openAI-math-dataset / lean /OAI /Probability /SKBarriers /Replicas /TripleRecursiveExpansion.lean
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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Scalar.ScalarCDFLimit
import OAI.Probability.SKBarriers.Hierarchy.HierarchySandwich
import OAI.Probability.SKBarriers.Hierarchy.HierarchyScoreGeneral
import OAI.Probability.SKBarriers.Scalar.ScalarSymmetricTaylor
import OAI.Probability.SKBarriers.Scalar.UniformExpansion
namespace OAI
section
noncomputable section
open scoped BigOperators NNReal Topology
open MeasureTheory ProbabilityTheory Filter Set
namespace SK.Analytic
attribute [local instance 2000] parameterNormedGroup parameterNormedSpace
section Linear
variable {E : Type} [NormedAddCommGroup E] [NormedSpace ℝ E]
theorem scalar_composition_coordinate_bound {f : ℝ → ℝ} (hf : BoundedDerivs f)
(hL : LipschitzWith 1 f) (X : E →L[ℝ] ℝ) (z e : E) :
|fderiv ℝ (f ∘ X) z e| ≤ |X e| := by
rw [fderiv_comp z (hf.1.differentiable (by norm_num) _) X.differentiableAt,
X.fderiv,ContinuousLinearMap.comp_apply]
have H := ((fderiv ℝ f (X z)).le_opNorm (X e)).trans
(mul_le_mul_of_nonneg_right (norm_fderiv_le_of_lipschitz ℝ hL) (norm_nonneg _))
simpa only [Real.norm_eq_abs,NNReal.coe_one,one_mul] using H
end Linear
def tripleMiddleBoundary (f : ℝ → ℝ) {n : ℕ}
(X Z : ParameterSpace n →L[ℝ] ℝ) : ParameterSpace n → ℝ :=
fun z => f (X z)+2*f (Z z)
def tripleModifiedBoundary (f : ℝ → ℝ) {n : ℕ}
(X Z Y : ParameterSpace n →L[ℝ] ℝ) (δ : ℝ) : ParameterSpace n → ℝ :=
fun z => f (X z)+f (Z z+δ*Y z)+f (Z z-δ*Y z)
theorem tripleMiddleBoundary_regular {n : ℕ} {f : ℝ → ℝ} (hf : BoundedDerivs f)
(X Z : ParameterSpace n →L[ℝ] ℝ) : BoundedDerivs (tripleMiddleBoundary f X Z) :=
(hf.compCLM X).add ((hf.compCLM Z).const_mul 2)
theorem tripleModifiedBoundary_regular {n : ℕ} {f : ℝ → ℝ} (hf : BoundedDerivs f)
(X Z Y : ParameterSpace n →L[ℝ] ℝ) (δ : ℝ) :
BoundedDerivs (tripleModifiedBoundary f X Z Y δ) :=
((hf.compCLM X).add (hf.compCLM (Z+δ • Y))).add (hf.compCLM (Z-δ • Y))
theorem tripleMiddleBoundary_coordinate_bound {n : ℕ} {f : ℝ → ℝ} (hf : BoundedDerivs f)
(hL : LipschitzWith 1 f) (X Z : ParameterSpace n →L[ℝ] ℝ) (i : Fin n) (z : ParameterSpace n) :
|fderiv ℝ (tripleMiddleBoundary f X Z) z (coordinateAxis n i)| ≤
|X (coordinateAxis n i)|+2*|Z (coordinateAxis n i)| := by
let F := f ∘ X
let G := f ∘ Z
have hF := (hf.compCLM X).1.differentiable (by norm_num)
have hG := (hf.compCLM Z).1.differentiable (by norm_num)
change |fderiv ℝ (fun z => F z+2*G z) z (coordinateAxis n i)| ≤ _
dsimp only [F,G,Function.comp_def]
rw [fderiv_fun_add (hF z) ((hG z).const_mul 2),fderiv_const_mul (hG z),
add_apply,smul_apply,smul_eq_mul]
calc
_ ≤ |fderiv ℝ F z (coordinateAxis n i)|+|2*fderiv ℝ G z (coordinateAxis n i)| := abs_add_le _ _
_ ≤ _ := by
rw [abs_mul,abs_of_pos (by norm_num : (0:ℝ)<2)]
exact add_le_add (scalar_composition_coordinate_bound hf hL X z _)
(mul_le_mul_of_nonneg_left (scalar_composition_coordinate_bound hf hL Z z _) (by norm_num))
theorem tripleMiddle_recursive_expansion (n t : ℕ) (m : Fin n → ℝ) (p v : Fin t → ℝ)
(hm : ∀ i, m i∈Icc (0:ℝ) 1) (hmono : Monotone m)
(hp : ∀ i, p i∈Icc (0:ℝ) 1) (hpmono : Monotone p)
(X Z : ParameterSpace n →L[ℝ] ℝ) (a : Fin n → ℝ) (x : ℝ)
{c δ : ℝ} (hc : 0<c) (hδ : 4*δ^2 ≤ c) (hδ1 : |δ| ≤ 1)
(hsmall : c*(4*(∑ i, (a i)^2)+
(2*∑ i, |a i| *(|X (coordinateAxis n i)|+2*|Z (coordinateAxis n i)|))^2) ≤ 1/2) :
let f := scalarHierarchy t p v scalarSpinTerminal
let F := tripleMiddleBoundary f X Z
let Y := coordinateLinear n a
hierarchyPressure n m (tripleModifiedBoundary f X Z Y δ) x ≤
hierarchyPressure n m F x+
δ^2*(∫ z, rootHessian 0 f (Z z)*(Y z)^2 ∂hierarchyPathLaw n m F x)+
((2*(susceptibilityLipschitzConstant:ℝ)*(1+2/c^2)+32/c^2)*2)*|δ|^3 := by
dsimp only
let f := scalarHierarchy t p v scalarSpinTerminal
let F := tripleMiddleBoundary f X Z
let Y := coordinateLinear n a
let G := tripleModifiedBoundary f X Z Y δ
let μ := hierarchyPathLaw n m F x
have hf : BoundedDerivs f := scalarHierarchy_spin_regular t p v
have hFL : LipschitzWith 1 f := scalarHierarchy_lipschitz t p v (fun i => (hp i).1)
scalarSpinTerminal_regular scalarSpinTerminal_lipschitz
have hF : BoundedDerivs F := tripleMiddleBoundary_regular hf X Z
have hG : BoundedDerivs G := tripleModifiedBoundary_regular hf X Z Y δ
have hU : BoundedDerivs (fun z => G z-F z) := by
simpa only [neg_one_mul,← sub_eq_add_neg] using hG.add (hF.const_mul (-1))
let := hierarchyPathLaw_probability n m F hF x
obtain ⟨hE,hM⟩ := hierarchy_exp_square_bound n m hm hmono F hF
(fun i => |X (coordinateAxis n i)|+2*|Z (coordinateAxis n i)|) (by intro i; positivity)
(fun z i => tripleMiddleBoundary_coordinate_bound hf hFL X Z i z) x a hc.le hsmall
have hΔ : Integrable (fun z => G z-F z) μ :=
hU.hasExpGrowth.integrable_hierarchyPathLaw n m hF hU.1.continuous x
have hcA : Continuous (fun z : ParameterSpace n => rootHessian 0 f (Z z)) :=
(scalarHierarchy_spin_hessian_lipschitz t p v hp hpmono).continuous.comp Z.continuous
have hbA (z : ParameterSpace n) : ‖rootHessian 0 f (Z z)‖ ≤ 1 := by
have H := scalarHierarchy_spin_derivative_bounds t p v hp (Z z)
change |fderiv ℝ (fderiv ℝ f) (Z z) 1 1| ≤ 1
rw [abs_of_pos H.2.1]
exact H.2.2.trans (sub_le_self _ (sq_nonneg _))
have hA : Integrable (fun z => rootHessian 0 f (Z z)*(Y z)^2) μ :=
((HasExpGrowth.of_bounded zero_le_one hbA).mul ((HasExpGrowth.linear Y).pow 2)).integrable_hierarchyPathLaw
n m hF (hcA.mul (Y.continuous.pow 2)) x
have he (z) : G z-F z=symmetricIncrement f (Z z) (δ*Y z) := by
dsimp [F,G,tripleMiddleBoundary,tripleModifiedBoundary,symmetricIncrement]; ring
have H := log_integral_exp_cubic_expansion μ Y (fun z => G z-F z)
(fun z => rootHessian 0 f (Z z)) Y.continuous.aestronglyMeasurable hΔ hA hc hδ hδ1
(by positivity : 0 ≤ 2*(susceptibilityLipschitzConstant:ℝ)) hE hM
(ae_of_all _ (fun z => by rw [he]; exact (scalarHierarchy_symmetricIncrement_bounds t p v hp hpmono _ δ _).1))
(ae_of_all _ (fun z => by rw [he]; exact (scalarHierarchy_symmetricIncrement_bounds t p v hp hpmono _ δ _).2))
have HS := (hierarchyPressure_increment_integral_sandwich n m hm hF hG x).2
change hierarchyPressure n m G x ≤ hierarchyPressure n m F x+_+_
linarith
end SK.Analytic
end
end
end OAI