Coarse-graining support: Support.Book.Ch05.Theorems.Section57.ProbeMax #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Normalized finite-probe maxima #
The quenched minimal-scale theorem needs one random observable which controls the localized response for every unit vector. The finite-basis reduction allows this observable to be a finite maximum over normalized coordinate and pair probes.
The three finite probe types: coordinate, sum of two coordinates, and difference of two coordinates.
- coord : NormalizedProbeKind
- plus : NormalizedProbeKind
- minus : NormalizedProbeKind
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The finite probe index set used to eliminate the continuum of unit vectors.
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Coordinate probes are already normalized; plus/minus probes are divided by two.
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Localized maximum over the normalized finite probe family.
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Localized first-quenched estimate for the normalized finite-probe maximum.
This is the fixed-vector localized estimate, applied to the finite normalized probe family and combined by the Chapter 4 finite-maximum rule.
Uniform-in-σ version of
localizedFirstQuenchedEstimate_normalizedProbeJMax.
Crude Γσ estimate for the localized normalized finite-probe maximum.