → α) ≃ (ι → α) where
toFun f := f ∘ e
invFun f := f ∘ e.symm
left_inv f := by funext i; simp
right_inv f := by funext i; simp
theorem divisorCoefficient_perm {n X : ℕ} (F : (Fin n → ℝ) → ℝ)
(hF : SymmetricFunction F) (e : Equiv.Perm (Fin n)) (d : Fin n → ℕ) :
divisorCoefficient X F (d ∘ e)=divisorCoefficient X F d := by
unfold divisorCoefficient
have he : logCoordinates X (d ∘ e)=(logCoordinates X d) ∘ e := rfl
rw [he,hF]
congr 1
exact Fintype.prod_equiv e _ _ (fun _ => rfl)
theorem divisorSum_perm {n X m : ℕ} (F : (Fin n → ℝ) → ℝ)
(hF : SymmetricFunction F) (e : Equiv.Perm (Fin n)) (b : Fin n → ℕ) :
divisorSum X F m (b ∘ e)=divisorSum X F m b := by
classical
unfold divisorSum
symm
apply Finset.sum_equiv (functionPerm e)
· intro d
simp only [Fintype.mem_piFinset,functionPerm,Equiv.coe_fn_mk,Function.comp_apply]
exact e.surjective.forall
· intro d _
exact (divisorCoefficient_perm F hF e d).symm
theorem injective_same_range_perm {n : ℕ} {α : Type*}
(a b : Fin n → α) (hb : Function.Injective b)
(hab : Set.range a=Set.range b) : ∃ e : Equiv.Perm (Fin n), b=a ∘ e := by
classical
have hs : ∀ i,∃ j,a j=b i := by
intro i
have : b i ∈ Set.range a := hab.symm ▸ Set.mem_range_self i
exact this
choose e he using hs
have hei : Function.Injective e := by
intro i j hij
apply hb
rw [←he i,←he j,hij]
exact ⟨Equiv.ofBijective e ⟨hei,Finite.surjective_of_injective hei⟩,by funext i; exact (he i).symm⟩
noncomputable def weightedBlock {n : ℕ} (X h a : ℕ)
(F : (Fin n → ℝ) → ℝ) (k : Setoid (Fin n) → ℝ) (m : ℕ) : ℝ :=
∑ b : Fin n → Fin h, k (Setoid.ker b)*divisorSum X F m (fun i => a+(b i:ℕ))
noncomputable def tensorCoefficient {n p : ℕ}
(k : Setoid (Fin n) → ℝ) (l : Setoid (Fin p) → ℝ) : Setoid (Fin (n+p)) → ℝ :=
fun r => k (Setoid.comap (Fin.castAdd p) r)*l (Setoid.comap (Fin.natAdd n) r)
@[simp] theorem append_ker_left {n p : ℕ} {α : Type*}
(b : Fin n → α) (c : Fin p → α) :
Setoid.comap (Fin.castAdd p) (Setoid.ker (Fin.append b c))=Setoid.ker b := by
apply Setoid.ext
intro i j
change Fin.append b c (i.castAdd p)=Fin.append b c (j.castAdd p) ↔ b i=b j
simp only [Fin.append_left]
@[simp] theorem append_ker_right {n p : ℕ} {α : Type*}
(b : Fin n → α) (c : Fin p → α) :
Setoid.comap (Fin.natAdd n) (Setoid.ker (Fin.append b c))=Setoid.ker c := by
apply Setoid.ext
intro i j
change Fin.append b c (i.natAdd n)=Fin.append b c (j.natAdd n) ↔ c i=c j
simp only [Fin.append_right]
theorem weightedBlock_mul {n p : ℕ} (X h a m : ℕ)
(F : (Fin n → ℝ) → ℝ) (G : (Fin p → ℝ) → ℝ)
(k : Setoid (Fin n) → ℝ) (l : Setoid (Fin p) → ℝ) :
weightedBlock X h a F k m * weightedBlock X h a G l m =
weightedBlock X h a (tensorProfile F G) (tensorCoefficient k l) m := by
classical
unfold weightedBlock
rw [Finset.sum_mul_sum,←Finset.sum_product']
apply Finset.sum_equiv (Fin.appendEquiv n p)
· intro bc; simp
intro bc _
rw [show (Fin.appendEquiv n p) bc=Fin.append bc.1 bc.2 from rfl]
simp only [tensorCoefficient,append_ker_left,append_ker_right]
have he : (fun i => a+((Fin.append bc.1 bc.2 i :Fin h):ℕ))=
Fin.append (fun i => a+(bc.1 i:ℕ)) (fun i => a+(bc.2 i:ℕ)) := by
funext i
cases i using Fin.addCases <;> simp
rw [he,divisorSum_tensor]
ring
theorem average_weightedBlock (X h a : ℕ) {n : ℕ}
(F : (Fin n → ℝ) → ℝ) (k : Setoid (Fin n) → ℝ) :
average X (weightedBlock X h a F k)=
∑ b : Fin n → Fin h, k (Setoid.ker b)*average X (fun m => divisorSum X F m (fun i => a+(b i:ℕ))) := by
unfold weightedBlock
rw [average_finset_sum]
simp only [average_const_mul]
end LargePrimeGaps
end OAI