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import OAI.Probability.Contingency.DenseAnalytic
namespace OAI
/-! Grid Cover. -/
noncomputable section
open Set MeasureTheory
open Set MeasureTheory
open scoped Pointwise
namespace Contingency.Grid
noncomputable section
variable {q K : ℕ}
open Contingency.Interpolation
theorem neighbors_symm (v w : Fin q → ℕ) (i : Fin q) (hn : neighbors v w i) : neighbors w v i :=
⟨hn.1.symm,fun j hj => (hn.2 j hj).symm⟩
theorem neighbors_unique (v w : Fin q → ℕ) (i j : Fin q)
(hi : neighbors v w i) (hj : neighbors v w j) : i=j := by
by_contra hne
have he := hj.2 i hne
rcases hi.1 with h | h <;> omega
theorem faceBox_swap (v w : Vertex q K) (i : Fin q) (r : ℝ)
(hn : neighbors (corner v) (corner w) i) : faceBox v w i r=faceBox w v i r := by
unfold faceBox
congr 1 <;> funext j <;> split_ifs with hj
· rw [max_comm]
· have hh := hn.2 j hj
dsimp [corner] at hh
rw [hh]
· rw [max_comm]
· have hh := hn.2 j hj
dsimp [corner] at hh
rw [hh]
def Cut (V : Finset (Vertex q K)) :=
{e : Vertex q K×Vertex q K // e.1∈V ∧ e.2∉V ∧ ∃ i,neighbors (corner e.1) (corner e.2) i}
instance cutFintype (V : Finset (Vertex q K)) : Fintype (Cut V) := by unfold Cut; exact Fintype.ofFinite _
def Cut.coord {V : Finset (Vertex q K)} (e : Cut V) : Fin q := Classical.choose e.property.2.2
theorem Cut.adjacent {V : Finset (Vertex q K)} (e : Cut V) :
neighbors (corner e.val.1) (corner e.val.2) e.coord := Classical.choose_spec e.property.2.2
def Cut.neighborhood {V : Finset (Vertex q K)} (e : Cut V) (r : ℝ) : OpenBox q := faceBox e.val.1 e.val.2 e.coord r
theorem cut_cover_endpoints (V : Finset (Vertex q K)) (v w : Vertex q K) (hv : v∈V) (hw : w∉V)
(x z : Fin q → ℝ) (hx : inside (corner v) x) (hz : inside (corner w) z)
(r : ℝ) (hr : r ≤ 1) (hc : ∀ i,|x i-z i|<r) :
∃ e : Cut V,z∈(e.neighborhood r).carrier := by
obtain ⟨u,u',i,hn,hl,hz⟩ := bounded_cut_face V v w hv hw x z hx hz r hr hc
rcases hl with ⟨hu,hu'⟩ | ⟨hu,hu'⟩
· let e : Cut V := ⟨(u,u'),hu,hu',i,hn⟩
have he : e.coord=i := neighbors_unique _ _ _ _ e.adjacent hn
exact ⟨e,by simpa only [Cut.neighborhood,he] using hz⟩
· let e : Cut V := ⟨(u',u),hu',hu,i,neighbors_symm _ _ _ hn⟩
have he : e.coord=i := neighbors_unique _ _ _ _ e.adjacent (neighbors_symm _ _ _ hn)
refine ⟨e,?_⟩
change z∈(faceBox u' u e.coord r).carrier
rw [he,← faceBox_swap u u' i r hn]
exact hz
theorem minkowski_cut_cover (V : Finset (Vertex q K)) (t : ℝ)
(ht : 0<t) (ht1 : t<1) (hr : t*(K:ℝ) ≤ 1) :
∀ᵐ z : Fin q → ℝ ∂volume,
z∈boxUnion (mixBoxes (boxes V) {cube q K} (1-t) t) \ boxUnion (boxes V) →
∃ e : Cut V,z∈(e.neighborhood (t*K)).carrier := by
filter_upwards [ae_no_grid (q:=q)] with z hgrid
rintro ⟨hz,hnz⟩
obtain ⟨x,hx,y,hy,he⟩ := (mem_mixBoxes (boxes V) {cube q K} (1-t) t (by linarith) ht z).mp hz
have hy' : ∀ i,0<y i ∧ y i<(K:ℝ) := (mem_cube y).mp (by simpa [boxUnion] using hy)
have hx' := (mem_cube x).mp (bins_subset_cube V hx)
have he' (i : Fin q) : z i=(1-t)*x i+t*y i := by simpa using (congrFun he i).symm
have hzcube : z∈(cube q K).carrier := by
apply (mem_cube z).mpr
intro i
rw [he']
constructor
· exact add_pos (mul_pos (by linarith) (hx' i).1) (mul_pos ht (hy' i).1)
· have h1 := mul_lt_mul_of_pos_left (hx' i).2 (show 0<1-t by linarith)
have h2 := mul_lt_mul_of_pos_left (hy' i).2 ht
nlinarith only [h1,h2]
obtain ⟨v,hv,hvx⟩ := (mem_boxes V x).mp hx
obtain ⟨w,hwz⟩ := exists_bin z hzcube hgrid
have hw : w∉V := fun hh => hnz ((mem_boxes V z).mpr ⟨w,hh,hwz⟩)
apply cut_cover_endpoints V v w hv hw x z hvx hwz (t*K) hr
intro i
have hd : |x i-y i|<(K:ℝ) := by rw [abs_lt]; constructor <;> linarith [(hx' i).1,(hx' i).2,(hy' i).1,(hy' i).2]
rw [he']
have heq : x i-((1-t)*x i+t*y i)=t*(x i-y i) := by ring
rw [heq,abs_mul,abs_of_pos ht]
exact mul_lt_mul_of_pos_left hd ht
end
end Contingency.Grid
open Set MeasureTheory
open scoped BigOperators
namespace Contingency.Grid
noncomputable section
variable {q K : ℕ}
open Contingency.Interpolation
theorem box_integrable (F : GoodWeight q) (B : OpenBox q) : IntegrableOn F.f B.carrier := by
simpa only [boxUnion,Finset.mem_singleton,iUnion_iUnion_eq_left] using F.integrable {B}
theorem bin_volume (v : Vertex q K) : volume (bin v).carrier=1 := by
simp [bin,OpenBox.carrier,volume_pi_pi]
theorem box_volume_real (B : OpenBox q) (hp : ∀ i,B.lower i ≤ B.upper i) :
(volume B.carrier).toReal=∏ i,(B.upper i-B.lower i) := by
simp only [OpenBox.carrier,volume_pi_pi,Real.volume_Ioo,ENNReal.toReal_prod]
congr 1
funext i
exact ENNReal.toReal_ofReal (sub_nonneg.mpr (hp i))
theorem faceBox_volume (v w : Vertex q K) (i : Fin q) (r : ℝ) (hr : 0 ≤ r) :
(volume (faceBox v w i r).carrier).toReal=2*r*(1+2*r)^(q-1) := by
have hlen (j : Fin q) : (faceBox v w i r).upper j-(faceBox v w i r).lower j=
if j=i then 2*r else 1+2*r := by
dsimp [faceBox]
split_ifs <;> ring
rw [box_volume_real _ (fun j => sub_nonneg.mp (by rw [hlen]; split_ifs <;> positivity))]
simp_rw [hlen]
classical
rw [← Finset.mul_prod_erase Finset.univ (fun j => if j=i then 2*r else 1+2*r) (Finset.mem_univ i)]
simp only [ite_true]
have he : (∏ j∈Finset.univ.erase i,if j=i then 2*r else 1+2*r)=(1+2*r)^(q-1) := by
calc
_ = ∏ _j∈Finset.univ.erase i,(1+2*r) := Finset.prod_congr rfl (fun j hj => ite_eq_right (Finset.ne_of_mem_erase hj))
_ = _ := by simp
rw [he]
theorem integral_boxes (F : GoodWeight q) (V : Finset (Vertex q K)) :
(∫ x in boxUnion (boxes V),F.f x)=∑ v∈V,∫ x in (bin v).carrier,F.f x := by
have hs : boxUnion (boxes V)=⋃ v∈V,(bin v).carrier := by
ext x
simp only [mem_boxes,Set.mem_iUnion,mem_bin]
constructor <;> rintro ⟨v,hv,hx⟩ <;> exact ⟨v,hv,hx⟩
rw [hs]
apply integral_biUnion_finset V
· intro v _; exact (bin v).isOpen.measurableSet
· intro v _ w _ hne; exact bins_disjoint hne
· intro v _; exact box_integrable F (bin v)
theorem bin_integral_bounds (F : GoodWeight q) (W : Vertex q K → ℝ)
(hp : ∀ v x,x∈(bin v).carrier → W v/4 ≤ F.f x ∧ F.f x ≤ 4*W v) (v : Vertex q K) :
W v/4 ≤ ∫ x in (bin v).carrier,F.f x ∧ (∫ x in (bin v).carrier,F.f x) ≤ 4*W v := by
have hi := box_integrable F (bin v)
have hj (a : ℝ) : IntegrableOn (fun _ : Fin q → ℝ => a) (bin v).carrier :=
integrableOn_const (by rw [bin_volume]; exact ENNReal.one_ne_top)
have hc (a : ℝ) : (∫ _ in (bin v).carrier,a)=a := by simp [bin_volume,Measure.real]
constructor
· rw [← hc (W v/4)]
exact setIntegral_mono_on (hj _) hi (bin v).isOpen.measurableSet (fun x hx => (hp v x hx).1)
· rw [← hc (4*W v)]
exact setIntegral_mono_on hi (hj _) (bin v).isOpen.measurableSet (fun x hx => (hp v x hx).2)
theorem boxes_integral_bounds (F : GoodWeight q) (W : Vertex q K → ℝ)
(hp : ∀ v x,x∈(bin v).carrier → W v/4 ≤ F.f x ∧ F.f x ≤ 4*W v) (V : Finset (Vertex q K)) :
(∑ v∈V,W v)/4 ≤ ∫ x in boxUnion (boxes V),F.f x ∧
(∫ x in boxUnion (boxes V),F.f x) ≤ 4*∑ v∈V,W v := by
rw [integral_boxes]
constructor
· rw [Finset.sum_div]
exact Finset.sum_le_sum fun v _ => (bin_integral_bounds F W hp v).1
· rw [Finset.mul_sum]
exact Finset.sum_le_sum fun v _ => (bin_integral_bounds F W hp v).2
end
end Contingency.Grid
open Set MeasureTheory
open scoped BigOperators Pointwise
namespace Contingency.Grid
noncomputable section
variable {q K : ℕ}
open Contingency.Interpolation
theorem face_volume_bound (d : ℝ) (hd : 1 ≤ d) (hq : (q:ℝ) ≤ d)
(v w : Vertex q K) (i : Fin q) :
(volume (faceBox v w i (1/(4*d))).carrier).toReal ≤ 1 := by
have hd0 : 0<d := by linarith
rw [faceBox_volume _ _ _ _ (by positivity)]
have hexp : (1+2*(1/(4*d)))^(q-1) ≤ 2 := by
calc
_ ≤ (Real.exp (2*(1/(4*d))))^(q-1) := by
apply pow_le_pow_left₀ (by positivity)
linarith only [Real.add_one_le_exp (2*(1/(4*d)))]
_ = Real.exp ((q-1:ℕ)*(2*(1/(4*d)))) := (Real.exp_nat_mul _ _).symm
_ ≤ Real.exp (1/2) := by
apply Real.exp_le_exp.mpr
have hq' : ((q-1:ℕ):ℝ) ≤ d := (Nat.cast_le.mpr (Nat.sub_le q 1)).trans hq
have he : ((q-1:ℕ):ℝ)*(2*(1/(4*d)))=((q-1:ℕ):ℝ)/(2*d) := by ring
rw [he]
apply (div_le_iff₀ (by positivity : 0<2*d)).mpr
linarith only [hq']
_ ≤ 2 := by have hh := Real.exp_bound_div_one_sub_of_interval (x:=1/2) (by norm_num) (by norm_num); norm_num at hh ⊢; exact hh
have hmul := mul_le_mul_of_nonneg_left hexp (show 0 ≤ 2*(1/(4*d)) by positivity)
calc
_ ≤ 2*(1/(4*d))*2 := hmul
_ = 1/d := by ring
_ ≤ 1 := (div_le_one hd0).mpr hd
theorem integral_cover (F : GoodWeight q) (V : Finset (Vertex q K)) (t : ℝ)
(ht : 0<t) (ht1 : t<1) (hr : t*(K:ℝ) ≤ 1) :
(∫ z in boxUnion (mixBoxes (boxes V) {cube q K} (1-t) t) \ boxUnion (boxes V),F.f z) ≤
∑ e : Cut V,∫ z in (e.neighborhood (t*K)).carrier,F.f z := by
classical
let G := boxUnion (mixBoxes (boxes V) {cube q K} (1-t) t) \ boxUnion (boxes V)
have hG : MeasurableSet G := (boxUnion_measurable _).diff (boxUnion_measurable _)
have hiG : Integrable (G.indicator F.f) :=
((F.integrable _).mono_set sdiff_subset).integrable_indicator hG
have hi (e : Cut V) : Integrable ((e.neighborhood (t*K)).carrier.indicator F.f) :=
(box_integrable F _).integrable_indicator (e.neighborhood (t*K)).isOpen.measurableSet
have hh : (∫ z,G.indicator F.f z) ≤ ∫ z,∑ e : Cut V,(e.neighborhood (t*K)).carrier.indicator F.f z := by
apply integral_mono_ae hiG (integrable_finsetSum _ (fun e _ => hi e))
filter_upwards [minkowski_cut_cover V t ht ht1 hr] with z hz
have hnon (e : Cut V) : 0 ≤ (e.neighborhood (t*K)).carrier.indicator F.f z := by
by_cases he : z∈(e.neighborhood (t*K)).carrier <;> simp [he,(F.positive z).le]
by_cases hzG : z∈G
· obtain ⟨e,he⟩ := hz hzG
rw [Set.indicator_of_mem hzG]
calc
_ = (e.neighborhood (t*K)).carrier.indicator F.f z := (Set.indicator_of_mem he _).symm
_ ≤ _ := Finset.single_le_sum (fun e _ => hnon e) (Finset.mem_univ e)
· rw [Set.indicator_of_notMem hzG]
exact Finset.sum_nonneg fun e _ => hnon e
rw [integral_indicator hG,integral_finsetSum _ (fun e _ => hi e)] at hh
simp_rw [integral_indicator ((Cut.neighborhood _ _).isOpen.measurableSet)] at hh
exact hh
end
end Contingency.Grid
open Set MeasureTheory
open scoped BigOperators Pointwise
namespace Contingency.Grid
noncomputable section
variable {q K : ℕ}
open Contingency.Interpolation
def border (V : Finset (Vertex q K)) (W : Vertex q K → ℝ) : ℝ :=
∑ e : Cut V,min (W e.val.1) (W e.val.2)
def Cut.reverse (V : Finset (Vertex q K)) : Cut V ≃ Cut Vᶜ where
toFun e := ⟨(e.val.2,e.val.1),by
refine ⟨by simpa using e.property.2.1,by simpa using e.property.1,?_⟩
exact ⟨e.coord,neighbors_symm _ _ _ e.adjacent⟩⟩
invFun e := ⟨(e.val.2,e.val.1),by
refine ⟨by simpa using e.property.2.1,by simpa using e.property.1,?_⟩
exact ⟨e.coord,neighbors_symm _ _ _ e.adjacent⟩⟩
left_inv _ := rfl
right_inv _ := rfl
theorem border_compl (V : Finset (Vertex q K)) (W : Vertex q K → ℝ) :
border Vᶜ W=border V W := by
unfold border
rw [← (Cut.reverse V).sum_comp (fun e => min (W e.val.1) (W e.val.2))]
apply Finset.sum_congr rfl
intro e _
exact min_comm _ _
theorem mass_partition (F : GoodWeight q) (V : Finset (Vertex q K)) :
(∫ x in boxUnion (boxes V),F.f x)+(∫ x in boxUnion (boxes Vᶜ),F.f x)=
∫ x in (cube q K).carrier,F.f x := by
rw [integral_boxes,integral_boxes,Finset.sum_add_sum_compl]
rw [← integral_boxes F Finset.univ]
exact setIntegral_congr_set cube_ae_union
theorem boxes_nonempty (V : Finset (Vertex q K)) (hV : V.Nonempty) :
(boxUnion (boxes V)).Nonempty := by
obtain ⟨v,hv⟩ := hV
refine ⟨fun i => (v i:ℝ)+1/2,(mem_boxes V _).mpr ⟨v,hv,?_⟩⟩
intro i
dsimp [corner]
constructor <;> linarith
theorem face_integral_bound (F : GoodWeight q) (W : Vertex q K → ℝ)
(hW : ∀ v,0 ≤ W v) (d : ℝ) (hd : 1 ≤ d) (hq : (q:ℝ) ≤ d)
(hp : ∀ (v w : Vertex q K) (i : Fin q),neighbors (corner v) (corner w) i →
∀ x,x∈(faceBox v w i (1/(4*d))).carrier → F.f x ≤ 4*min (W v) (W w))
(V : Finset (Vertex q K)) (e : Cut V) :
(∫ x in (e.neighborhood (1/(4*d))).carrier,F.f x) ≤ 4*min (W e.val.1) (W e.val.2) := by
let B := e.neighborhood (1/(4*d))
calc
_ ≤ ∫ _x in B.carrier,4*min (W e.val.1) (W e.val.2) :=
setIntegral_mono_on (box_integrable F B) (integrableOn_const B.isBounded.measure_lt_top.ne) B.isOpen.measurableSet
(hp _ _ _ e.adjacent)
_ = (volume B.carrier).toReal*(4*min (W e.val.1) (W e.val.2)) := by simp [Measure.real]
_ ≤ _ := by
exact mul_le_of_le_one_left (mul_nonneg (by norm_num) (le_min (hW _) (hW _))) (face_volume_bound d hd hq _ _ _)
theorem small_side_border (F : GoodWeight q) (W : Vertex q K → ℝ)
(hW : ∀ v,0 ≤ W v) (d : ℝ) (hd : 1 ≤ d) (hq : (q:ℝ) ≤ d) (hK : 1 ≤ K)
(hc : ∀ x y (α β : ℝ),0 ≤ α → 0 ≤ β → α+β=1 → F.f x^α*F.f y^β ≤ F.f (α • x+β • y))
(hb : ∀ v x,x∈(bin v).carrier → W v/4 ≤ F.f x ∧ F.f x ≤ 4*W v)
(hp : ∀ (v w : Vertex q K) (i : Fin q),neighbors (corner v) (corner w) i →
∀ x,x∈(faceBox v w i (1/(4*d))).carrier → F.f x ≤ 4*min (W v) (W w))
(V : Finset (Vertex q K)) (hV : V.Nonempty)
(hsmall : 2*(∫ x in boxUnion (boxes V),F.f x) ≤ ∫ x in (cube q K).carrier,F.f x) :
Real.log 2/(64*d*K)*(∑ v∈V,W v) ≤ border V W := by
let t : ℝ := 1/(4*d*K)
have hd0 : 0<d := by linarith
have hK' : (1:ℝ) ≤ K := by exact_mod_cast hK
have hK0 : (0:ℝ)<K := by linarith
have ht : 0<t := by dsimp [t]; positivity
have ht1 : t<1 := by dsimp [t]; apply (div_lt_one (by positivity)).mpr; nlinarith
have hr : t*(K:ℝ)=1/(4*d) := by dsimp [t]; field_simp
have hr1 : t*(K:ℝ) ≤ 1 := by rw [hr]; apply (div_le_one (by positivity)).mpr; linarith
have hsub : boxUnion (boxes V) ⊆ boxUnion ({cube q K} : Finset (OpenBox q)) := by
simpa only [boxUnion,Finset.mem_singleton,iUnion_iUnion_eq_left] using bins_subset_cube V
have hgain := mass_gain (boxes V) {cube q K} F hsub (boxes_nonempty V hV)
(by simpa only [boxUnion,Finset.mem_singleton,iUnion_iUnion_eq_left] using hsmall) t ht ht1
(fun x y => hc x y (1-t) t (by linarith) ht.le (by ring))
have hcover := integral_cover F V t ht ht1 hr1
rw [hr] at hcover
have hface : (∑ e : Cut V,∫ x in (e.neighborhood (1/(4*d))).carrier,F.f x) ≤ 4*border V W := by
unfold border
rw [Finset.mul_sum]
exact Finset.sum_le_sum fun e _ => face_integral_bound F W hW d hd hq hp V e
have hlower := (boxes_integral_bounds F W hb V).1
have hlog : 0<Real.log 2 := Real.log_pos (by norm_num)
have hmult := mul_le_mul_of_nonneg_left hlower (mul_nonneg ht.le hlog.le)
have he : t*Real.log 2*((∑ v∈V,W v)/4)/4=Real.log 2/(64*d*K)*(∑ v∈V,W v) := by dsimp [t]; ring
rw [← he]
linarith only [hmult,hgain,hcover,hface]
theorem border_bound (F : GoodWeight q) (W : Vertex q K → ℝ)
(hW : ∀ v,0 ≤ W v) (d : ℝ) (hd : 1 ≤ d) (hq : (q:ℝ) ≤ d) (hK : 1 ≤ K)
(hc : ∀ x y (α β : ℝ),0 ≤ α → 0 ≤ β → α+β=1 → F.f x^α*F.f y^β ≤ F.f (α • x+β • y))
(hb : ∀ v x,x∈(bin v).carrier → W v/4 ≤ F.f x ∧ F.f x ≤ 4*W v)
(hp : ∀ (v w : Vertex q K) (i : Fin q),neighbors (corner v) (corner w) i →
∀ x,x∈(faceBox v w i (1/(4*d))).carrier → F.f x ≤ 4*min (W v) (W w))
(V : Finset (Vertex q K)) (hV : V.Nonempty) (hVc : Vᶜ.Nonempty) :
Real.log 2/(64*d*K)*min (∑ v∈V,W v) (∑ v∈Vᶜ,W v) ≤ border V W := by
have hnon : 0 ≤ Real.log 2/(64*d*K) := by positivity
have hm := mass_partition F V
by_cases hs : 2*(∫ x in boxUnion (boxes V),F.f x) ≤ ∫ x in (cube q K).carrier,F.f x
· exact (mul_le_mul_of_nonneg_left (min_le_left _ _) hnon).trans
(small_side_border F W hW d hd hq hK hc hb hp V hV hs)
· have hs' : 2*(∫ x in boxUnion (boxes Vᶜ),F.f x) ≤ ∫ x in (cube q K).carrier,F.f x := by linarith
have hh := small_side_border F W hW d hd hq hK hc hb hp Vᶜ hVc hs'
rw [border_compl] at hh
exact (mul_le_mul_of_nonneg_left (min_le_right _ _) hnon).trans hh
end
end Contingency.Grid
open Set MeasureTheory
open scoped BigOperators Pointwise
namespace Contingency.Grid
noncomputable section
variable {q K : ℕ}
def realCorner (v : Vertex q K) : Fin q → ℝ := fun i => v i
def exponentWeight (g : (Fin q → ℝ) → ℝ) (v : Vertex q K) : ℝ :=
(2:ℝ)^(-(⌊g (realCorner v)⌋:ℝ))
theorem exponentWeight_pos (g : (Fin q → ℝ) → ℝ) (v : Vertex q K) :
0<exponentWeight g v := Real.rpow_pos_of_pos (by norm_num) _
theorem exponentWeight_upper (g : (Fin q → ℝ) → ℝ) (v : Vertex q K) (x : Fin q → ℝ)
(hh : g (realCorner v)-g x ≤ 2) : (2:ℝ)^(-g x) ≤ 4*exponentWeight g v := by
have hf := Int.floor_le (g (realCorner v))
calc
_ ≤ (2:ℝ)^(-(⌊g (realCorner v)⌋:ℝ)+2) :=
Real.rpow_le_rpow_of_exponent_le (by norm_num) (by linarith)
_ = _ := by rw [Real.rpow_add (by norm_num : (0:ℝ)<2)]; norm_num [exponentWeight]; ring
theorem exponentWeight_lower (g : (Fin q → ℝ) → ℝ) (v : Vertex q K) (x : Fin q → ℝ)
(hh : g x-g (realCorner v) ≤ 1) : exponentWeight g v/4 ≤ (2:ℝ)^(-g x) := by
have hf := Int.lt_floor_add_one (g (realCorner v))
calc
_ = (2:ℝ)^(-(⌊g (realCorner v)⌋:ℝ)-2) := by
rw [Real.rpow_sub (by norm_num : (0:ℝ)<2)]; norm_num [exponentWeight]
_ ≤ _ := Real.rpow_le_rpow_of_exponent_le (by norm_num) (by linarith)
theorem bin_distance (v : Vertex q K) (x : Fin q → ℝ) (hx : x∈(bin v).carrier) :
‖x-realCorner v‖ ≤ 1 := by
apply (pi_norm_le_iff_of_nonneg (by norm_num : (0:ℝ) ≤ 1)).mpr
intro i
have hh := (mem_bin v x).mp hx i
dsimp [inside,corner] at hh
simp only [Pi.sub_apply,realCorner,Real.norm_eq_abs,abs_le]
constructor <;> linarith [hh.1,hh.2]
theorem face_distance (v w : Vertex q K) (i : Fin q) (r : ℝ) (hr : 0 ≤ r)
(hn : neighbors (corner v) (corner w) i) (x : Fin q → ℝ)
(hx : x∈(faceBox v w i r).carrier) : ‖x-realCorner v‖ ≤ 1+r := by
apply (pi_norm_le_iff_of_nonneg (by linarith : (0:ℝ) ≤ 1+r)).mpr
intro j
have hh := (Set.mem_pi.mp hx) j (Set.mem_univ j)
simp only [Set.mem_Ioo,faceBox] at hh
simp only [Pi.sub_apply,realCorner,Real.norm_eq_abs,abs_le]
by_cases hj : j=i
· subst j
simp only [ite_true,Nat.cast_max] at hh
have hn' := hn.1
dsimp [corner] at hn'
rcases hn' with h | h
· have he : (v i:ℝ)+1=(w i:ℝ) := by exact_mod_cast h
have hm : max (v i:ℝ) (w i:ℝ)=(w i:ℝ) := max_eq_right (by linarith)
rw [hm] at hh
constructor <;> linarith [hh.1,hh.2]
· have he : (w i:ℝ)+1=(v i:ℝ) := by exact_mod_cast h
have hm : max (v i:ℝ) (w i:ℝ)=(v i:ℝ) := max_eq_left (by linarith)
rw [hm] at hh
constructor <;> linarith [hh.1,hh.2]
· simp only [hj,ite_false] at hh
constructor <;> linarith [hh.1,hh.2]
theorem weight_bin_comparison (g : (Fin q → ℝ) → ℝ) (L : ℝ) (hL : 0 ≤ L) (hL1 : L ≤ 1)
(hg : ∀ x y,|g x-g y| ≤ L*‖x-y‖)
(v : Vertex q K) (x : Fin q → ℝ) (hx : x∈(bin v).carrier) :
exponentWeight g v/4 ≤ (2:ℝ)^(-g x) ∧ (2:ℝ)^(-g x) ≤ 4*exponentWeight g v := by
have hh : |g x-g (realCorner v)| ≤ 1 :=
(hg x (realCorner v)).trans ((mul_le_mul_of_nonneg_left (bin_distance v x hx) hL).trans (by simpa using hL1))
constructor
· exact exponentWeight_lower g v x (abs_le.mp hh).2
· apply exponentWeight_upper
linarith only [(abs_le.mp hh).1]
theorem weight_face_comparison (g : (Fin q → ℝ) → ℝ) (L r : ℝ) (hL : 0 ≤ L) (hr : 0 ≤ r)
(hLr : L*(1+r) ≤ 2) (hg : ∀ x y,|g x-g y| ≤ L*‖x-y‖)
(v w : Vertex q K) (i : Fin q) (hn : neighbors (corner v) (corner w) i)
(x : Fin q → ℝ) (hx : x∈(faceBox v w i r).carrier) :
(2:ℝ)^(-g x) ≤ 4*min (exponentWeight g v) (exponentWeight g w) := by
have hv : (2:ℝ)^(-g x) ≤ 4*exponentWeight g v := by
apply exponentWeight_upper
have hh := (hg x (realCorner v)).trans ((mul_le_mul_of_nonneg_left (face_distance v w i r hr hn x hx) hL).trans hLr)
linarith only [(abs_le.mp hh).1]
have hw : (2:ℝ)^(-g x) ≤ 4*exponentWeight g w := by
apply exponentWeight_upper
have hx' : x∈(faceBox w v i r).carrier := by rw [← faceBox_swap v w i r hn]; exact hx
have hh := (hg x (realCorner w)).trans ((mul_le_mul_of_nonneg_left (face_distance w v i r hr (neighbors_symm _ _ _ hn) x hx') hL).trans hLr)
linarith only [(abs_le.mp hh).1]
rw [mul_min_of_nonneg _ _ (by norm_num : (0:ℝ) ≤ 4)]
exact le_min hv hw
end
end Contingency.Grid
open Set MeasureTheory
open scoped BigOperators Pointwise
namespace Contingency.Dense
noncomputable section
variable {a c q K : ℕ}
open Contingency.Grid Contingency.Interpolation
def binExponent (e : Fin q ≃ Fin a×Fin c) (R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ)
(w : Fin a → Fin c → ℝ) (d : ℝ) (x : Fin q → ℝ) : ℝ :=
d^4*penalty R P w (d^8) d (fun s => x (e.symm s))
def binWeight (e : Fin q ≃ Fin a×Fin c) (R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ)
(w : Fin a → Fin c → ℝ) (d : ℝ) : Vertex q K → ℝ := exponentWeight (binExponent e R P w d)
theorem exponent_lipschitz (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (hd : 1 ≤ d) (he : (a*c:ℕ) ≤ d)
(hR : ∀ i,0<R i) (hP : ∀ j,0<P j)
(hRmax : ∀ i,R i ≤ R (Fin.last a)) (hPmax : ∀ j,P j ≤ P (Fin.last c))
(hw0 : ∀ i j,0 ≤ w i j) (hw : ∀ i j,w i j ≤ scale R P i.castSucc j.castSucc/d^8)
(x y : Fin q → ℝ) : |binExponent e R P w d x-binExponent e R P w d y| ≤ ‖x-y‖ := by
have hd0 : 0<d := by linarith
let u : Fin a×Fin c → ℝ := fun s => x (e.symm s)
let v : Fin a×Fin c → ℝ := fun s => y (e.symm s)
have hn : ‖u-v‖ ≤ ‖x-y‖ := by
apply (pi_norm_le_iff_of_nonneg (norm_nonneg _)).mpr
intro s
exact norm_le_pi_norm (x-y) (e.symm s)
have hh := penalty_difference R P w (d^8) d (d/d^8*‖u-v‖) (by positivity) u v
(fun i j => normalized_lipschitz R P w (d^8) d (by positivity) he hR hP hRmax hPmax hw0 hw u v i j)
have hcoef : d^4*(d/d^8) ≤ 1 := by
have hid : d^4*(d/d^8)=1/d^3 := by field_simp
rw [hid]
exact (div_le_one (by positivity)).mpr (one_le_pow₀ hd)
unfold binExponent
rw [← mul_sub,abs_mul,abs_of_nonneg (by positivity : 0 ≤ d^4)]
calc
_ ≤ d^4*(d/d^8*‖u-v‖) := mul_le_mul_of_nonneg_left hh (by positivity)
_ ≤ ‖u-v‖ := by nlinarith only [mul_le_mul_of_nonneg_right hcoef (norm_nonneg (u-v))]
_ ≤ _ := hn
theorem bin_density_eq (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (x : Fin q → ℝ) :
(densityWeight e R P w (d^8) d (d^4) (by positivity)).f x=(2:ℝ)^(-binExponent e R P w d x) := by
simp only [densityWeight,density,binExponent,neg_mul]
theorem bin_border_bound (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (hd : 1 ≤ d) (he : (a*c:ℕ) ≤ d) (hq : (q:ℝ) ≤ d) (hK : 1 ≤ K)
(hR : ∀ i,0<R i) (hP : ∀ j,0<P j)
(hRmax : ∀ i,R i ≤ R (Fin.last a)) (hPmax : ∀ j,P j ≤ P (Fin.last c))
(hw0 : ∀ i j,0 ≤ w i j) (hw : ∀ i j,w i j ≤ scale R P i.castSucc j.castSucc/d^8)
(V : Finset (Vertex q K)) (hV : V.Nonempty) (hVc : Vᶜ.Nonempty) :
Real.log 2/(64*d*K)*min (∑ v∈V,binWeight e R P w d v) (∑ v∈Vᶜ,binWeight e R P w d v) ≤
border V (binWeight e R P w d) := by
let F := densityWeight e R P w (d^8) d (d^4) (by positivity)
have hlip (x y : Fin q → ℝ) : |binExponent e R P w d x-binExponent e R P w d y| ≤ 1*‖x-y‖ := by
simpa only [one_mul] using exponent_lipschitz e R P w d hd he hR hP hRmax hPmax hw0 hw x y
apply border_bound F _ (fun v => (exponentWeight_pos _ v).le) d hd hq hK
· intro x y α β ha hb hab
exact densityWeight_logconcave e R P w (d^8) d (d^4) (by positivity) x y α β ha hb hab
· intro v x hx
rw [show F.f x=(2:ℝ)^(-binExponent e R P w d x) from bin_density_eq _ _ _ _ _ _]
exact weight_bin_comparison _ 1 (by norm_num) le_rfl hlip v x hx
· intro v w' i hn x hx
rw [show F.f x=(2:ℝ)^(-binExponent e R P w d x) from bin_density_eq _ _ _ _ _ _]
apply weight_face_comparison _ 1 (1/(4*d)) (by norm_num) (by
have hd0 : 0<d := by linarith
positivity) _ hlip v w' i hn x hx
have hd0 : 0<d := by linarith
have hfrac : 1/(4*d) ≤ 1 := (div_le_one (by positivity)).mpr (by linarith)
linarith
· exact hV
· exact hVc
theorem bin_conductance_numerator (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (hd : 1 ≤ d) (he : (a*c:ℕ) ≤ d) (hq : (q:ℝ) ≤ d) (hK : 1 ≤ K)
(hR : ∀ i,0<R i) (hP : ∀ j,0<P j)
(hRmax : ∀ i,R i ≤ R (Fin.last a)) (hPmax : ∀ j,P j ≤ P (Fin.last c))
(hw0 : ∀ i j,0 ≤ w i j) (hw : ∀ i j,w i j ≤ scale R P i.castSucc j.castSucc/d^8)
(p : ℝ) (hp : 1/(16*d) ≤ p)
(V : Finset (Vertex q K)) (hV : V.Nonempty) (hVc : Vᶜ.Nonempty) :
1/(100000*d^2*K)*min (∑ v∈V,binWeight e R P w d v) (∑ v∈Vᶜ,binWeight e R P w d v) ≤
p*border V (binWeight e R P w d) := by
have hd0 : 0<d := by linarith
have hK0 : (0:ℝ)<K := by exact_mod_cast (by omega : 0<K)
have hb := bin_border_bound e R P w d hd he hq hK hR hP hRmax hPmax hw0 hw V hV hVc
have hn : 0 ≤ border V (binWeight e R P w d) := by
unfold border
exact Finset.sum_nonneg fun v _ => le_min (exponentWeight_pos _ _).le (exponentWeight_pos _ _).le
have hc : 1/(100000*d^2*K) ≤ (1/(16*d))*(Real.log 2/(64*d*K)) := by
apply (div_le_iff₀ (by positivity : 0 < 100000*d^2*K)).mpr
have hh : (1/(16*d))*(Real.log 2/(64*d*K))*(100000*d^2*K)=3125/32*Real.log 2 := by field_simp; norm_num
rw [hh]
linarith only [Real.log_two_gt_d9]
have hmin : 0 ≤ min (∑ v∈V,binWeight e R P w d v) (∑ v∈Vᶜ,binWeight e R P w d v) :=
le_min (Finset.sum_nonneg fun v _ => (exponentWeight_pos _ v).le) (Finset.sum_nonneg fun v _ => (exponentWeight_pos _ v).le)
calc
_ ≤ (1/(16*d))*(Real.log 2/(64*d*K))*min (∑ v∈V,binWeight e R P w d v) (∑ v∈Vᶜ,binWeight e R P w d v) := mul_le_mul_of_nonneg_right hc hmin
_ ≤ (1/(16*d))*border V (binWeight e R P w d) := by rw [mul_assoc]; exact mul_le_mul_of_nonneg_left hb (by positivity)
_ ≤ _ := mul_le_mul_of_nonneg_right hp hn
end
end Contingency.Dense
open Set MeasureTheory
open scoped BigOperators
namespace Contingency.Dense
noncomputable section
variable {a c q K : ℕ}
open Contingency.Grid Contingency.Interpolation
theorem region_volume_pos (f : (Fin (a+1)×Fin (c+1)) → (Fin q → ℝ) → ℝ)
(hf : ∀ i,Continuous (f i)) (u : Fin q → ℝ) (hu : ∀ i,0<f i u) :
0 < volume (region f 0) := by
let S := {x | ∀ i,0<f i x}
have ho : IsOpen S := by
have he : S=⋂ i,{x | 0<f i x} := by ext x; simp [S]
rw [he]
exact isOpen_iInter_of_finite fun i => isOpen_lt continuous_const (hf i)
exact (ho.measure_pos volume ⟨u,hu⟩).trans_le (measure_mono (fun x hx i => (hx i).le))
theorem dense_density_volume (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (hd : 4 ≤ d) (hq : (q:ℝ) ≤ d) (u : Fin q → ℝ)
(hu : ∀ i,1/(2*d) ≤ constraints e R P w i u) (S : Set (Fin q → ℝ)) :
(∫⁻ x in S,ENNReal.ofReal ((densityWeight e R P w (d^8) d (d^4) (by positivity)).f x)) ≤
4*volume (region (constraints e R P w) 0) := by
let p (x : Fin q → ℝ) := penalty R P w (d^8) d (fun s => x (e.symm s))
have hd0 : 0<d := by linarith
apply density_layer_bound p ((penalty_continuous R P w (d^8) d).comp
(continuous_pi fun _ => continuous_apply _)).measurable
(fun x => penalty_nonneg _ _ _ _ _ _) (d^4) (by positivity) S
intro j
have hsub : {x | p x < ((j:ℝ)+1)/d^4} ∩ S ⊆
region (constraints e R P w) (-(d/d^8+((j:ℝ)+1)/d^4)) := by
intro x hx i
have hh := le_penalty R P w (d^8) d (fun s => x (e.symm s)) i.1 i.2
have hj := hx.1
change p x < _ at hj
change -constraints e R P w i x-d/d^8 ≤ p x at hh
linarith only [hh,hj]
calc
_ ≤ volume (region (constraints e R P w) (-(d/d^8+((j:ℝ)+1)/d^4))) := measure_mono hsub
_ ≤ ENNReal.ofReal (Real.exp (2*d^2*(d/d^8+((j:ℝ)+1)/d^4)))*volume (region (constraints e R P w) 0) :=
relaxed_volume_dense _ (constraints_affine e R P w) d hd0 hq u hu _ (by positivity)
_ ≤ ENNReal.ofReal ((4/3:ℝ)^(j+1))*volume (region (constraints e R P w) 0) := by
gcongr
exact dense_exponent_layer d hd j
_ = _ := by
rw [ENNReal.ofReal_pow (by norm_num),ENNReal.ofReal_div_of_pos (by norm_num : (0:ℝ)<3)]
norm_num
theorem dense_bin_normalizer_bound (e : Fin q ≃ Fin a×Fin c)
(R : Fin (a+1) → ℝ) (P : Fin (c+1) → ℝ) (w : Fin a → Fin c → ℝ)
(d : ℝ) (hd : 4 ≤ d) (he : (a*c:ℕ) ≤ d) (hq : (q:ℝ) ≤ d)
(hR : ∀ i,0<R i) (hP : ∀ j,0<P j)
(hRmax : ∀ i,R i ≤ R (Fin.last a)) (hPmax : ∀ j,P j ≤ P (Fin.last c))
(hw0 : ∀ i j,0 ≤ w i j) (hw : ∀ i j,w i j ≤ scale R P i.castSucc j.castSucc/d^8)
(u : Fin q → ℝ) (hu : ∀ i,1/(2*d) ≤ constraints e R P w i u) :
ENNReal.ofReal (∑ v : Vertex q K,binWeight e R P w d v) ≤
16*volume (region (constraints e R P w) 0) := by
let F := densityWeight e R P w (d^8) d (d^4) (by positivity)
let S := boxUnion (boxes (Finset.univ : Finset (Vertex q K)))
have hlip (x y : Fin q → ℝ) : |binExponent e R P w d x-binExponent e R P w d y| ≤ 1*‖x-y‖ := by
simpa only [one_mul] using exponent_lipschitz e R P w d (by linarith) he hR hP hRmax hPmax hw0 hw x y
have hb : ∀ (v : Vertex q K) x,x∈(bin v).carrier → binWeight e R P w d v/4 ≤ F.f x ∧ F.f x ≤ 4*binWeight e R P w d v := by
intro v x hx
rw [show F.f x=(2:ℝ)^(-binExponent e R P w d x) from bin_density_eq _ _ _ _ _ _]
exact weight_bin_comparison _ 1 (by norm_num) le_rfl hlip v x hx
have hint := (boxes_integral_bounds F (binWeight e R P w d) hb Finset.univ).1
have hsum : (∑ v : Vertex q K,binWeight e R P w d v) ≤ 4*(∫ x in S,F.f x) := by
dsimp [S]
simpa only [mul_comm] using (div_le_iff₀ (by norm_num : (0:ℝ)<4)).mp hint
calc
_ ≤ ENNReal.ofReal (4*(∫ x in S,F.f x)) := ENNReal.ofReal_le_ofReal hsum
_ = 4*(∫⁻ x in S,ENNReal.ofReal (F.f x)) := by
rw [ENNReal.ofReal_mul (by norm_num),ofReal_integral_eq_lintegral_ofReal (F.integrable _) (Filter.Eventually.of_forall fun x => (F.positive x).le)]
norm_num [S]
_ ≤ 4*(4*volume (region (constraints e R P w) 0)) := by
gcongr
exact dense_density_volume e R P w d hd hq u hu S
_ = _ := by rw [← mul_assoc]; norm_num
end
end Contingency.Dense
end
end OAI
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