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LeanPool.HighContrastHomogenization.Support.Probability.Source.Coarse.Laws

Coarse-graining support: Support.Probability.Source.Coarse.Laws #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

Every point of U is at Euclidean distance at least one from every point of V.

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    The coefficient law is invariant under every integer coordinate translation.

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      The local sigma algebras of measurable sets separated by Euclidean distance at least one are independent under the coefficient law.

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        The coefficient law is invariant under signed coordinate permutations and under taking the adjoint.

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          theorem HCPolySupport.Source.Coarse.iIndep_localSigma_of_pairwise_euclideanUnitSeparated {d : ℕ} {ι : Type u_1} (P : MeasureTheory.Measure (Carrier d)) [MeasureTheory.IsProbabilityMeasure P] (hP2 : IsUnitRangeDependent P) {U : ι → Set (Vec d)} (hU : ∀ (i : ι), MeasurableSet (U i)) (hsep : Pairwise fun (i j : ι) => EuclideanUnitSeparated (U i) (U j)) :
          ProbabilityTheory.iIndep (fun (i : ι) => localSigma (U i) ⋯) P
          theorem HCPolySupport.Source.Coarse.iIndepFun_of_localObservable_of_pairwise_euclideanUnitSeparated {d : ℕ} {ι : Type u_1} (P : MeasureTheory.Measure (Carrier d)) [MeasureTheory.IsProbabilityMeasure P] (hP2 : IsUnitRangeDependent P) {U : ι → Set (Vec d)} (hU : ∀ (i : ι), MeasurableSet (U i)) {β : ι → Type u_2} [(i : ι) → MeasurableSpace (β i)] {X : (i : ι) → Carrier d → β i} (hX : ∀ (i : ι), IsLocalObservable (U i) ⋯ (X i)) (hsep : Pairwise fun (i j : ι) => EuclideanUnitSeparated (U i) (U j)) :