Coarse-graining support: Support.CoarseGraining.HilbertMinimizationMeasurability #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Measurability primitives for Hilbert minimizers #
This file contains generic measurable-operator facts needed to prove
measurable dependence of the Hilbert minimizer maps used in the doubled Mu
problem. These are upstream primitives, not Chapter 5 wrappers.
Inversion of continuous linear maps is continuous on the subtype of invertible maps.
A measurable family of invertible continuous linear maps has a measurable family of inverses.
Joint measurability of applying a measurable family of continuous linear maps to a measurable family of vectors.
Entries of the total matrix inverse are measurable functions of the matrix entries. This is a finite-dimensional primitive used by Galerkin approximations; invertibility is not needed for measurability because Lean's matrix inverse is total.
The finite Galerkin Gram matrix for the bilinear form B on a selected
finite family of correction vectors.
Equations
- HCPolySupport.galerkinMatrix B e i j = (B (e j)) (e i)
Instances For
The finite Galerkin right-hand side for the affine shift x.
Equations
- HCPolySupport.galerkinRhs B x e i = -(B x) (e i)
Instances For
The coordinate vector obtained from the total inverse of the finite Galerkin Gram matrix. Coercivity later identifies this total inverse with the honest finite-dimensional inverse.
Equations
- HCPolySupport.galerkinCoeff B x e j = ∑ i : Fin n, (HCPolySupport.galerkinMatrix B e)⁻¹ j i * HCPolySupport.galerkinRhs B x e i
Instances For
The finite Galerkin correction vector assembled from its measurable coordinate vector.
Equations
- HCPolySupport.galerkinCorrection B x e = ∑ j : Fin n, HCPolySupport.galerkinCoeff B x e j • e j
Instances For
The finite Galerkin affine minimizer.
Equations
Instances For
Measurability of the finite Galerkin Gram matrix from scalar probe measurability of the bilinear form.
Measurability of the finite Galerkin right-hand side from scalar probe measurability.
Measurability of the finite Galerkin coefficient vector.
Measurability of each finite Galerkin correction.
Measurability of each finite Galerkin affine minimizer.
Strong measurability of each finite Galerkin affine minimizer from scalar
Gram/RHS probe measurability. Unlike measurable_galerkinAffineMinimizer,
this theorem does not require a second-countable target space; it assembles the
finite-dimensional correction from strongly measurable real coordinates.
A pointwise limit of finite Galerkin affine minimizers is strongly measurable. This is the generic measurability bridge for selected Hilbert solutions once convergence of the Galerkin scheme has been proved.
A pointwise limit of finite Galerkin affine minimizers is strongly measurable, using the finite-dimensional strong-measurability theorem and therefore avoiding any second-countability assumption on the Hilbert target.
An a.e. pointwise limit of finite Galerkin affine minimizers is a.e.-strongly measurable.
The selected affine Hilbert minimizer is strongly measurable once finite Galerkin minimizers satisfy the deterministic energy-comparison convergence hypotheses. This is the generic "finite Galerkin convergence implies measurable maximizer/minimizer" bridge.
A.e.-strong measurability version of
stronglyMeasurable_of_galerkin_energy_approximants.
The Hilbert correction map is the inverse of the Lax-Milgram operator on the restricted correction subspace, applied to the affine right-hand side.
Measurability of the Hilbert correction map follows from measurability of the restricted Lax-Milgram operator and the affine right-hand side.
Measurability of the affine Hilbert minimizer follows from measurability of the affine shift, the restricted Lax-Milgram operator, and the affine right-hand side.
Measurability of the parameterized affine Hilbert minimizer.