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| import Mathlib | |
| import OAI.Probability.SKBarriers.Hierarchy.HierarchyPenalty | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| open scoped BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| noncomputable section | |
| open MeasureTheory Set Filter | |
| open scoped Topology Interval | |
| noncomputable section | |
| open MeasureTheory Set | |
| open scoped Interval | |
| noncomputable section | |
| open MeasureTheory Set Filter ProbabilityTheory | |
| open scoped Topology | |
| namespace SK.Analytic | |
| def scalarSign (b : Bool) : ℝ → ℝ := fun x => if b then -x else x | |
| @[simp] theorem scalarSign_involutive (b : Bool) (x : ℝ) : | |
| scalarSign b (scalarSign b x) = x := by cases b <;> simp [scalarSign] | |
| @[simp] theorem scalarSign_square (b : Bool) (x : ℝ) : | |
| (scalarSign b x)^2 = x^2 := by cases b <;> simp [scalarSign] | |
| @[simp] theorem scalarSign_false : scalarSign false = id := by | |
| funext x; simp [scalarSign] | |
| @[simp] theorem scalarSign_true : scalarSign true = fun x : ℝ => -x := by | |
| funext x; simp [scalarSign] | |
| theorem scalarSign_continuous (b : Bool) : Continuous (scalarSign b) := by | |
| cases b <;> simp only [scalarSign_false,scalarSign_true] <;> fun_prop | |
| def scalarSignEquiv (b : Bool) : ℝ ≃ᵐ ℝ where | |
| toFun := scalarSign b | |
| invFun := scalarSign b | |
| left_inv := scalarSign_involutive b | |
| right_inv := scalarSign_involutive b | |
| measurable_toFun := (scalarSign_continuous b).measurable | |
| measurable_invFun := (scalarSign_continuous b).measurable | |
| theorem scalarSign_gaussian (b : Bool) : | |
| MeasurePreserving (scalarSign b) (gaussianReal 0 1) (gaussianReal 0 1) := by | |
| refine ⟨(scalarSign_continuous b).measurable, ?_⟩ | |
| cases b | |
| · simp only [scalarSign_false,Measure.map_id] | |
| · simpa only [scalarSign_true,neg_zero] using (gaussianReal_map_neg (μ := 0) (v := 1)) | |
| theorem scalarSign_volume (b : Bool) : | |
| MeasurePreserving (scalarSign b) (volume : Measure ℝ) volume := by | |
| cases b | |
| · simpa only [scalarSign_false] using | |
| (MeasurePreserving.id (volume : Measure ℝ)) | |
| · simpa only [scalarSign_true] using Measure.measurePreserving_neg (volume : Measure ℝ) | |
| def coordinateSign : (n : ℕ) → (Fin n → Bool) → ParameterSpace n → ParameterSpace n | |
| | 0, _, z => z | |
| | n+1, b, z => (coordinateSign n (fun i => b i.castSucc) z.1,scalarSign (b (Fin.last n)) z.2) | |
| theorem coordinateSign_involutive (n : ℕ) (b : Fin n → Bool) : | |
| Function.Involutive (coordinateSign n b) := by | |
| induction n with | |
| | zero => intro z; rfl | |
| | succ n ih => | |
| intro z | |
| change (coordinateSign n (fun i => b i.castSucc) | |
| (coordinateSign n (fun i => b i.castSucc) z.1), | |
| scalarSign (b (Fin.last n)) (scalarSign (b (Fin.last n)) z.2)) = z | |
| rw [ih _ z.1, scalarSign_involutive] | |
| theorem coordinateSign_continuous (n : ℕ) (b : Fin n → Bool) : | |
| Continuous (coordinateSign n b) := by | |
| induction n with | |
| | zero => exact continuous_id | |
| | succ n ih => | |
| exact ((ih _).comp continuous_fst).prodMk ((scalarSign_continuous _).comp continuous_snd) | |
| def coordinateSignEquiv (n : ℕ) (b : Fin n → Bool) : ParameterSpace n ≃ᵐ ParameterSpace n where | |
| toFun := coordinateSign n b | |
| invFun := coordinateSign n b | |
| left_inv := coordinateSign_involutive n b | |
| right_inv := coordinateSign_involutive n b | |
| measurable_toFun := (coordinateSign_continuous n b).measurable | |
| measurable_invFun := (coordinateSign_continuous n b).measurable | |
| theorem coordinateSign_square (n : ℕ) (b : Fin n → Bool) (z : ParameterSpace n) : | |
| coordinateSquare n (coordinateSign n b z) = coordinateSquare n z := by | |
| induction n with | |
| | zero => rfl | |
| | succ n ih => simp only [coordinateSign,coordinateSquare,ih,scalarSign_square] | |
| theorem coordinateSign_fiber (n : ℕ) (b : Fin n → Bool) (t : ℝ) : | |
| MeasurePreserving (coordinateSign n b) (fiberMeasure n t) (fiberMeasure n t) := by | |
| induction n with | |
| | zero => exact MeasurePreserving.id _ | |
| | succ n ih => | |
| exact (ih (fun i => b i.castSucc)).prod (scalarSign_volume (b (Fin.last n))) | |
| theorem gaussianStep_sign {n : ℕ} {f : ParameterSpace (n+1) → ℝ} (b : Fin (n+1) → Bool) | |
| (hf : ∀ z, f (coordinateSign (n+1) b z) = f z) (m : ℝ) (z : ParameterSpace n) : | |
| gaussianStep m f (coordinateSign n (fun i => b i.castSucc) z) = gaussianStep m f z := by | |
| have he (y : ℝ) : f (coordinateSign n (fun i => b i.castSucc) z,y) = | |
| f (z,scalarSign (b (Fin.last n)) y) := by | |
| simpa only [coordinateSign,scalarSign_involutive] using | |
| hf (z,scalarSign (b (Fin.last n)) y) | |
| have hi (g : ℝ → ℝ) : (∫ y, g (scalarSign (b (Fin.last n)) y) ∂gaussianReal 0 1) = | |
| ∫ y, g y ∂gaussianReal 0 1 := | |
| (scalarSign_gaussian _).integral_comp (scalarSignEquiv _).measurableEmbedding g | |
| unfold gaussianStep positiveGaussianLogStep | |
| simp only [he] | |
| rw [hi (fun y => f (z,y)), hi (fun y => Real.exp (m*f (z,y)))] | |
| theorem hierarchyPenalty_sign (n : ℕ) (m : Fin n → ℝ) (u : ℝ) | |
| (f : ParameterSpace n → ℝ) (b : Fin n → Bool) | |
| (hf : ∀ z, f (coordinateSign n b z) = f z) (z : ParameterSpace n) : | |
| hierarchyPenalty n m u f (coordinateSign n b z) = hierarchyPenalty n m u f z := by | |
| induction n generalizing u with | |
| | zero => rfl | |
| | succ n ih => | |
| change (u-m (Fin.last n))*f (coordinateSign (n+1) b z) + | |
| hierarchyPenalty n (fun i => m i.castSucc) (m (Fin.last n)) | |
| (gaussianStep (m (Fin.last n)) f) (coordinateSign n (fun i => b i.castSucc) z.1) = _ | |
| rw [hf, ih _ _ _ _ (gaussianStep_sign b hf (m (Fin.last n)))] | |
| rfl | |
| theorem affineLogPartition_sign {S : Type} [Fintype S] [Nonempty S] | |
| (n : ℕ) (c : S → ℝ) (U : S → ParameterSpace n →L[ℝ] ℝ) | |
| (b : Fin n → Bool) (p : Equiv.Perm S) | |
| (hc : ∀ s, c (p s) = c s) (hU : ∀ s z, U s (coordinateSign n b z) = U (p s) z) | |
| (z : ParameterSpace n) : | |
| affineLogPartition c U (coordinateSign n b z) = affineLogPartition c U z := by | |
| unfold affineLogPartition | |
| congr 1 | |
| have he : (fun s => Real.exp (c s+U s (coordinateSign n b z))) = | |
| fun s => Real.exp (c (p s)+U (p s) z) := by | |
| funext s; rw [hc,hU] | |
| rw [he] | |
| exact Equiv.sum_comp p (fun s : S => Real.exp (c s+U s z)) | |
| theorem fixed_spin_gauge_integral (n : ℕ) (m : Fin n → ℝ) | |
| {S : Type} [Fintype S] [Nonempty S] | |
| (c : S → ℝ) (U : S → ParameterSpace n →L[ℝ] ℝ) | |
| (b : Fin n → Bool) (p : Equiv.Perm S) | |
| (hc : ∀ s, c (p s) = c s) (hU : ∀ s z, U s (coordinateSign n b z) = U (p s) z) | |
| (s : S) (g g' : ParameterSpace n → ℝ) | |
| (hg : ∀ z, g (coordinateSign n b z) = g' z) : | |
| (∫ z, g z * Real.exp (-(1/2 : ℝ)*coordinateSquare n z + U s z - | |
| hierarchyPenalty n m 1 (affineLogPartition c U) z) ∂fiberMeasure n 0) = | |
| (∫ z, g' z * Real.exp (-(1/2 : ℝ)*coordinateSquare n z + U (p s) z - | |
| hierarchyPenalty n m 1 (affineLogPartition c U) z) ∂fiberMeasure n 0) := by | |
| have hfs := affineLogPartition_sign n c U b p hc hU | |
| have hp := hierarchyPenalty_sign n m 1 (affineLogPartition c U) b hfs | |
| have hi := (coordinateSign_fiber n b 0).integral_comp | |
| (coordinateSignEquiv n b).measurableEmbedding | |
| (fun z => g z * Real.exp (-(1/2 : ℝ)*coordinateSquare n z+U s z- | |
| hierarchyPenalty n m 1 (affineLogPartition c U) z)) | |
| rw [← hi] | |
| congr 1 | |
| funext z | |
| rw [hg,coordinateSign_square,hU,hp] | |
| end SK.Analytic | |
| end | |
| end | |
| end | |
| end | |
| end | |
| end | |
| end OAI | |