Coarse-graining support: Support.Besov.Positive.Overlap #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Explicit overlapping positive Besov seminorms #
These definitions implement the scale-local overlapping positive Besov
oscillation and the finite-depth overlapping truncations. The full
infinite-depth wrappers are the manuscript-facing scalar objects under
boundedness/regularity hypotheses, while the unqualified cubeBesov* names
above remain the existing disjoint descendant definitions.
The normalized Lᵖ oscillation about the mean on the overlapping cube attached to S.
Equations
- HCPolySupport.cubeBesovOverlapOscillation S p u = HCPolySupport.ScalarOverlap.cubeLpNorm S p fun (x : HCPolySupport.Vec d) => u x - HCPolySupport.ScalarOverlap.cubeAverage S u
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The average over overlap centers at depth j of Lᵖ oscillations raised to p.toReal.
Equations
- One or more equations did not get rendered due to their size.
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The overlap depth weight, equal to the depth-j side length raised to -s.
Equations
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The p-power mean of overlap oscillations multiplied by the depth weight.
Equations
- HCPolySupport.cubeBesovOverlapDepthSeminorm Q s p u j = HCPolySupport.cubeBesovOverlapDepthWeight Q s j * HCPolySupport.cubeBesovOverlapDepthAverage Q p u j ^ (1 / p.toReal)
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The q-power aggregation of weighted overlap oscillations at depths zero through N.
Equations
- HCPolySupport.cubeBesovOverlapPartialSeminorm Q s p q N u = (∑ j ∈ Finset.range (N + 1), HCPolySupport.cubeBesovOverlapDepthSeminorm Q s p u j ^ q.toReal) ^ (1 / q.toReal)
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The maximum of weighted overlap oscillations at depths zero through N.
Equations
- HCPolySupport.cubeBesovOverlapPartialSeminormTop Q s p N u = (Finset.range (N + 1)).sup' ⋯ fun (j : ℕ) => HCPolySupport.cubeBesovOverlapDepthSeminorm Q s p u j
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The overlapping finite seminorm plus the absolute parent mean weighted by side length to
-s.
Equations
- HCPolySupport.cubeBesovOverlapPartialNorm Q s p q N u = HCPolySupport.cubeBesovOverlapPartialSeminorm Q s p q N u + HCPolySupport.cubeBesovScaleWeight s Q * ‖HCPolySupport.cubeAverage Q u‖
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The overlapping maximum-aggregation seminorm plus the weighted absolute parent mean.