Uniform weighted bounds for actual label sums #
The constants in UniformClass are chosen before the label. The spatial
sum estimates use the actual closed label windows and the existing finite
coloring, rather than the total number of labels in an active finite set.
The finite-jet constants and polynomial degrees are independent of both band and label. The majorant may retain a label-dependent envelope.
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Uniform mean class: an abbreviation for UniformClass s (fun _ _ x => s.zeta x) α f.
Equations
- NavierStokes.LabelSumBounds.UniformMeanClass s α f = NavierStokes.LabelSumBounds.UniformClass s (fun (x : ι) (x_1 : ℕ) (x_2 : D) => s.zeta x_2) α f
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Uniform wave class: an abbreviation for UniformClass s (fun l n x => Real.sqrt (s.zeta x) * P l n x) α f.
Equations
- NavierStokes.LabelSumBounds.UniformWaveClass s P α f = NavierStokes.LabelSumBounds.UniformClass s (fun (l : ι) (n : ℕ) (x : D) => √(s.zeta x) * P l n x) α f
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Pointwise finite-jet Leibniz estimate. The two bounds may be frozen values of variable envelopes at this point.
Closed, enlarged label windows #
Window point: an abbreviation for ℝ × SlotColoring.Position.
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The first coordinate is the logarithmic dyadic coordinate. The
window includes a two-level closed band and the actual two-mesh spatial
box used by SlotColoring.
Equations
- NavierStokes.LabelSumBounds.closedWindow d l = Set.Icc (↑l.1 - 2) (↑l.1 + 2) ×ˢ NavierStokes.SlotColoring.physicalBox d l
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The already constructed coloring remains injective on these closed enlargements. Endpoints do not require a separate exceptional case.
The genuine closed dyadic-mask and slow-mask supports lie inside the enlargement; the inclusion also applies to every derivative support.
A finite active family may have arbitrarily many labels in total.
Only its at-most-2250 locally supported derivatives contribute at x.
The actual band-dependent finite label sum retains its weighted exponent and polynomial degree. The coefficient constant is multiplied by the fixed overlap bound, not by the active set's total cardinality.
Uniform estimates for the actual angular covariance #
Real projection includes the conjugate harmonics. Angular integration is evaluated before taking slow derivatives, so no phase derivative or carrier frequency is paid in this covariance estimate.
Actual finite sums and support-induced covariance diagonality #
Field sum, defined pointwise by ∑ l ∈ labels n, u l n p i.
Equations
- NavierStokes.LabelSumBounds.fieldSum labels u n p i = ∑ l ∈ labels n, u l n p i
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Angular continuous, given by ∀ n x i, Continuous (fun θ : ℝ => u n (x, θ) i).
Equations
- NavierStokes.LabelSumBounds.AngularContinuous u = ∀ (n : ℕ) (x : D) (i : Fin 3), Continuous fun (θ : ℝ) => u n (x, θ) i
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Actual support in a slow-label window and its padded native slot, viewed through one common auxiliary coordinate.
Equations
- One or more equations did not get rendered due to their size.
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Generic covariance adapter. The next theorem supplies the uniform single-label estimates directly from harmonic coefficients.
Uniform coefficients and genuine native-slot support prove the class of the actual covariance of the assembled finite active label sums. Different labels may have different phases and carriers.
Support adapters for the actual native wave construction #
A native covered profile and a supported slow factor give the exact support predicate used above. This also covers derivatives of the slow mask, since their closed supports lie in the same window.
The actual physical mask automatically supplies the slow-window condition for a covered native wave, with arbitrary phase and amplitude.
The signed tail-label convention used by PrimaryFieldAssembly is
injective and has positive levels for every chosen start N ≥ 1.
The full signed covariance remainder, below CorrectionStep #
Symmetric covariance, given by bilinearCovariance u v + bilinearCovariance v u.
Equations
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Definitionally the same five terms used by CorrectionStep.
Equations
- One or more equations did not get rendered due to their size.
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Same carrier data, collecting frequency, phase, angular.
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Add block, given by { a with velocity := fun n i => a.velocity n i + b.velocity n i pressure := fun n => a.pressure n + b.pressure n }.
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- One or more equations did not get rendered due to their size.
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Sub block, given by { a with velocity := fun n i => a.velocity n i - b.velocity n i pressure := fun n => a.pressure n - b.pressure n }.
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- One or more equations did not get rendered due to their size.
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Input coefficient bounds with one witness uniform in all spatial labels. The improved old-minus-primary bound is explicitly retained.
- primary : ι → CorrectionState.HarmonicBlock D
Primary of
SignedFamily, of typeι → HarmonicBlock D. - old : ι → CorrectionState.HarmonicBlock D
Old of
SignedFamily, of typeι → HarmonicBlock D. - tangent : ι → CorrectionState.HarmonicBlock D
Tangent of
SignedFamily, of typeι → HarmonicBlock D. - curl : ι → CorrectionState.HarmonicBlock D
Curl of
SignedFamily, of typeι → HarmonicBlock D. - bandwidth : ℕ
Bandwidth of
SignedFamily, of typeℕ. - primary_band (l : ι) : (self.primary l).BandLimited self.bandwidth
- old_band (l : ι) : (self.old l).BandLimited self.bandwidth
- tangent_band (l : ι) : (self.tangent l).BandLimited self.bandwidth
- curl_band (l : ι) : (self.curl l).BandLimited self.bandwidth
- primary_carrier (l : ι) : SameCarrier (self.old l) (self.primary l)
- tangent_carrier (l : ι) : SameCarrier (self.old l) (self.tangent l)
- curl_carrier (l : ι) : SameCarrier (self.old l) (self.curl l)
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The full signed remainder of the actual assembled fields satisfies the fixed target exponent, uniformly over arbitrary finite active label sets. The local overlap bound is independent of stage and total size.
The actual exact-minus-principal covariance after adding a supported
curl correction. Taking α=1/2 and β=1-κ gives 3/2-κ, with no factor
depending on the total number of active labels.
Joint-index input estimates and native derivative supports #
Joint (band,label) envelope estimates yield the required quantifier
order directly. A uniform polynomial change of slow scale is allowed.
Neither constants nor polynomial degrees are chosen after the label.
Native derivatives stay inside the same closed padded slot, including
entry and exit. Periodizing such a derivative can therefore reuse
PartitionedCovariance.covered_support and the original slot separation.