Actual profile normalization of continuous time paths #
A positive scalar time profile gives inverse bounded linear scaling maps. The norm of a normalized path is bounded directly by its profile estimate; no quotient of the maximum and minimum profile enters that estimate.
Multiplication by the literal scalar profile.
Equations
- EulerContinuousTimeWeight.weight g = EulerContinuousTimeIntegral.multiplier { toFun := fun (t : K) => g t • ContinuousLinearMap.id ℝ E, continuous_toFun := ⋯ }
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The reciprocal of a positive continuous profile is an actual continuous path.
Equations
- EulerContinuousTimeWeight.reciprocal g hg = { toFun := fun (t : K) => (g t)⁻¹, continuous_toFun := ⋯ }
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Profile division as a genuine bounded linear map.
Equations
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Weighting and normalization are actual inverse operators.
Normalization and weighting are inverse in the other order too.
Literal pointwise control of a weighted path, with no profile extremum.
A pointwise profile bound gives the normalized uniform norm directly.
Scalar normalization commutes with every coefficient multiplier.
Scalar weighting commutes with every coefficient multiplier.