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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Hierarchy.HierarchyBlocks
namespace OAI
section
section
noncomputable section
open scoped BigOperators
open MeasureTheory ProbabilityTheory Filter
namespace SK.Analytic
attribute [local instance 1900] cascadeNormedGroup cascadeNormedSpace
attribute [local instance 2000] parameterNormedGroup parameterNormedSpace
theorem parameterAppend_noise_axis (a b : ℕ) (i : Fin b) :
parameterAppend a b (parameterNoise (E := ParameterSpace a) b (coordinateAxis b i)) =
coordinateAxis (a+b) ⟨a+i.val,by omega⟩ := by
induction b with
| zero => exact Fin.elim0 i
| succ b ih =>
refine Fin.lastCases ?_ (fun i => ?_) i
· rw [coordinateAxis_last]
have he : (⟨a+(Fin.last b).val,by omega⟩ : Fin (a+(b+1))) = Fin.last (a+b) := by
apply Fin.ext; simp
rw [he]
change _ = coordinateAxis ((a+b)+1) (Fin.last (a+b))
rw [coordinateAxis_last]
change (parameterAppend a b (parameterNoise (E := ParameterSpace a) b 0),1) = (0,1)
rw [map_zero,map_zero]
· rw [coordinateAxis_castSucc]
have he : (⟨a+i.castSucc.val,by omega⟩ : Fin (a+(b+1))) = (⟨a+i.val,by omega⟩ : Fin (a+b)).castSucc := by
rfl
rw [he]
change _ = coordinateAxis ((a+b)+1) (⟨a+i.val,by omega⟩ : Fin (a+b)).castSucc
rw [coordinateAxis_castSucc]
change (parameterAppend a b (parameterNoise (E := ParameterSpace a) b (coordinateAxis b i)),0) = _
rw [ih]
theorem parameterBlocks_noise_axis (a b d : ℕ) (i : Fin b) :
parameterBlocks a b d (cascadeLift d (parameterNoise (E := ParameterSpace a) b (coordinateAxis b i))) =
coordinateAxis (a+(b+d)) ⟨a+i.val,by omega⟩ := by
induction d with
| zero => exact parameterAppend_noise_axis a b i
| succ d ih =>
change (parameterBlocks a b d (cascadeLift d (parameterNoise (E := ParameterSpace a) b (coordinateAxis b i))),0) = _
rw [ih]
change _ = coordinateAxis ((a+(b+d))+1) (⟨a+i.val,by omega⟩ : Fin (a+(b+d))).castSucc
rw [coordinateAxis_castSucc]
end SK.Analytic
end
end
end
end OAI