Documentation

Mathlib.Analysis.Distribution.TemperedDistribution

TemperedDistribution #

Main definitions #

Notation #

@[reducible, inline]

The space of tempered distribution is the space of continuous linear maps from the Schwartz to a normed space, equipped with the topology of pointwise convergence.

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    The space of tempered distribution is the space of continuous linear maps from the Schwartz to a normed space, equipped with the topology of pointwise convergence.

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      Embeddings into tempered distributions #

      Every temperate growth measure defines a tempered distribution.

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        A function of temperate growth f defines a tempered distribution via integration, namely g ↦ ∫ (x : E), g x β€’ f x βˆ‚ΞΌ.

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          The canonical embedding of 𝓒(E, F) into 𝓒'(E, F) as a continuous linear map.

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            noncomputable def MeasureTheory.Lp.toTemperedDistribution {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] [CompleteSpace F] [MeasurableSpace E] [BorelSpace E] {ΞΌ : Measure E} [hΞΌ : ΞΌ.HasTemperateGrowth] {p : ENNReal} [hp : Fact (1 ≀ p)] (f : β†₯(Lp F p ΞΌ)) :

            Define a tempered distribution from a L^p function.

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              @[simp]
              theorem MeasureTheory.Lp.toTemperedDistribution_apply {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] [CompleteSpace F] [MeasurableSpace E] [BorelSpace E] {ΞΌ : Measure E} [hΞΌ : ΞΌ.HasTemperateGrowth] {p : ENNReal} [hp : Fact (1 ≀ p)] (f : β†₯(Lp F p ΞΌ)) (g : SchwartzMap E β„‚) :
              (toTemperedDistribution f) g = ∫ (x : E), g x β€’ ↑↑f x βˆ‚ΞΌ
              @[implicit_reducible]
              noncomputable instance MeasureTheory.Lp.instCoeDep {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] [CompleteSpace F] [MeasurableSpace E] [BorelSpace E] {ΞΌ : Measure E} [hΞΌ : ΞΌ.HasTemperateGrowth] {p : ENNReal} [hp : Fact (1 ≀ p)] (f : β†₯(Lp F p ΞΌ)) :
              CoeDep (β†₯(Lp F p ΞΌ)) f (TemperedDistribution E F)
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              noncomputable def MeasureTheory.Lp.toTemperedDistributionCLM {E : Type u_3} (F : Type u_4) [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] [CompleteSpace F] [MeasurableSpace E] [BorelSpace E] (ΞΌ : Measure E := by volume_tac) [ΞΌ.HasTemperateGrowth] (p : ENNReal) [hp : Fact (1 ≀ p)] :

              The natural embedding of L^p into tempered distributions.

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                Scalar multiplication with temperate growth functions #

                Multiplication with a temperate growth function as a continuous linear map on 𝓒'(E, F).

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                  @[simp]
                  theorem TemperedDistribution.smulLeftCLM_smulLeftCLM_apply {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] {g₁ gβ‚‚ : E β†’ β„‚} (hg₁ : Function.HasTemperateGrowth g₁) (hgβ‚‚ : Function.HasTemperateGrowth gβ‚‚) (f : TemperedDistribution E F) :
                  (smulLeftCLM F gβ‚‚) ((smulLeftCLM F g₁) f) = (smulLeftCLM F (g₁ * gβ‚‚)) f
                  theorem TemperedDistribution.smulLeftCLM_compL_smulLeftCLM {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] {g₁ gβ‚‚ : E β†’ β„‚} (hg₁ : Function.HasTemperateGrowth g₁) (hgβ‚‚ : Function.HasTemperateGrowth gβ‚‚) :
                  (smulLeftCLM F gβ‚‚).comp (smulLeftCLM F g₁) = smulLeftCLM F (g₁ * gβ‚‚)
                  theorem TemperedDistribution.smulLeftCLM_add {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] {g₁ gβ‚‚ : E β†’ β„‚} (hg₁ : Function.HasTemperateGrowth g₁) (hgβ‚‚ : Function.HasTemperateGrowth gβ‚‚) :
                  smulLeftCLM F (g₁ + gβ‚‚) = smulLeftCLM F g₁ + smulLeftCLM F gβ‚‚
                  theorem TemperedDistribution.smulLeftCLM_sub {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] {g₁ gβ‚‚ : E β†’ β„‚} (hg₁ : Function.HasTemperateGrowth g₁) (hgβ‚‚ : Function.HasTemperateGrowth gβ‚‚) :
                  smulLeftCLM F (g₁ - gβ‚‚) = smulLeftCLM F g₁ - smulLeftCLM F gβ‚‚
                  theorem TemperedDistribution.smulLeftCLM_sum {ΞΉ : Type u_1} {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] {g : ΞΉ β†’ E β†’ β„‚} {s : Finset ΞΉ} (hg : βˆ€ i ∈ s, Function.HasTemperateGrowth (g i)) :
                  (smulLeftCLM F fun (x : E) => βˆ‘ i ∈ s, g i x) = βˆ‘ i ∈ s, smulLeftCLM F (g i)
                  theorem MeasureTheory.Lp.toTemperedDistribution_smul_eq {E : Type u_3} {F : Type u_4} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace β„‚ F] [MeasurableSpace E] [BorelSpace E] {ΞΌ : Measure E} [hΞΌ : ΞΌ.HasTemperateGrowth] [CompleteSpace F] {p q r : ENNReal} [p.HolderTriple q r] [Fact (1 ≀ q)] [Fact (1 ≀ r)] {g : E β†’ β„‚} (hg₁ : Function.HasTemperateGrowth g) (hgβ‚‚ : MemLp g p ΞΌ) (f : β†₯(Lp F q ΞΌ)) :

                  Coercion of the product of two Lp functions to a tempered distribution is equal to the left multiplication if the left factor is a function of temperate growth.

                  Derivatives #

                  The 1-dimensional derivative on tempered distribution as a continuous β„‚-linear map.

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                    @[implicit_reducible]

                    The partial derivative (or directional derivative) in the direction m : E as a continuous linear map on tempered distributions.

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                    Laplacian #

                    Fourier transform #

                    @[deprecated FourierTransform.fourierCLM (since := "2026-01-06")]

                    Alias of FourierTransform.fourierCLM.

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                      @[deprecated FourierTransform.fourierCLM_apply (since := "2026-01-06")]

                      Alias of FourierTransform.fourierCLM_apply.

                      @[deprecated FourierTransform.fourierInvCLM (since := "2026-01-06")]

                      Alias of FourierTransform.fourierInvCLM.

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                        @[deprecated FourierTransform.fourierInvCLM_apply (since := "2026-01-06")]

                        Alias of FourierTransform.fourierInvCLM_apply.

                        @[deprecated TemperedDistribution.fourier_toTemperedDistributionCLM_eq (since := "2026-01-14")]

                        Alias of TemperedDistribution.fourier_toTemperedDistributionCLM_eq.


                        The distributional Fourier transform and the classical Fourier transform coincide on 𝓒(E, F).

                        @[deprecated TemperedDistribution.fourierInv_toTemperedDistributionCLM_eq (since := "2026-01-14")]

                        Alias of TemperedDistribution.fourierInv_toTemperedDistributionCLM_eq.


                        The distributional inverse Fourier transform and the classical inverse Fourier transform coincide on 𝓒(E, F).

                        The Dirac delta distribution

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                          @[deprecated TemperedDistribution.delta (since := "2025-12-23")]

                          Alias of TemperedDistribution.delta.


                          The Dirac delta distribution

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                            @[simp]
                            @[deprecated TemperedDistribution.delta_apply (since := "2025-12-23")]

                            Alias of TemperedDistribution.delta_apply.

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                            Dirac measure considered as a tempered distribution is the delta distribution.

                            @[deprecated TemperedDistribution.toTemperedDistribution_dirac_eq_delta (since := "2025-12-23")]

                            Alias of TemperedDistribution.toTemperedDistribution_dirac_eq_delta.


                            Dirac measure considered as a tempered distribution is the delta distribution.

                            The Fourier transform of the delta distribution is equal to the volume.

                            Informally, this is usually represented as 𝓕 Ξ΄ = 1.