The actual smooth torus inverse with an external real parameter #
The coefficients are the integrals of the given function. Local uniform decay is obtained from genuine derivatives on compact parameter intervals.
Point: an abbreviation for ℝ × Plane.
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Slice, defined pointwise by f (p, Y).
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- NavierStokes.ParametricTorusInverse.slice f p Y = f (p, Y)
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Periodic, given by ∀ p, SmoothFourierData.UnitPeriodic (slice f p).
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Parameter jet, given by parameterPartial^[n] f.
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Torus X jet as an element of ℕ → Source → Source | 0, f => f | n + 1, f => torusXPartial (torusXJet n f).
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Swap torus, defined pointwise by f (z.1, (z.2.2, z.2.1)).
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Coefficient, given by SmoothFourierData.coefficient (slice f p) k.
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Inverse, given by directionalInverse d (coefficient f z.1) z.2.
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Iterate inverse, given by (inverse d)^[n] f.
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Weighted source, given by SmoothFourierData.kernel k (q.2, q.1.2) * f (q.1.1, (q.2, q.1.2)).
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Uniform polynomial decay on any fixed compact parameter interval, derived from bounds for actual torus derivatives.
Polynomial growth, given by ∃ s : ℕ, ∃ C : ℝ, 0 ≤ C ∧ ∀ k, ‖m k‖ ≤ C * weight k ^ s.
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- NavierStokes.ParametricTorusInverse.PolynomialGrowth m = ∃ (s : ℕ) (C : ℝ), 0 ≤ C ∧ ∀ (k : NavierStokes.TorusInverse.Frequency), ‖m k‖ ≤ C * NavierStokes.TorusInverse.weight k ^ s
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Multiplier X, given by freqX k * m k.
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Multiplier Y, given by freqY k * m k.
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Apply multiplier, given by series (fun k => m k * coefficient f z.1 k) z.2.
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- One or more equations did not get rendered due to their size.
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Joint DX, given by TorusInverse.dx.comp (ContinuousLinearMap.snd ℝ ℝ Plane).
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Joint DY, given by TorusInverse.dy.comp (ContinuousLinearMap.snd ℝ ℝ Plane).
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Multiplier term derivative, constructed using jointLiftP.
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- One or more equations did not get rendered due to their size.
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Joint smoothness is derived from actual locally uniform Fourier differentiation, allowing arbitrary polynomially growing multipliers.
The inverse has zero mean even if the input has a nonzero constant mode.
Directional partial, given by fderiv ℝ f z (0, vector d).
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Exact inversion for the given function, with the derivative taken in the joint parameter--torus space.
All actual derivatives in the external parameter commute with inversion.
A genuine mixed coordinate jet: first actual parameter derivatives, then the indicated word of actual torus-coordinate derivatives.
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- One or more equations did not get rendered due to their size.
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Mixed loss constant, given by ((6 * ‖omega⁻¹‖) * ‖omega‖ ^ r) * 3 ^ (r + 5) * ∑' k : Frequency, (weight k ^ 4)⁻¹.
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- One or more equations did not get rendered due to their size.
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Uniform finite loss: a mixed output jet with r torus derivatives requires only r+5 pure torus derivatives of the same parameter jet of the input. The constant is independent of the parameter set and the function.