The weight ↔ measure isometry L²(w·μ) ≃ₗᵢ L²(μ) #
For an almost-everywhere-positive real weight w on an arbitrary measurable space, multiplication
by √w is a linear isometric equivalence from the weighted L² space L²(w·μ) onto L²(μ), where
w·μ := μ.withDensity (ENNReal.ofReal ∘ w). It is an equivalence precisely because w > 0
almost everywhere: the inverse is multiplication by (√w)⁻¹.
This is the Part 0 primitive weightL2Isometry from the OrthogonalL2Bases roadmap, the single
map converting a weight-in-the-measure normalization to a weight-in-the-function normalization. Once
combined with HilbertBasis.mapₗᵢ (transport of a Hilbert basis across a ≃ₗᵢ, already in
TauCeti.Analysis.InnerProductSpace.HilbertBasis.Map), it moves an orthogonal-polynomial basis of a
weighted measure to the √w-envelope basis of the reference measure and back.
The construction is purely measure-theoretic, so it is stated over an arbitrary MeasurableSpace;
only the later polynomial-facing layers specialize to Measure ℝ.
Main definitions #
TauCeti.weightL2Isometry— the isometric equivalenceL²(w·μ) ≃ₗᵢ[𝕜] L²(μ).
Main statements #
TauCeti.weightL2Isometry_apply— the forward map is multiplication by√w.TauCeti.weightL2Isometry_symm_apply— the inverse map is multiplication by(√w)⁻¹.
The file also provides the underlying L² seminorm identity: the L²(μ) seminorm of √w · g
equals the L²(w·μ) seminorm of g.
The weight ↔ measure isometry. For an almost-everywhere-positive weight w, multiplication
by √w is a linear isometric equivalence L²(w·μ) ≃ₗᵢ[𝕜] L²(μ).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The forward isometry is multiplication by √w.
The inverse isometry is multiplication by (√w)⁻¹.