Coarse-graining support: #
Support.Book.Ch05.Theorems.Section54.VarianceBoundGoodScale.RefinedAssembly
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Refined matrix assembly #
This file plugs the refined scalar probe estimates into the finite-dimensional
matrix upgrade. The per-scale budget is now expressed in terms of delta and
\widetilde\Theta_0.
noncomputable def
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.coordinateProbeRefinedVarianceBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP4 : QuantitativeCoarseGrainedEllipticity P)
(delta : ℝ)
(j : ℕ)
(α : BlockCoord d)
:
Refined coordinate-probe scalar variance budget at scale j.
Equations
- One or more equations did not get rendered due to their size.
Instances For
noncomputable def
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.plusProbeRefinedVarianceBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP4 : QuantitativeCoarseGrainedEllipticity P)
(delta : ℝ)
(j : ℕ)
(α β : BlockCoord d)
:
Refined plus-pair scalar variance budget at scale j.
Equations
- One or more equations did not get rendered due to their size.
Instances For
noncomputable def
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.minusProbeRefinedVarianceBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP4 : QuantitativeCoarseGrainedEllipticity P)
(delta : ℝ)
(j : ℕ)
(α β : BlockCoord d)
:
Refined minus-pair scalar variance budget at scale j.
Equations
- One or more equations did not get rendered due to their size.
Instances For
noncomputable def
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.refinedMatrixVarianceScaleBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP4 : QuantitativeCoarseGrainedEllipticity P)
(delta : ℝ)
(j : ℕ)
:
Refined finite-probe matrix variance budget at one scale.
Equations
- One or more equations did not get rendered due to their size.
Instances For
theorem
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.fluctuationNormSq_integral_le_refinedMatrixVarianceBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP : Ch04.RestrictionLawCarrier P)
(hStruct : Ch04.RestrictionStructuralLaw P)
(hP4 : QuantitativeCoarseGrainedEllipticity P)
{delta : ℝ}
(hdelta_nonneg : 0 ≤ delta)
(m j : ℕ)
(hj : j ≤ m)
(hgood_upper : hP.barSigmaAtScale hStruct 0 ≤ (1 + delta) * hP.barSigmaAtScale hStruct ↑m)
(hgood_lower : (hP.barSigmaStarAtScale hStruct 0)⁻¹ ≤ (1 + delta) * (hP.barSigmaStarAtScale hStruct ↑m)⁻¹)
:
∫ (a : RegCoeffField d), Ch04.fullBlockNormalizedFluctuationOperatorNormSqAtScale hP hStruct (↑m) (originCube d ↑j) a ∂P ≤ refinedMatrixVarianceScaleBound hP4 delta j
Per-scale matrix variance bound using the refined scalar probe estimates.
theorem
HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.varianceGoodScaleFullBlockSumAtScale_le_weighted_refinedMatrixVarianceScaleBound
{d : ℕ}
[NeZero d]
{P : Ch04.RestrictionCoeffLaw d}
(hP : Ch04.RestrictionLawCarrier P)
(hStruct : Ch04.RestrictionStructuralLaw P)
(hP4 : QuantitativeCoarseGrainedEllipticity P)
{delta : ℝ}
(hdelta_nonneg : 0 ≤ delta)
(m : ℕ)
(hgood_upper : hP.barSigmaAtScale hStruct 0 ≤ (1 + delta) * hP.barSigmaAtScale hStruct ↑m)
(hgood_lower : (hP.barSigmaStarAtScale hStruct 0)⁻¹ ≤ (1 + delta) * (hP.barSigmaStarAtScale hStruct ↑m)⁻¹)
:
varianceGoodScaleFullBlockSumAtScale hP hStruct hP4 m ≤ ∑ j ∈ Finset.Icc 1 m, varianceWeight (section54VarianceBeta hP4) m j * refinedMatrixVarianceScaleBound hP4 delta j
The variance sum is bounded by the beta-weighted refined per-scale budgets.