Coarse-graining support: Support.Book.Ch04.Theorems.CanonicalSolutions.Definitions #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Canonical solution-field measurability #
This file is the public Ch4 handoff for selected canonical doubled-Mu
Hilbert minimizers. The definition below is total: on coefficient fields that
lie in some AEE quantitative slice it uses the least slice index, and outside
that support it returns 0. Under a RestrictionLawCarrier, the outside branch is null.
The canonical totalized selected doubled-Mu Hilbert minimizer on a
deterministic cube. On fields that belong to some AEE quantitative slice it
uses the least such slice index; outside the AEE slice cover it is 0.
The law-facing theorem
RestrictionLawCarrier.aestronglyMeasurable_canonicalMuHilbertMinimizer_cubeSet shows
that this totalization is harmless under a RestrictionLawCarrier.
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Potential component of the selected doubled-Mu Hilbert minimizer on a
deterministic cube.
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Flux component of the selected doubled-Mu Hilbert minimizer on a
deterministic cube.
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Ch4 selected doubled-Mu potential field with response loading (-p, q).
This object is measurable and useful for the doubled-Mu problem, but it is
not, by definition, the raw scalar response-maximizer gradient
∇ v(·, Q, p, q; a). Section 5.3 weak norms should use the scalar-response
average and weak-norm observables below, which add the selected doubled-Mu
projection to its coefficient-operator image averages.
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Ch4 selected doubled-Mu flux field with response loading (-p, q).
This is the flux projection of the selected doubled-Mu minimizer. It is not,
by definition, the raw scalar response flux a ∇ v(·, Q, p, q; a).
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The selected doubled-Mu potential field averaged over R, viewed as a
continuous postcomposition of the parent-cube Hilbert L² field on Q.
The intended use is R ∈ descendantsAtDepth Q j, but the definition is total.
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The selected doubled-Mu flux field averaged over R, viewed as a continuous
postcomposition of the parent-cube Hilbert L² field on Q.
The intended use is R ∈ descendantsAtDepth Q j, but the definition is total.
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Finite descendant average of the selected doubled-Mu potential averages.
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Finite descendant average of the selected doubled-Mu flux averages.
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Finite-depth selected doubled-Mu potential weak norm, expressed only through
descendant averages of the selected doubled-Mu Hilbert field.
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Finite-depth selected doubled-Mu flux weak norm, expressed only through
descendant averages of the selected doubled-Mu Hilbert field.
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Full selected doubled-Mu potential weak norm, as the countable supremum of the
finite-depth norms.
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- HCPolySupport.Book.Ch04.canonicalDoubledMuResponsePotentialWeakNormCubeSet Q s p q p0 a = ⨆ (N : ℕ), HCPolySupport.Book.Ch04.canonicalDoubledMuResponsePotentialWeakNormPartialCubeSet Q s N p q p0 a
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Full selected doubled-Mu flux weak norm, as the countable supremum of the
finite-depth norms.
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- HCPolySupport.Book.Ch04.canonicalDoubledMuResponseFluxWeakNormCubeSet Q t p q q0 a = ⨆ (N : ℕ), HCPolySupport.Book.Ch04.canonicalDoubledMuResponseFluxWeakNormPartialCubeSet Q t N p q q0 a
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Totalized fixed-test Hilbert energy pairing against the selected
canonical doubled-Mu minimizer. On the AEE elliptic support it uses the least
quantitative slice; outside that support it is set to 0.
This is an internal Ch4 scalar-response source: fixed indicator tests recover averages of the coefficient-operator image of the selected minimizer.
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A block test state with the cube indicator times the ith basis vector in its potential
component and zero flux.
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A block test state with the cube indicator times the ith basis vector in its flux component
and zero potential.
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Average over R of the upper component of the coefficient-operator image
of the selected doubled-Mu minimizer on Q.
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Average over R of the lower component of the coefficient-operator image
of the selected doubled-Mu minimizer on Q.
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Ch4 measurable representative of the raw scalar response-maximizer gradient
average over a descendant cube R.
Mathematically this is avg_R grad v(·, Q, p, q; a): it is extracted from the
selected doubled-Mu minimizer by adding its potential projection and the
lower coefficient-operator image.
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Ch4 measurable representative of the raw scalar response-maximizer flux
average over a descendant cube R.
Mathematically this is avg_R a grad v(·, Q, p, q; a): it is extracted from
the selected doubled-Mu minimizer by adding its flux projection and the upper
coefficient-operator image.
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Finite-depth weak norm of the raw scalar response-maximizer gradient
defect grad v_m - p0.
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Finite-depth weak norm of the raw scalar response-maximizer flux defect
a grad v_m - q0.
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Full weak norm of the raw scalar response-maximizer gradient defect.
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- HCPolySupport.Book.Ch04.canonicalScalarResponseGradientWeakNormCubeSet Q s p q p0 a = ⨆ (N : ℕ), HCPolySupport.Book.Ch04.canonicalScalarResponseGradientWeakNormPartialCubeSet Q s N p q p0 a
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Full weak norm of the raw scalar response-maximizer flux defect.
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- HCPolySupport.Book.Ch04.canonicalScalarResponseFluxWeakNormCubeSet Q t p q q0 a = ⨆ (N : ℕ), HCPolySupport.Book.Ch04.canonicalScalarResponseFluxWeakNormPartialCubeSet Q t N p q q0 a
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A pointwise Ch2 doubled-Mu minimizer on the open cube represents the
canonical Ch4 Hilbert minimizer selected on the corresponding half-open cube.
This is the bridge from the pointwise variational theorem used by Ch2 extraction to the measurable Hilbert minimizer used by Ch4.