openAI-math-dataset / lean /OAI /Geometry /PinnedDistances /LimitObstruction.lean
roseking's picture
Add lean source and binary files (part 71)
2fca478 verified
Raw History Blame Contribute Delete
4.21 kB
import OAI.Geometry.PinnedDistances.FiniteObstruction
namespace OAI
universe u1 u2
section
noncomputable section
open MeasureTheory Filter Set
open scoped Topology
namespace WeakPinned.Bounded
local instance : MeasurableSpace Sphere := borel Sphere
local instance : BorelSpace Sphere := ⟨rfl⟩
variable {V : ℕ → Type u1} {I : ℕ → Type u2} [∀ n,Fintype (V n)] [∀ n,DecidableEq (V n)] [∀ n,Fintype (I n)]
/-- The actual finite expanded graph laws cannot have nonatomic coordinate limits
and the two test-independence properties supplied by the variance estimates. -/
theorem graph_limit_impossible
(G : ∀ n,Core.Fibers (V n) (I n)) (U₁ U₂ : ∀ n,V n → ℂ)
(hG : ∀ n,0<(G n).edgeCount) (hB : ∀ n e,((G n).targets e).Nonempty)
(hn : ∀ n,2≤Fintype.card (V n))
(β₁ β₂ : ProbabilityMeasure Sphere) (Q : ProbabilityMeasure (Quad Sphere))
(R : ProbabilityMeasure (Expanded Sphere))
[NullSingletonClass (β₁:Measure Sphere)] [NullSingletonClass (β₂:Measure Sphere)]
(hα₁ : Tendsto (fun n => uniformProbability (fun x => (U₁ n x:Sphere)) (by have:=hn n;omega)) atTop (𝓝 β₁))
(hα₂ : Tendsto (fun n => uniformProbability (fun x => (U₂ n x:Sphere)) (by have:=hn n;omega)) atTop (𝓝 β₂))
(hQ : Tendsto (fun n => edgeProbability (G n) (fun x => (U₁ n x:Sphere))
(fun x => (U₂ n x:Sphere)) (hG n) (hB n)) atTop (𝓝 Q))
(hR : Tendsto (fun n => expandedProbability (G n) (fun x => (U₁ n x:Sphere))
(fun x => (U₂ n x:Sphere)) (hG n) (hB n)) atTop (𝓝 R))
(hd₁ : ∀ f : C(Sphere,ℝ),Tendsto (fun n => testDiscrep (G n).fiberWeight (G n).targets
(fun x => f (U₁ n x:Sphere))) atTop (𝓝 0))
(hd₂ : ∀ f : C(Sphere,ℝ),Tendsto (fun n => testDiscrep (G n).fiberWeight (G n).targets
(fun x => f (U₂ n x:Sphere))) atTop (𝓝 0))
(T : ℕ → ℝ) (hT : ∀ n,0<T n)
(hdR : ∀ f : C(Sphere,ℝ),Tendsto (fun n => testDiscrep ((G n).retainedWeight (T n))
((G n).retainedSet (T n)) (fun x => f (U₁ n x:Sphere))) atTop (𝓝 0))
(ho : Tendsto (fun n => (G n).omittedMass (T n)) atTop (𝓝 0))
(M : ℝ) (hM : 0≤M) (hdom : ∀ n x y,(G n).edgeLaw x y≤M*Variance.pairProb Finset.univ x y)
(hrel : ∀ n e y z,y∈(G n).targets e → z∈(G n).targets e →
(U₁ n y-U₁ n ((G n).source e))*(U₂ n y-U₂ n ((G n).source e))=
(U₁ n z-U₁ n ((G n).source e))*(U₂ n z-U₂ n ((G n).source e))) : False := by
let : TopologicalSpace.PseudoMetrizableSpace Sphere := inferInstance
let : TopologicalSpace.PseudoMetrizableSpace (Quad Sphere) := inferInstance
let : TopologicalSpace.PseudoMetrizableSpace (Sphere × Sphere) := inferInstance
let : TopologicalSpace.PseudoMetrizableSpace (Expanded Sphere) := inferInstance
let S₁ := fun n x => (U₁ n x:Sphere)
let S₂ := fun n x => (U₂ n x:Sphere)
have hm₁ := expanded_marginal_limit G S₁ S₂ hG hB hn Prod.fst continuous_fst β₁ Q R hα₁ hQ hR hd₁
have hm₂ := expanded_marginal_limit G S₁ S₂ hG hB hn Prod.snd continuous_snd β₂ Q R hα₂ hQ hR hd₂
have he := weak_map_eq
(fun n => expandedProbability (G n) (S₁ n) (S₂ n) (hG n) (hB n)) R
(fun n => edgeProbability (G n) (S₁ n) (S₂ n) (hG n) (hB n)) Q
Prod.fst continuous_fst hR hQ
(fun n => expandedProbability_edge (G n) (S₁ n) (S₂ n) (hG n) (hB n))
have hi := incoming_limit G S₁ S₂ hG hB hn T hT β₁ Q hα₁ hQ hdR ho
have hac := edge_ac_limit G S₁ S₂ hG hB hn β₁ β₂ Q hα₁ hα₂ hQ M hM hdom
have hz := weak_chart_closed expandedCoe expandedCoe_open
(fun n => expandedProbability (G n) (S₁ n) (S₂ n) (hG n) (hB n)) R hR
zEquation zEquation_closed
(fun n => (expanded_chart_zero (G n) (U₁ n) (U₂ n) (hG n) (hB n) (hrel n)).1)
have hw := weak_chart_closed expandedCoe expandedCoe_open
(fun n => expandedProbability (G n) (S₁ n) (S₂ n) (hG n) (hB n)) R hR
wEquation wEquation_closed
(fun n => (expanded_chart_zero (G n) (U₁ n) (U₂ n) (hG n) (hB n) (hrel n)).2)
exact no_sphere_expanded β₁ β₂ Q R he hm₁ hm₂ hi hac.1 hac.2 hz hw
end WeakPinned.Bounded
end
end
end OAI