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Add lean source and binary files (part 66)
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import Mathlib
namespace OAI
section
section
section
section
noncomputable section
open scoped InnerProductSpace
open Set
namespace CannonDuality
variable {ι : Type*} [Fintype ι]
abbrev Weights (ι : Type*) [Fintype ι] := EuclideanSpace ℝ ι
def Nonnegative (w : Weights ι) : Prop := ∀ i, 0 ≤ w i
def Admissible (V : Set (Weights ι)) (w : Weights ι) : Prop :=
Nonnegative w ∧ ∀ v ∈ V, 1 ≤ ⟪w, v⟫_ℝ
def Modulus (V : Set (Weights ι)) : ℝ :=
sInf {e : ℝ | ∃ w : Weights ι, Admissible V w ∧ e = ‖w‖ ^ 2}
lemma inner_bound_convexHull {V : Set (Weights ι)} {w : Weights ι} {c : ℝ}
(h : ∀ v ∈ V, c ≤ ⟪w, v⟫_ℝ) :
∀ v ∈ convexHull ℝ V, c ≤ ⟪w, v⟫_ℝ := by
apply convexHull_min h
intro x hx y hy a b ha hb hab
change c ≤ ⟪w, a • x + b • y⟫_ℝ
rw [inner_add_right, inner_smul_right, inner_smul_right]
change c ≤ ⟪w, x⟫_ℝ at hx
change c ≤ ⟪w, y⟫_ℝ at hy
calc
c = a * c + b * c := by rw [← add_mul, hab, one_mul]
_ ≤ a * ⟪w, x⟫_ℝ + b * ⟪w, y⟫_ℝ :=
add_le_add (mul_le_mul_of_nonneg_left hx ha) (mul_le_mul_of_nonneg_left hy hb)
lemma nonnegative_convexHull {V : Set (Weights ι)}
(h : ∀ v ∈ V, Nonnegative v) :
∀ v ∈ convexHull ℝ V, Nonnegative v := by
apply convexHull_min h
intro x hx y hy a b ha hb hab i
change 0 ≤ a * x i + b * y i
exact add_nonneg (mul_nonneg ha (hx i)) (mul_nonneg hb (hy i))
theorem exists_dual_minimizer (V : Finset (Weights ι)) (hne : V.Nonempty)
(hnonneg : ∀ v ∈ V, Nonnegative v)
(hpositive : ∀ v ∈ V, 1 ≤ ∑ i, v i) :
∃ P ∈ convexHull ℝ (V : Set (Weights ι)),
Nonnegative P ∧ P ≠ 0 ∧ ∀ v ∈ V, ‖P‖ ^ 2 ≤ ⟪P, v⟫_ℝ := by
have hK : (convexHull ℝ (V : Set (Weights ι))).Nonempty :=
hne.to_set.mono (subset_convexHull ℝ _)
obtain ⟨P, hP, hmin⟩ := exists_norm_eq_iInf_of_complete_convex hK
((V.finite_toSet.isCompact_convexHull ℝ).isComplete)
(convex_convexHull ℝ _) (0 : Weights ι)
refine ⟨P, hP, nonnegative_convexHull hnonneg P hP, ?_, ?_⟩
· let one : Weights ι := (WithLp.toLp 2 fun _ => (1 : ℝ))
have hsum : ∀ v ∈ (V : Set (Weights ι)), 1 ≤ ⟪one, v⟫_ℝ := by
intro v hv
simpa [one, EuclideanSpace.inner_eq_star_dotProduct, dotProduct] using hpositive v hv
have hb := inner_bound_convexHull hsum P hP
intro hz
norm_num [hz] at hb
· have hproj := (norm_eq_iInf_iff_real_inner_le_zero (convex_convexHull ℝ _)
hP).mp hmin
intro v hv
have hi := hproj v (subset_convexHull ℝ _ hv)
simp only [zero_sub, inner_neg_left, inner_sub_right, real_inner_self_eq_norm_sq] at hi
linarith
lemma normalized_admissible {V : Set (Weights ι)} {P : Weights ι}
(hP : Nonnegative P) (hPne : P ≠ 0)
(hdual : ∀ v ∈ V, ‖P‖ ^ 2 ≤ ⟪P, v⟫_ℝ) :
Admissible V ((‖P‖ ^ 2)⁻¹ • P) := by
have hp : 0 < ‖P‖ ^ 2 := sq_pos_of_pos (norm_pos_iff.mpr hPne)
constructor
· intro i
change 0 ≤ (‖P‖ ^ 2)⁻¹ * P i
exact mul_nonneg (inv_nonneg.mpr hp.le) (hP i)
· intro v hv
rw [real_inner_smul_left]
calc
1 = (‖P‖ ^ 2)⁻¹ * ‖P‖ ^ 2 := (inv_mul_cancel₀ hp.ne').symm
_ ≤ (‖P‖ ^ 2)⁻¹ * ⟪P, v⟫_ℝ :=
mul_le_mul_of_nonneg_left (hdual v hv) (inv_nonneg.mpr hp.le)
lemma normalized_energy {P : Weights ι} (hPne : P ≠ 0) :
‖(‖P‖ ^ 2)⁻¹ • P‖ ^ 2 = (‖P‖ ^ 2)⁻¹ := by
have hp : ‖P‖ ≠ 0 := norm_ne_zero_iff.mpr hPne
rw [norm_smul, Real.norm_eq_abs, mul_pow, sq_abs]
field_simp
lemma admissible_energy_lower {V : Set (Weights ι)} {P : Weights ι}
(hP : P ∈ convexHull ℝ V) (hPne : P ≠ 0)
{w : Weights ι} (hw : Admissible V w) :
(‖P‖ ^ 2)⁻¹ ≤ ‖w‖ ^ 2 := by
have hpair : 1 ≤ ⟪w, P⟫_ℝ := inner_bound_convexHull hw.2 P hP
have hcs := real_inner_mul_inner_self_le w P
rw [real_inner_self_eq_norm_sq, real_inner_self_eq_norm_sq] at hcs
have hprod : 1 ≤ ‖w‖ ^ 2 * ‖P‖ ^ 2 := by nlinarith
have hp : 0 < ‖P‖ ^ 2 := sq_pos_of_pos (norm_pos_iff.mpr hPne)
simpa only [one_div] using (div_le_iff₀ hp).mpr hprod
theorem modulus_eq_inverse_dual_energy (V : Finset (Weights ι)) (hne : V.Nonempty)
(hnonneg : ∀ v ∈ V, Nonnegative v)
(hpositive : ∀ v ∈ V, 1 ≤ ∑ i, v i) :
∃ P ∈ convexHull ℝ (V : Set (Weights ι)),
Nonnegative P ∧ P ≠ 0 ∧
Modulus (V : Set (Weights ι)) = (‖P‖ ^ 2)⁻¹ ∧
Admissible (V : Set (Weights ι)) ((‖P‖ ^ 2)⁻¹ • P) := by
obtain ⟨P, hP, hnon, hneP, hdual⟩ := exists_dual_minimizer V hne hnonneg hpositive
have hadm := normalized_admissible hnon hneP hdual
have henergy := normalized_energy hneP
refine ⟨P, hP, hnon, hneP, ?_, hadm⟩
apply le_antisymm
· apply csInf_le
· use 0
rintro _ ⟨w, _, rfl⟩
exact sq_nonneg ‖w‖
· exact ⟨_, hadm, henergy.symm⟩
· apply le_csInf
· exact ⟨_, _, hadm, rfl⟩
· rintro e ⟨w, hw, rfl⟩
exact admissible_energy_lower hP hneP hw
theorem crossing_dual_weights (V : Finset (Weights ι)) (W : Set (Weights ι))
(hne : V.Nonempty) (hnonneg : ∀ v ∈ V, Nonnegative v)
(hpositive : ∀ v ∈ V, 1 ≤ ∑ i, v i)
(hcross : ∀ w ∈ W, ∀ v ∈ V, 1 ≤ ⟪w, v⟫_ℝ) :
∃ P : Weights ι, Admissible W P ∧
‖P‖ ^ 2 = (Modulus (V : Set (Weights ι)))⁻¹ := by
obtain ⟨P, hP, hnon, hneP, hmod, _⟩ :=
modulus_eq_inverse_dual_energy V hne hnonneg hpositive
refine ⟨P, ⟨hnon, ?_⟩, ?_⟩
· intro w hw
rw [real_inner_comm]
exact inner_bound_convexHull (hcross w hw) P hP
· rw [hmod, inv_inv]
end CannonDuality
namespace CannonCells
open Set CannonDuality
open scoped InnerProductSpace
variable {X ι : Type*} [Fintype ι]
noncomputable def indices (C : ι → Set X) (A : Set X) : Finset ι := by
classical
exact Finset.univ.filter (fun i => (A ∩ C i).Nonempty)
noncomputable def weight (s : Finset ι) : Weights ι := by
classical
exact WithLp.toLp 2 (fun i => if i ∈ s then (1:ℝ) else 0)
noncomputable def incidence (C : ι → Set X) (A : Set X) : Weights ι :=
weight (indices C A)
noncomputable def familyVectors (C : ι → Set X) (F : Set (Set X)) : Finset (Weights ι) :=
((Set.toFinite (indices C '' F)).toFinset).image weight
lemma mem_indices (C : ι → Set X) (A : Set X) (i : ι) :
i ∈ indices C A ↔ (A ∩ C i).Nonempty := by
classical
simp [indices]
lemma mem_familyVectors (C : ι → Set X) (F : Set (Set X)) (v : Weights ι) :
v ∈ familyVectors C F ↔ ∃ A ∈ F, incidence C A = v := by
classical
simp only [familyVectors,Finset.mem_image,Set.Finite.mem_toFinset,Set.mem_image,incidence]
constructor
· rintro ⟨s,⟨A,hA,rfl⟩,hv⟩
exact ⟨A,hA,hv⟩
· rintro ⟨A,hA,hv⟩
exact ⟨indices C A,⟨A,hA,rfl⟩,hv⟩
lemma incidence_nonnegative (C : ι → Set X) (A : Set X) : Nonnegative (incidence C A) := by
classical
intro i
change 0 ≤ if i ∈ indices C A then (1:ℝ) else 0
split <;> norm_num
lemma incidence_at (C : ι → Set X) (A : Set X) {i : ι} (hi : (A ∩ C i).Nonempty) :
incidence C A i = 1 := by
classical
change (if i ∈ indices C A then (1:ℝ) else 0) = 1
rw [ite_eq_left ((mem_indices C A i).mpr hi)]
lemma incidence_positive (C : ι → Set X) (hC : ∀ x, ∃ i, x ∈ C i)
{A : Set X} (hA : A.Nonempty) : 1 ≤ ∑ i, incidence C A i := by
classical
obtain ⟨x,hx⟩ := hA
obtain ⟨i,hi⟩ := hC x
have h := Finset.single_le_sum (fun j (_ : j ∈ (Finset.univ : Finset ι)) => incidence_nonnegative C A j)
(Finset.mem_univ i)
rwa [incidence_at C A ⟨x,hx,hi⟩] at h
lemma incidence_cross (C : ι → Set X) (hC : ∀ x, ∃ i, x ∈ C i)
{A B : Set X} (hAB : (A ∩ B).Nonempty) :
1 ≤ ⟪incidence C A,incidence C B⟫_ℝ := by
classical
obtain ⟨x,hxA,hxB⟩ := hAB
obtain ⟨i,hi⟩ := hC x
rw [EuclideanSpace.inner_eq_star_dotProduct]
simp only [star_trivial,dotProduct]
have hh := Finset.single_le_sum (fun j (_ : j ∈ (Finset.univ : Finset ι)) =>
mul_nonneg (incidence_nonnegative C B j) (incidence_nonnegative C A j)) (Finset.mem_univ i)
rw [incidence_at C A ⟨x,hxA,hi⟩,incidence_at C B ⟨x,hxB,hi⟩,one_mul] at hh
exact hh
noncomputable def modulus (C : ι → Set X) (F : Set (Set X)) : ℝ :=
Modulus (familyVectors C F : Set (Weights ι))
lemma admissible_iff (C : ι → Set X) (F : Set (Set X)) (w : Weights ι) :
Admissible (familyVectors C F : Set (Weights ι)) w ↔
Nonnegative w ∧ ∀ A ∈ F, 1 ≤ ∑ i ∈ indices C A, w i := by
classical
have hinner (A : Set X) : ⟪w,incidence C A⟫_ℝ = ∑ i ∈ indices C A, w i := by
rw [EuclideanSpace.inner_eq_star_dotProduct]
simp [incidence,weight,dotProduct]
constructor
· rintro ⟨hn,hw⟩
refine ⟨hn,fun A hA => ?_⟩
rw [← hinner]
exact hw _ ((mem_familyVectors C F _).mpr ⟨A,hA,rfl⟩)
· rintro ⟨hn,hw⟩
refine ⟨hn,?_⟩
intro v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
rw [hinner]
exact hw A hA
lemma familyVectors_nonempty (C : ι → Set X) {F : Set (Set X)} (hF : F.Nonempty) :
(familyVectors C F).Nonempty := by
obtain ⟨A,hA⟩ := hF
exact ⟨incidence C A,(mem_familyVectors C F _).mpr ⟨A,hA,rfl⟩⟩
theorem modulus_minimum (C : ι → Set X) (hC : ∀ x, ∃ i, x ∈ C i)
{F : Set (Set X)} (hF : F.Nonempty) (hFn : ∀ A ∈ F, A.Nonempty) :
0 < modulus C F ∧ ∃ w : Weights ι,
Admissible (familyVectors C F : Set (Weights ι)) w ∧ ‖w‖^2 = modulus C F := by
have hn : ∀ v ∈ familyVectors C F, Nonnegative v := by
intro v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
exact incidence_nonnegative C A
have hp : ∀ v ∈ familyVectors C F, 1 ≤ ∑ i, v i := by
intro v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
exact incidence_positive C hC (hFn A hA)
obtain ⟨P,_,_,hP,hmod,hadm⟩ := modulus_eq_inverse_dual_energy
(familyVectors C F) (familyVectors_nonempty C hF) hn hp
have hpositive : 0 < ‖P‖^2 := sq_pos_of_pos (norm_pos_iff.mpr hP)
refine ⟨?_,(‖P‖^2)⁻¹ • P,hadm,?_⟩
· change 0 < Modulus _
rw [hmod]
exact inv_pos.mpr hpositive
· exact (normalized_energy hP).trans hmod.symm
theorem transverse_weights (C : ι → Set X) (hC : ∀ x, ∃ i, x ∈ C i)
{F H : Set (Set X)} (hF : F.Nonempty) (hFn : ∀ A ∈ F, A.Nonempty)
(hcross : ∀ A ∈ F, ∀ B ∈ H, (A ∩ B).Nonempty) :
∃ ρ : Weights ι, Admissible (familyVectors C H : Set (Weights ι)) ρ ∧
‖ρ‖^2 = (modulus C F)⁻¹ := by
apply crossing_dual_weights (familyVectors C F) (familyVectors C H : Set (Weights ι))
(familyVectors_nonempty C hF)
· intro v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
exact incidence_nonnegative C A
· intro v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
exact incidence_positive C hC (hFn A hA)
· intro w hw v hv
obtain ⟨A,hA,rfl⟩ := (mem_familyVectors C F v).mp hv
obtain ⟨B,hB,rfl⟩ := (mem_familyVectors C H w).mp hw
exact incidence_cross C hC (by simpa only [Set.inter_comm] using hcross A hA B hB)
end CannonCells
end
end
end
end
end
end OAI