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TauCeti.Analysis.Distribution.TemperedDistribution.Deriv

Directional derivatives of tempered distributions #

Mathlib defines the directional derivative of a tempered distribution by duality, (∂_m f) u = f (-∂_m u). Since directional derivatives of Schwartz functions commute (SchwartzMap.lineDerivOp_comm), so do those of tempered distributions. On the plane ℂ the Laplacian of a tempered distribution is then ∂₁² f + ∂₂² f, with ∂₁ and ∂₂ the derivatives along 1 and I, as for Schwartz functions (SchwartzMap.laplacian_eq_lineDerivOp_one_I). These are the identities needed to compute compositions of constant-coefficient first-order operators on tempered distributions. Directional differentiation of the tempered distribution given by a Schwartz function also commutes with a continuous real-linear map applied to its values.

Main results #

Directional derivatives of tempered distributions commute.

The Laplacian on the plane in coordinates: Δ f = ∂₁² f + ∂₂² f for a tempered distribution f on ℂ, where ∂₁ and ∂₂ differentiate along 1 and I.

Directional differentiation of the tempered distribution given by a Schwartz function commutes with a continuous real-linear map applied to the values of the function.