CombineFiniteMean #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Corrected finite-corridor mean estimate #
This module bounds comparator-centered starred coarse quadratics under the same-cutoff relative-normalized law. It combines the relative-origin error comparison with real-stationary descendant averaging.
noncomputable def
Algsuperdiff.Section3.Provider.Homogenization.starredComparatorQuadraticRaw
{d : ℕ}
(B : HCPolySupport.FullBlockMat d)
(C : HCPolySupport.BlockMat d)
(q : HCPolySupport.FullBlockVec d)
(U : Set (HCPolySupport.Vec d))
(a : HCPolySupport.CoeffField d)
:
The square-root-conjugated quadratic difference from a coarse comparator matrix.
Equations
- One or more equations did not get rendered due to their size.
Instances For
noncomputable def
Algsuperdiff.Section3.Provider.Homogenization.starredComparatorQuadratic
{d : ℕ}
(B : HCPolySupport.FullBlockMat d)
(C : HCPolySupport.BlockMat d)
(q : HCPolySupport.FullBlockVec d)
(U : Set (HCPolySupport.Vec d))
(a : HCPolySupport.RegCoeffField d)
:
The coarse comparator quadratic evaluated on a regular coefficient field.
Equations
Instances For
noncomputable def
Algsuperdiff.Section3.Provider.Homogenization.twoTermSecondFourthBudget
(A D : ℝ)
:
The combined second- and fourth-moment budget for two stretched-exponential tails.
Equations
- One or more equations did not get rendered due to their size.
Instances For
theorem
Algsuperdiff.Section3.Provider.Homogenization.relativeStarredComparator_origin_and_descendant_moment_bounds
{d : ℕ}
[NeZero d]
(M : ABKModel d)
(L n : ℤ)
(hLn : L ≤ n)
{s A D : ℝ}
(hs : 0 < s)
(hLower :
Probability.IsTwoTermBigOWith (↑(Cutoff.cutoffSampleLaw M)) (HCPolySupport.IndependentSums.gammaSigma 2)
(HCPolySupport.IndependentSums.gammaSigma (1 / 2)) (Observable.cutoffHomogenizationError M L ⟨s, hs⟩) A D)
(q : HCPolySupport.FullBlockVec d)
:
have c := ↑(Cutoff.cutoffRelativeNormalizationShift d);
have P := Cutoff.relativeNormalizedCutoffLaw M L;
have sigma := Annealed.sigmaBar M L;
have a0 := Observable.isotropicComparatorMatrix sigma;
have B := HCPolySupport.Book.Ch02.constantFullBlockMatrix a0;
have C0 := HCPolySupport.Book.Ch02.constantBlockMatrix a0;
have X := fun (U : Set (HCPolySupport.Vec d)) (a : HCPolySupport.RegCoeffField d) =>
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.fullBlockQuadratic (starredFluctuationMatrix B C0 U a) q;
have parent := n - L - c;
have N := ↑(HCPolySupport.descendantsAtScale (HCPolySupport.originCube d parent) (-c)).card;
have budget :=
2 * ((HCPolySupport.IndependentSums.gammaMomentConst 2 * 2 ^ 2⁻¹ * A) ^ 2 + (HCPolySupport.IndependentSums.gammaMomentConst (1 / 2) * 2 ^ (1 / 2)⁻¹ * D) ^ 2) + 8 * ((HCPolySupport.IndependentSums.gammaMomentConst 2 * 4 ^ 2⁻¹ * A) ^ 4 + (HCPolySupport.IndependentSums.gammaMomentConst (1 / 2) * 4 ^ (1 / 2)⁻¹ * D) ^ 4);
have probeBudget := 6 * (q ⬝ᵥ q) ^ 2 * budget;
have K := √probeBudget;
MeasureTheory.Integrable
(fun (a : HCPolySupport.RegCoeffField d) => X (HCPolySupport.cubeSet (HCPolySupport.originCube d (-c))) a ^ 2) P ∧ ∫ (a : HCPolySupport.RegCoeffField d), X (HCPolySupport.cubeSet (HCPolySupport.originCube d (-c))) a ^ 2 ∂P ≤ probeBudget ∧ MeasureTheory.Integrable
(fun (a : HCPolySupport.RegCoeffField d) =>
|HCPolySupport.Book.Ch04.restrictionCenteredDescendantAverage P (-c) parent X a| ^ 2)
P ∧ (∫ (a : HCPolySupport.RegCoeffField d), |HCPolySupport.Book.Ch04.restrictionCenteredDescendantAverage P (-c) parent X a| ^ 2 ∂P) ^ (1 / 2) ≤ N⁻¹ * (HCPolySupport.Book.Ch04.rosenthalDescendantsAtScaleLpConst d (-c) 2 * N ^ (1 / 2) * K + HCPolySupport.Book.Ch04.rosenthalDescendantsAtScaleSqrtConst d (-c) 2 * √N * K)
Raw relative-origin and centered descendant second-moment bounds used by the quantitative finite-corridor consumer.