openAI-math-dataset / lean /OAI /Combinatorics /BalancedRyser /Probability /ConditionalOrderVariance.lean
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Add lean source and binary files (part 40)
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import OAI.Combinatorics.BalancedRyser.Probability.PermutationSubsetLaw
import OAI.Combinatorics.BalancedRyser.Probability.UncoveredSubsetVariance
namespace OAI
open scoped BigOperators
namespace Balanced.ConditionalOrderVariance
open WithoutReplacement PermutationSubsetLaw UncoveredSampling
theorem variance_two_images_conditioned_target
{α β : Type*} [Fintype α] [DecidableEq α] [Fintype β] [DecidableEq β]
(I : Finset α) (J : Finset β) (i x : α) (hi : i ∉ I)
(g : Finset α → Finset β → ℝ) :
finiteVariance
((Finset.univ.filter (fun σ : Equiv.Perm α => σ i = x)) ×ˢ
(Finset.univ : Finset (Equiv.Perm β)))
(fun p => g (I.map p.1.toEmbedding) (J.map p.2.toEmbedding)) =
finiteVariance ((Finset.univ.erase x).powersetCard I.card ×ˢ
(Finset.univ : Finset β).powersetCard J.card) (fun p => g p.1 p.2) := by
unfold finiteVariance
simp_rw [Finset.expect_product]
rw [expect_two_images_conditioned_target I J i x hi g]
exact expect_two_images_conditioned_target I J i x hi
(fun S T => (g S T - (𝔼 A ∈ (Finset.univ.erase x).powersetCard I.card,
𝔼 B ∈ (Finset.univ : Finset β).powersetCard J.card, g A B))^2)
theorem conditioned_order_variance_le
{α β : Type*} [Fintype α] [DecidableEq α] [Fintype β] [DecidableEq β]
(I : Finset α) (J : Finset β) (i x : α) (hi : i ∉ I)
(g : Finset α → Finset β → ℝ) {c d : ℝ} (hc : 0 ≤ c) (hd : 0 ≤ d)
(hfirst : ∀ S : Finset α, S ⊆ Finset.univ.erase x → S.card = I.card →
∀ T : Finset β, T ⊆ Finset.univ → T.card = J.card →
∀ a ∈ S, ∀ b ∈ Finset.univ.erase x, b ∉ S →
|g S T - g (insert b (S.erase a)) T| ≤ c)
(hsecond : ∀ S : Finset α, S ⊆ Finset.univ.erase x → S.card = I.card →
∀ T : Finset β, T ⊆ Finset.univ → T.card = J.card →
∀ a ∈ T, ∀ b ∈ Finset.univ, b ∉ T →
|g S T - g S (insert b (T.erase a))| ≤ d) :
finiteVariance
((Finset.univ.filter (fun σ : Equiv.Perm α => σ i = x)) ×ˢ
(Finset.univ : Finset (Equiv.Perm β)))
(fun p => g (I.map p.1.toEmbedding) (J.map p.2.toEmbedding)) ≤
(I.card : ℝ) * c^2 + (J.card : ℝ) * d^2 := by
rw [variance_two_images_conditioned_target I J i x hi]
have hI : I ⊆ Finset.univ.erase i := by
intro a ha
exact Finset.mem_erase.mpr ⟨ne_of_mem_of_not_mem ha hi, Finset.mem_univ _⟩
have hm : I.card ≤ (Finset.univ.erase x).card := by
simpa using Finset.card_le_card hI
exact finiteVariance_powersetCard_product_le _ _ _ _ g hc hd hm
(Finset.card_le_card (Finset.subset_univ J)) hfirst hsecond
section Affine
variable {F : Type*} [Field F] [Fintype F] [DecidableEq F]
def populationLines (U : Finset (Line F)) (S : Finset U) : Finset (Line F) :=
S.map ⟨Subtype.val, Subtype.val_injective⟩
omit [Field F] [Fintype F] in
@[simp] theorem populationLines_insert (U : Finset (Line F)) (S : Finset U) (a : U) :
populationLines U (insert a S) = insert a.val (populationLines U S) := by
simp [populationLines]
omit [Field F] [Fintype F] in
@[simp] theorem populationLines_erase (U : Finset (Line F)) (S : Finset U) (a : U) :
populationLines U (S.erase a) = (populationLines U S).erase a.val := by
simp [populationLines, Finset.map_erase]
omit [Field F] [Fintype F] [DecidableEq F] in
theorem mem_populationLines (U : Finset (Line F)) (S : Finset U) {a : U}
(ha : a ∈ S) : a.val ∈ populationLines U S :=
Finset.mem_map.mpr ⟨a, ha, rfl⟩
theorem plane_conditioned_order_variance_le
(U V : Finset (Line F)) (I : Finset U) (J : Finset V)
(i x : U) (hi : i ∉ I) :
finiteVariance
((Finset.univ.filter (fun σ : Equiv.Perm U => σ i = x)) ×ˢ
(Finset.univ : Finset (Equiv.Perm V)))
(fun p => planeFraction
(populationLines U (I.map p.1.toEmbedding))
(populationLines V (J.map p.2.toEmbedding))) ≤
4 * ((I.card : ℝ) + J.card) / (Fintype.card F : ℝ)^2 := by
have hc : 0 ≤ 2 / (Fintype.card F : ℝ) := by positivity
have h := conditioned_order_variance_le I J i x hi
(fun S T => planeFraction (populationLines U S) (populationLines V T)) hc hc
(by
intro S _ _ T _ _ a ha b _ _
simpa using planeFraction_exchange_left (populationLines U S)
(populationLines V T) (mem_populationLines U S ha) b.val)
(by
intro S _ _ T _ _ a ha b _ _
simpa using planeFraction_exchange_right (populationLines U S)
(populationLines V T) (mem_populationLines V T ha) b.val)
exact h.trans_eq (by ring)
theorem target_conditioned_order_variance_le
(U V : Finset (Line F)) (hUV : Disjoint U V)
(I : Finset U) (J : Finset V) (i x : U) (hi : i ∉ I) :
finiteVariance
((Finset.univ.filter (fun σ : Equiv.Perm U => σ i = x)) ×ˢ
(Finset.univ : Finset (Equiv.Perm V)))
(fun p => targetFraction x.val
(populationLines U (I.map p.1.toEmbedding))
(populationLines V (J.map p.2.toEmbedding))) ≤
4 * ((I.card : ℝ) + J.card) / (Fintype.card F : ℝ)^2 := by
have hc : 0 ≤ 2 / (Fintype.card F : ℝ) := by positivity
have hxV (a : V) : x.val ≠ a.val := by
intro h
exact Finset.disjoint_left.mp hUV x.property (h ▸ a.property)
have h := conditioned_order_variance_le I J i x hi
(fun S T => targetFraction x.val (populationLines U S) (populationLines V T)) hc hc
(by
intro S hS _ T _ _ a ha b hb _
have hxa : x.val ≠ a.val := by
intro h
exact (Finset.mem_erase.mp (hS ha)).1 (Subtype.ext h.symm)
have hxb : x.val ≠ b.val := by
intro h
exact (Finset.mem_erase.mp hb).1 (Subtype.ext h.symm)
simpa using targetFraction_exchange_left x.val (populationLines U S)
(populationLines V T) (mem_populationLines U S ha) b.val hxa hxb)
(by
intro S _ _ T _ _ a ha b _ _
simpa using targetFraction_exchange_right x.val (populationLines U S)
(populationLines V T) (mem_populationLines V T ha) b.val (hxV a) (hxV b))
exact h.trans_eq (by ring)
abbrev OrderPair (U V : Finset (Line F)) := Equiv.Perm U × Equiv.Perm V
noncomputable def conditionedOrderLaw (U V : Finset (Line F)) (i x : U) :
PMF (OrderPair U V) :=
PMF.uniformOfFinset
((Finset.univ.filter (fun σ : Equiv.Perm U => σ i = x)) ×ˢ
(Finset.univ : Finset (Equiv.Perm V)))
⟨(Equiv.swap i x, Equiv.refl V), by simp⟩
theorem plane_conditioned_order_measure_variance_le
(U V : Finset (Line F))
[MeasurableSpace (OrderPair U V)] [MeasurableSingletonClass (OrderPair U V)]
(I : Finset U) (J : Finset V) (i x : U) (hi : i ∉ I) :
ProbabilityTheory.variance
(fun p : OrderPair U V => planeFraction
(populationLines U (I.map p.1.toEmbedding))
(populationLines V (J.map p.2.toEmbedding)))
(conditionedOrderLaw U V i x).toMeasure ≤
4 * ((I.card : ℝ) + J.card) / (Fintype.card F : ℝ)^2 := by
erw [conditionedOrderLaw, variance_uniformOfFinset]
exact plane_conditioned_order_variance_le U V I J i x hi
theorem target_conditioned_order_measure_variance_le
(U V : Finset (Line F))
[MeasurableSpace (OrderPair U V)] [MeasurableSingletonClass (OrderPair U V)]
(hUV : Disjoint U V) (I : Finset U) (J : Finset V) (i x : U) (hi : i ∉ I) :
ProbabilityTheory.variance
(fun p : OrderPair U V => targetFraction x.val
(populationLines U (I.map p.1.toEmbedding))
(populationLines V (J.map p.2.toEmbedding)))
(conditionedOrderLaw U V i x).toMeasure ≤
4 * ((I.card : ℝ) + J.card) / (Fintype.card F : ℝ)^2 := by
erw [conditionedOrderLaw, variance_uniformOfFinset]
exact target_conditioned_order_variance_le U V hUV I J i x hi
end Affine
end Balanced.ConditionalOrderVariance
end OAI