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Atlas.DifferentialAnalysis.code.ConvolutionSmooth

@[reducible, inline]

The complex multiplication bilinear map ℂ × ℂ → ℂ viewed as an -bilinear continuous map; used as the bilinear pairing for convolutions in this file.

Instances For

    The convolution v ⋆ ψ of a C₀ function v (continuous, vanishing at infinity) with a Schwartz function ψ, as a function on Euclidean space.

    Instances For

      The convolution of a bounded continuous function v with a Schwartz function ψ, using a bilinear pairing L, is differentiable, and its Fréchet derivative is the convolution of v with the derivative fderiv ψ. Step toward Melrose's Prop. 8.1.

      The convolution of a bounded continuous function v with a Schwartz function ψ, using a bilinear pairing L, is Cᵏ for every k : ℕ. Iterates the FDeriv lemma.

      The convolution of a C₀ function v with a Schwartz function ψ is Cᵏ for every k : ℕ. Specialisation of contDiff_convolution_bdd_schwartz to mulBilin.

      Translation x ↦ x - t is a proper map on a finite-dimensional normed space, so it pushes the cocompact filter to itself.

      The cocompact filter on EuclideanSpace ℝ (Fin d) is countably generated, with a basis of complements of closed balls of integer radii.

      If a bounded continuous function v vanishes at infinity, then its convolution with a Schwartz function ψ (via a bilinear pairing L) vanishes at infinity.

      Every iterated Fréchet derivative of the convolution v ⋆ ψ (for v bounded continuous, vanishing at infinity, and ψ Schwartz) tends to zero at infinity.

      Every iterated derivative of the convolution v ⋆ ψ of a C₀ function v with a Schwartz function ψ tends to zero at infinity.