From the coefficient fixed point to actual natural-axis profiles #
This bridge uses ordinary real derivatives of the evaluated functions. The fixed input data must still be supplied as members of the coefficient space; their construction from the outgoing schedule is a separate obligation.
Actual bounded operators on the compatible natural-axis coefficient space #
The numerical bounds come from AxisWeightEstimates. This module additionally
proves compatibility of the output jets, so its operators act on actual smooth
coefficient functions in the complete space, not just unrelated arrays.
Cache the standard NormedAddCommGroup (AxisSpace I ε) instance to shorten typeclass
synthesis.
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Cache the standard NormedSpace ℝ (AxisSpace I ε) instance to shorten typeclass synthesis.
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The finite Leibniz sum for one parameter derivative order.
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- NavierStokes.AxisOperators.leibnizSum f g m = ∑ kl ∈ Finset.antidiagonal m, ↑(m.choose kl.1) * f kl.1 * g kl.2
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Pascal's identity is exactly the derivative recurrence for the Leibniz sum.
Genuine first derivatives of the finite Leibniz sum reproduce the next jet.
Actual compatible input jets, with the indices in coefficient-first order.
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- NavierStokes.AxisOperators.inputJet I ε A n m = NavierStokes.AxisCoefficientSpace.jet I (NavierStokes.AxisWeightEstimates.weight ε) (↑A) n m
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Product jets are finite radial convolutions of the actual Leibniz sums.
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Data for a genuine linear operation on compatible coefficient jets.
- value : ↥(AxisCoefficientSpace.AxisSpace I ε) → ℕ → ℕ → ℝ → ℝ
Value of
BoundedLinearJetFamily, of typeAxisSpace I ε → ℕ → ℕ → ℝ → ℝ. - boundConstant : ℝ
Bound constant of
BoundedLinearJetFamily, of typeℝ. - cont (A : ↥(AxisCoefficientSpace.AxisSpace I ε)) (n m : ℕ) : ContinuousOn (self.value A n m) I.interval
- deriv (A : ↥(AxisCoefficientSpace.AxisSpace I ε)) (n m : ℕ) (x : ℝ) : x ∈ I.interval → HasDerivWithinAt (self.value A n m) (self.value A n (m + 1) x) I.interval x
- bound (A : ↥(AxisCoefficientSpace.AxisSpace I ε)) (n m : ℕ) (x : ℝ) : x ∈ I.interval → |self.value A n m x| ≤ self.boundConstant * ‖A‖ * AxisWeightEstimates.weight ε n m
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Linear value, constructed using ofJetFamily.
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- NavierStokes.AxisOperators.linearValue I hε F A = NavierStokes.AxisCoefficientSpace.ofJetFamily I (NavierStokes.AxisWeightEstimates.weight ε) ⋯ (F.value A) ⋯ ⋯ (F.boundConstant * ‖A‖) ⋯ ⋯
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Linear value map, bundling toFun, map_add, apply, map_smul and the required
compatibility proofs.
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- NavierStokes.AxisOperators.linearValueMap I hε F = { toFun := NavierStokes.AxisOperators.linearValue I hε F, map_add' := ⋯, map_smul' := ⋯ }
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Linear lift, given by (linearValueMap I hε F).mkContinuous F.boundConstant (norm_linearValue_le I hε F).
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Data for a genuine bilinear operation, including its derivative compatibility.
- value : ↥(AxisCoefficientSpace.AxisSpace I ε) → ↥(AxisCoefficientSpace.AxisSpace I ε) → ℕ → ℕ → ℝ → ℝ
Value of
BoundedBilinearJetFamily, of typeAxisSpace I ε → AxisSpace I ε → ℕ → ℕ → ℝ → ℝ. - boundConstant : ℝ
Bound constant of
BoundedBilinearJetFamily, of typeℝ. - cont (A B : ↥(AxisCoefficientSpace.AxisSpace I ε)) (n m : ℕ) : ContinuousOn (self.value A B n m) I.interval
- deriv (A B : ↥(AxisCoefficientSpace.AxisSpace I ε)) (n m : ℕ) (x : ℝ) : x ∈ I.interval → HasDerivWithinAt (self.value A B n m) (self.value A B n (m + 1) x) I.interval x
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Bilinear value, constructed using ofJetFamily.
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Bilinear value map, constructed using LinearMap.mk₂.
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- NavierStokes.AxisOperators.bilinearValueMap I hε F = LinearMap.mk₂ ℝ (NavierStokes.AxisOperators.bilinearValue I hε F) ⋯ ⋯ ⋯ ⋯
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Bilinear lift, given by (bilinearValueMap I hε F).mkContinuous₂ F.boundConstant (norm_bilinearValue_le I hε F).
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Product data, bundling value, boundConstant, bound_nonneg, cont and the required
compatibility proofs.
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Actual continuous bilinear multiplication of coefficient functions.
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A scalar multiple of a shifted coefficient/derivative row. This generic construction is instantiated below with explicit verified weight bounds.
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Primitive scale as an element of ℕ → ℝ | 0 => 0 | n + 1 => 1 / ((n : ℝ) + 1).
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Inverse scale as an element of ℕ → ℝ | 0 => 0 | n + 1 => 1 / radialDivisor r n.
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Multiply Y scale as an element of ℕ → ℝ | 0 => 0 | _ + 1 => 1.
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Average data, given by rowData I hε (fun n => 1 / ((n : ℝ) + 1)) id 0 1 (by norm_num) (average_row_bound hε).
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- NavierStokes.AxisOperators.averageData I hε = NavierStokes.AxisOperators.rowData I hε (fun (n : ℕ) => 1 / (↑n + 1)) id 0 1 NavierStokes.AxisOperators.averageData._proof_1 ⋯
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Primitive data, given by rowData I hε primitiveScale Nat.pred 0 80 (by norm_num) (primitive_row_bound hε).
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Inverse data, given by rowData I hε (inverseScale r) Nat.pred 0 80 (by norm_num) (inverse_row_bound hε hr).
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Parameter primitive data, given by rowData I hε primitiveScale Nat.pred 1 (80 / ε) (by positivity) (parameter_primitive_row_bound hε).
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Multiply Y data, given by rowData I hε multiplyYScale Nat.pred 0 80 (by norm_num) (multiplyY_row_bound hε).
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Average, given by linearLift I hε (averageData I hε).
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Primitive, given by linearLift I hε (primitiveData I hε).
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Regular inverse, given by linearLift I hε (inverseData I hε r hr).
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- NavierStokes.AxisOperators.regularInverse I hε r hr = NavierStokes.AxisOperators.linearLift I hε (NavierStokes.AxisOperators.inverseData I hε r hr)
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Parameter primitive, given by linearLift I hε (parameterPrimitiveData I hε).
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Mul Y, given by linearLift I hε (multiplyYData I hε).
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A radial inverse applied to a finite product with a fixed parameter shift
on the first factor and radial multiplier d on the second.
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- NavierStokes.AxisOperators.differentialFamily I ε r p d A B 0 x✝¹ x✝ = 0
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The mixed estimate is proved with the derivative shift and the radial inverse together; the separate derivative need not be bounded.
Differential data, bundling value, boundConstant, bound_nonneg, cont and the
required compatibility proofs.
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Inverse mixed data, constructed using differentialData.
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- NavierStokes.AxisOperators.inverseMixedData I hε r hr = NavierStokes.AxisOperators.differentialData I hε r 1 hr (fun (j : ℕ) => ↑j) (fun (i : ℕ) => ↑i + 1) (80 / ε) ⋯ ⋯ ⋯ ⋯ ⋯
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Inverse param product data, constructed using differentialData.
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- NavierStokes.AxisOperators.inverseParamProductData I hε r hr = NavierStokes.AxisOperators.differentialData I hε r 1 hr (fun (x : ℕ) => 1) (fun (i : ℕ) => ↑i + 1) (80 / ε) ⋯ ⋯ ⋯ ⋯ ⋯
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Inverse dot product data, constructed using differentialData.
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J_r ((∂η f) D_Y g), formed and estimated without either unbounded
derivative as a standalone operator on the coefficient space.
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J_r ((∂η f) g) with the parameter derivative on the first argument.
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J_r (f D_Y g) with the radial dot on the second argument.
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The nonlinear natural-axis fixed point #
The local bounds below are computed from bounded linear and bilinear operations. In particular, the nonlinear remainders' Lipschitz estimates are conclusions, not assumptions.
The natural-axis resolvent from factorial decay of radial shifts #
The inverse is constructed by a norm-convergent alternating series. No small-operator-norm hypothesis is used. The generic Banach-ring lemmas isolate the analytic implication of the factorial estimate from its radial proof.
Cache the standard NormedAddCommGroup (AxisCoefficientSpace.AxisSpace I ε) instance to
shorten typeclass synthesis.
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Cache the standard NormedSpace ℝ (AxisCoefficientSpace.AxisSpace I ε) instance to shorten
typeclass synthesis.
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A radial inverse has a better norm bound on profiles whose first k
radial coefficients vanish. This is the source of the two factorials.
The alternating series itself, as an element of the ambient Banach ring.
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Iteration through the radial-degree filtration gives a factorial bound for the actual operator powers. No bound less than one is assumed.
Pointwise form of the inverse equation used in the nonlinear fixed-point map.
The inverse gives the unique solution of the integrated linear equation.
Both continuous directions are constructed explicitly from the series.
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Radial order in the actual compatible coefficient space.
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The concrete jet identity for (1/2) J₂ Mχ. This records the operation,
not any inverse or spectral property. It allows the estimate to be applied to
any compatible construction of the two bounded operators.
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The actual weighted radial estimate: any operator with the stated
(1/2) J₂ Mχ coefficients has factorial-decaying powers. The multiplier may
even depend on the radial variable; the natural-axis multiplier is a special case.
The exact bounded operator in the natural angular equation.
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The operator norm has factorial decay with an explicit constant.
The linear resolvent used in the nonlinear natural-axis contraction.
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In particular, the reference angular profile is obtained by applying this
map to the constant coefficient representing 1.
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A function with explicit bounds on a fixed norm ball.
- eval : E → F
Eval of
Controlled, of typeE → F. - bound : ℝ
Bound of
Controlled, of typeℝ. - lip : ℝ
Lip of
Controlled, of typeℝ.
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Const bound, bundling eval, bound, lip, bound_nonneg and the required compatibility
proofs.
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Const, given by constBound a ‖a‖ (norm_nonneg a) le_rfl.
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Fst, bundling eval, bound, lip, bound_nonneg and the required compatibility proofs.
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Snd, bundling eval, bound, lip, bound_nonneg and the required compatibility proofs.
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Add, bundling eval, bound, lip, bound_nonneg and the required compatibility proofs.
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Neg, bundling eval, bound, lip, bound_nonneg and the required compatibility proofs.
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Sub, given by add f (neg g).
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Scaling by a scalar of absolute value at most one keeps the same upper bounds, making the final bounds uniform in the parameter inverse.
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Linear, bundling eval, bound, lip, bound_nonneg and the required compatibility
proofs.
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Bilinear, bundling eval, bound, lip, bound_nonneg and the required compatibility
proofs.
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Pair, bundling eval, bound, lip, bound_nonneg and the required compatibility proofs.
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The complete-subset fixed point step used after constructing, rather than assuming, the remainder's local estimates.
Actual bounded coefficient operators, later instantiated by AxisOperators. The derivative operators occur only after their regular radial inverses.
Product of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Average of
NaturalOperators, of typeV →L[ℝ] V.Primitive of
NaturalOperators, of typeV →L[ℝ] V.Parameter primitive of
NaturalOperators, of typeV →L[ℝ] V.Mul Y of
NaturalOperators, of typeV →L[ℝ] V.J1 of
NaturalOperators, of typeV →L[ℝ] V.J2 of
NaturalOperators, of typeV →L[ℝ] V.Param1 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Param2 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Dot1 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Dot2 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Mixed1 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.Mixed2 of
NaturalOperators, of typeV →L[ℝ] V →L[ℝ] V.
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Fixed analytic coefficient data. In the manuscript all entries have radial degree zero. The normalized gradient is ξ₀/Λ, independent of Λ.
- A : ℝ
A of
AxisData, of typeℝ. - D : ℝ
Domain data of
AxisData, of typeℝ. - h : ℝ
Step-size parameter of
AxisData, of typeℝ. - one : V
- eta : V
- d : V
- inverseL : V
- uStar : V
- uStarEta : V
- wStar : V
- hStar : V
- normalizedGradient : V
- zStar : V
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Angular linear coefficient, given by d.wStar + d.h • d.one - (2 * d.h) • O.product d.eta d.uStar.
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Angular quadratic coefficient, given by O.product d.d d.normalizedGradient.
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Average coefficient, given by (2 * d.D) • d.eta.
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Angular slow coefficient, given by (2 * d.h) • d.eta.
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Axial linear coefficient, given by d.A • d.one - (4 * d.A) • O.product d.eta d.uStar + O.product d.d d.uStarEta.
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Axial quadratic coefficient, given by (2 * d.A) • d.eta.
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The exact expanded, radially integrated nonlinear remainders. The first component also includes the bounded angular resolvent. Here t is Λ⁻¹ and a is φ*/C.
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The reference pair about which the nonlinear iteration is performed.
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Scalar check of the angular grouping used before applying the actual linear radial inverse. No derivative terms are omitted in the expansion.
Scalar check of the axial grouping, including the pressure terms.
Explicit propagation of local bounds through every term in the actual integrated remainders. Its numerical fields do not depend on t or a, only on the uniform upper bound M for the norm of a.
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An explicit expression in the fixed operator norms, coefficient norms, ball radius, and upper bound for the pressure amplitude.
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Remainder lip, given by (controlledRemainder O d S R M hR hM 0 (by simp) 0 (by simpa using hM)).lip.
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- NavierStokes.AxisContraction.remainderLip O d S R M hR hM = (NavierStokes.AxisContraction.controlledRemainder O d S R M hR hM 0 NavierStokes.AxisContraction.remainderBound._proof_1 0 ⋯).lip
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The actual remainder is bounded uniformly in both the small parameter and every normalized angular amplitude with norm at most M.
The local Lipschitz estimate is derived term by term from the actual polynomial operators, including the mixed and pressure terms.
A finite threshold depending only on fixed operator/coefficient data, the reference pair, and the uniform norm bound M. In particular it does not depend on the normalized amplitude a.
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Existence, uniqueness in the reference ball, and an explicit O(Λ⁻¹) norm error for the actual polynomial remainders. The two remainder estimates used here were proved above term by term.
The same threshold works for every admissible a = φ*/C; the normalization hypothesis is a norm bound on the actual coefficient input, not a hypothesis about the nonlinear map's Lipschitz constant.
Undoing the actual angular resolvent turns the fixed point into the two integrated natural equations. The only extra hypothesis is the resolvent identity, independently proved in AxisResolvent.
With the left resolvent identity, the two integrated equations also imply the nonlinear fixed-point equation.
A single coefficient-space norm error controls every angular parameter jet uniformly on the full real parameter interval.
The same uniform control for every axial parameter jet.
The coefficient fixed-point error controls actual mixed derivatives of the evaluated functions, uniformly on every smaller radial interval.
Concrete instantiation by the genuine coefficient product, radial averages/inverses, and derivative composites constructed in AxisOperators.
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The nonlinear map on the actual complete smooth coefficient space has a single threshold valid for all normalized angular data in a fixed norm ball. No remainder bound is supplied as a hypothesis.
Existence of actual smooth coefficient profiles for the natural integrated system, with the constructed angular resolvent and uniform large-Λ estimate. The initial analytic coefficient data remain explicit.
Actual profile equations for the coefficient operators #
The identities here combine the convergent, smooth evaluation of AxisSpace
with the exact compatible coefficient operators of AxisOperators.
Multiplication in the coefficient space evaluates to pointwise multiplication.
Radial value, given by p.1 * mixedSeries I ε A 2 0 p + (r : ℝ) * mixedSeries I ε A 1 0 p.
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- NavierStokes.AxisEvaluationAlgebra.radialValue I ε r A p = p.1 * NavierStokes.AxisEvaluation.mixedSeries I ε A 2 0 p + ↑r * NavierStokes.AxisEvaluation.mixedSeries I ε A 1 0 p
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Coefficient formula for the actual regular radial differential operator.
The regular inverse is a genuine right inverse on evaluated profiles.
The parameter derivative is on the first factor and the radial dot is on the second factor, as required by the manuscript's mixed estimate.
The pressure parameter primitive is the actual parameter derivative of the radial primitive.
The coefficient primitive equals the ordinary oriented integral.
Cache the standard NormedAddCommGroup (AxisCoefficientSpace.AxisSpace I ε) instance to
shorten typeclass synthesis.
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Cache the standard NormedSpace ℝ (AxisCoefficientSpace.AxisSpace I ε) instance to shorten
typeclass synthesis.
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Actual mixed derivative, with the order used by the manuscript's jet bounds.
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- NavierStokes.NaturalAxisBridge.mixedDerivative k m F p = iteratedDeriv m (fun (η : ℝ) => iteratedDeriv k (fun (Y : ℝ) => F (Y, η)) p.1) p.2
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The singular radial differential expression, evaluated without division by Y.
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- NavierStokes.NaturalAxisBridge.radialDifferential r F p = p.1 * iteratedDeriv 2 (fun (Y : ℝ) => F (Y, p.2)) p.1 + ↑r * NavierStokes.NaturalAxisBridge.partialY F p
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The same expression in terms of the rigorously differentiated sums.
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- NavierStokes.NaturalAxisBridge.radialEvaluation I ε r A p = p.1 * NavierStokes.AxisEvaluation.mixedSeries I ε A 2 0 p + ↑r * NavierStokes.AxisEvaluation.mixedSeries I ε A 1 0 p
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Fixed axis data have radial degree zero; parameter dependence remains unrestricted.
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A fixed parameter multiplier commutes with the radial differential expression.
Fixed parameter functions appearing in the scaled natural equations.
- A : ℝ
A of
ParameterData, of typeℝ. - D : ℝ
Domain data of
ParameterData, of typeℝ. - h : ℝ
Step-size parameter of
ParameterData, of typeℝ. Chi of
ParameterData, of typeℝ → ℝ.D of
ParameterData, of typeℝ → ℝ.Inverse L of
ParameterData, of typeℝ → ℝ.U star of
ParameterData, of typeℝ → ℝ.U star eta of
ParameterData, of typeℝ → ℝ.W star of
ParameterData, of typeℝ → ℝ.H star of
ParameterData, of typeℝ → ℝ.Kappa of
ParameterData, of typeℝ → ℝ.Z star of
ParameterData, of typeℝ → ℝ.
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The actual parameter function represented by the zeroth radial coefficient.
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The fixed fields of the integrated system, interpreted as actual functions.
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Fixed analytic input data are independent of the radial coordinate. These hypotheses concern only the given inputs, never the unknown profiles.
- chi_radial : RadiallyConstant I ε χ
- one_radial : RadiallyConstant I ε d.one
- eta_radial : RadiallyConstant I ε d.eta
- d_radial : RadiallyConstant I ε d.d
- inverseL_radial : RadiallyConstant I ε d.inverseL
- uStar_radial : RadiallyConstant I ε d.uStar
- uStarEta_radial : RadiallyConstant I ε d.uStarEta
- wStar_radial : RadiallyConstant I ε d.wStar
- hStar_radial : RadiallyConstant I ε d.hStar
- gradient_radial : RadiallyConstant I ε d.normalizedGradient
- zStar_radial : RadiallyConstant I ε d.zStar
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The pressure source in the complete coefficient space.
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Pressure coefficient, given by AxisOperators.primitive I hε (pressureSource I hε a Φ).
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The actual transport coefficient using the regular radial average.
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The first remainder in equation (17), using ordinary derivatives of
actual functions and κ=ξ₀/Λ.
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The expanded second remainder in equation (17), including all pressure terms and the actual parameter derivative of the pressure correction.
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The target is an equation for actual smooth profiles, together with the regular-average and pressure identities that determine its auxiliary fields.
- phi_smooth : ContDiffOn ℝ (↑⊤) Φ (AxisEvaluation.strip I 20)
- u_smooth : ContDiffOn ℝ (↑⊤) u (AxisEvaluation.strip I 20)
- average_smooth : ContDiffOn ℝ (↑⊤) B (AxisEvaluation.strip I 20)
- pressure_smooth : ContDiffOn ℝ (↑⊤) P (AxisEvaluation.strip I 20)
- angular_equation (p : ℝ × ℝ) : p ∈ AxisEvaluation.strip I 20 → 2 * radialDifferential 2 Φ p = -d.chi p.2 * Φ p + t * angularRemainder d t Φ u B p
- axial_equation (p : ℝ × ℝ) : p ∈ AxisEvaluation.strip I 20 → 2 * radialDifferential 1 u p = -d.inverseL p.2 * d.zStar p.2 + t * axialRemainder d t u B P p
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Differentiating the actual first integrated remainder gives precisely the first scaled differential remainder, including the mixed term.
Differentiating the second integrated remainder gives the complete axial differential remainder, with the actual pressure derivatives.
Both integrated remainders have exactly zero axis value.
The pressure field is the ordinary integral from the axis, rather than merely a formal coefficient primitive.
The integrated coefficient equations give the literal scaled equations for actual smooth functions on the open real strip.
The leading pair defined using the proved angular resolvent.
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The limiting system is stated directly for actual functions.
- phi_smooth : ContDiffOn ℝ (↑⊤) Φ (AxisEvaluation.strip I 20)
- u_smooth : ContDiffOn ℝ (↑⊤) u (AxisEvaluation.strip I 20)
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The profiles used in the error estimate really solve the regular leading equations with the prescribed axis data.
A fixed finite constant computed from the input norms and the genuine
bounded operators. It is independent of Λ and of the amplitude in its norm ball.
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Simultaneous estimates for every ordinary mixed derivative, uniform on each smaller radial interval and on the whole open parameter interval.
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Actual smooth natural-axis profiles exist for every sufficiently large
Λ, uniformly over all radially constant angular amplitudes in a fixed norm
ball. The conclusion is a differential/integral system for real functions,
and its error estimate concerns their ordinary derivatives of every order.