Coarse-graining support: Support.Book.Ch05.Theorems.Section56.VarianceEstimateQuadratic.Basic #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Section 5.6: variance triangle for normalized block fluctuations #
This file records the part of Lemma l.variance.estimate.quadratic in which
the manuscript variance is interpreted by the Section 5.4 squared
Euclidean-operator-norm fluctuation observable.
Entrywise descendant average of full block matrices.
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- HCPolySupport.Book.Ch05.Section56.descendantsAverageFullBlockMat Q j F α β = HCPolySupport.descendantsAverage Q j fun (R : HCPolySupport.TriadicCube d) => F R α β
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The normalized fluctuation matrix of the descendant-average coarse block.
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Squared operator norm of the normalized descendant-average fluctuation.
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Normalized difference between the parent fluctuation and the descendant
average fluctuation. This is the operator-norm error term before it is
estimated by block J.
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The positive coarse-average defect, with the sign used by block
subadditivity. Its squared operator norm is the same as
normalizedCoarseAverageErrorMatrix.
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Squared operator norm of the normalized parent-minus-descendant-average error.
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Full-block fluctuation normalized by an arbitrary deterministic matrix.
For the manuscript lemma, take S = B^{-1/2}; the congruence is written as
Sᵀ M S, which agrees with B^{-1/2} M B^{-1/2} for the symmetric positive
definite square root.
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Squared operator norm of the arbitrary-normalizer full-block fluctuation.
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Arbitrary-normalizer full-block fluctuation on a triadic cube.
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Descendant average of arbitrary-normalizer full-block fluctuation matrices.
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Squared operator norm of the descendant-average arbitrary-normalizer fluctuation matrix.
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Parent-minus-descendant-average error for an arbitrary normalizer.
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Descendant-average-minus-parent error for an arbitrary normalizer, with the sign used by block subadditivity.
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Squared operator norm of the arbitrary-normalizer parent-minus-descendant average error.
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The Ch4 block response observable, repackaged using the two block vectors
P and Q. The ordering matches the doubled formalism:
BlockJ (p,q) (qStar,pStar) is stored as
blockJObservableCubeSet Q p pStar q qStar.
Equations
- HCPolySupport.Book.Ch05.Section56.blockJObservableCubeSetBlockVec Q P Qv = HCPolySupport.Book.Ch04.blockJObservableCubeSet Q P.1 Qv.2 P.2 Qv.1
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Coordinate probe associated with an arbitrary full-block matrix.
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The trace-type descendant-average J budget with arbitrary deterministic
normalizers. In the manuscript case, use S = B^{-1/2} and T = B^{1/2}.
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Squared trace-type descendant-average J budget with arbitrary
normalizers.
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Diagonal square-root multiplier dual to Ch04.scalarFullBlockInvSqrtDiag.
For the lower starred block the scalar block is c⁻¹, hence the square-root
multiplier is (sqrt c)⁻¹.
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Coordinate probe B^{-1/2} e_α for the scalar block normalization at the
center scale.
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Coordinate probe B^{1/2} e_α for the scalar block normalization at the
center scale.
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The manuscript trace-type descendant average
avg_R sum_i J(R,B^{-1/2}e_i,B^{1/2}e_i), written for the scalar block
normalization used by the Section 5.4 fluctuation observable.
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The upper-coordinate part of normalizedBlockJTraceAverage. The
wrap-around trace estimate naturally produces this half of the full block
trace budget; the lower half is nonnegative and is added back below.
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Squared trace-type descendant average of the normalized block responses.
Equations
- HCPolySupport.Book.Ch05.Section56.normalizedBlockJTraceAverageSq hP hStruct center Q j a = HCPolySupport.Book.Ch05.Section56.normalizedBlockJTraceAverage hP hStruct center Q j a ^ 2