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Newtonian potential of smooth compact data is smooth and solves the Poisson equation pointwise

Statement

Assume Countable Choice (ACω), with the exact meaning of The Axiom of Countable Choice (ACω). Let ε0>0 be any scalar parameter and let f∈Cc∞(R3;R) and let

Nf(x)=∫R3f(y)4π∣x−y∣ dy.

Then Nf∈C∞(R3), −ΔNf=f pointwise, and for every multi-index α the spatial derivative satisfies DαNf=N(Dαf). In particular, for smooth compactly supported ρ the field E=−ε0−1∇Nρ is smooth. The statement is about the explicit integral transform of compactly supported smooth data and does not assume smoothness of the kernel at the pole; the distributional identity −ΔNf=f is the one supplied by the Newtonian-potential theorem (Newtonian potentials solve the distributional Poisson equation), upgraded here from a distributional to a pointwise identity for smooth data.

Facts & Assumptions

Given: A constant ε0>0 and a function f∈Cc∞(R3;R); the function Φ(z)=1/(4π∣z∣) for z≠0, whose point value at 0 is arbitrary and whose class is the Newtonian kernel of Newtonian potential of compactly supported data and Newtonian potentials solve the distributional Poisson equation.

[L1]

Newtonian potential. Assume ACω (The Axiom of Countable Choice (ACω)). For compactly supported f∈L1(R3), the potential Nf of Newtonian potential of compactly supported data depends only on the L1 class, is finite a.e. and locally integrable, and its regular distribution satisfies −ΔTNf=Tf in D′(R3) (Newtonian potentials solve the distributional Poisson equation).

[L2]

Differentiation under the integral sign. Let X be a measure space, I⊆R an open interval, and h:X×I→C such that for each t the section x↦h(x,t) is integrable, for almost every x the map t↦h(x,t) is differentiable on I, the extended derivative is measurable in x, and ∣∂th(x,t)∣≤g(x) a.e. with g integrable. Then H(t)=∫h(x,t) dμ(x) is differentiable with H′(t)=∫∂th(x,t) dμ(x) (Differentiation under the integral sign).

[L3]

Distributional versus classical derivatives. If u∈Ck(Ω;C) and ∣α∣≤k, then the distributional derivative of the regular distribution Tu is the regular distribution of the classical derivative (Distributional differentiation is continuous and commutes).

[L4]

Bumps and positive measure. For 0<r<R there is ρ∈Cc∞(R3) with 0≤ρ≤1, ρ=1 on B‾r(0) and supp⁡ρ⊆BR(0) (A smooth bump between concentric Euclidean balls). Under ACω, Lebesgue measure is the positive-density measure of density 1, so every nonempty open subset of R3 has positive measure (Positive open-set and metric-ball volume).

[L5]

Fundamental lemma. If g∈Lloc1(Ω) satisfies ∫gφ=0 for every test function φ∈Cc∞(Ω), then g=0 almost everywhere (The fundamental lemma of the calculus of variations).

Proof

1.1L1algebra

Substituting z=x−y gives Nf(x)=∫R3Φ(z)f(x−z) dz, an absolutely convergent integral for every x: f is bounded with support in some closed ball B‾R(0), so the integrand is supported in x−B‾R(0) and bounded there by ∥f∥∞∣Φ(z)∣ with Φ∈Lloc1(R3). The same substitution exhibits Nf as the Newtonian potential of [L1], so the distributional identity −ΔTNf=Tf of [L1] holds.

2.1step 1.1L2algebra

Fix a multi-index α=(α1,α2,α3) and a point x, and let K⊆R3 be a compact set containing x in its interior. For z in the fixed compact set K−supp⁡f and x′∈K, the function z↦Φ(z)Dαf(x′−z) is bounded by ∥Dαf∥∞∣Φ(z)∣, integrable on that compact set, and z↦Φ(z)Dα+ejf(x′−z) likewise; moreover Dαf is uniformly continuous on the compact set K−supp⁡f shifted appropriately. Applying the differentiation-under-the-integral-sign theorem [L2] successively in the three coordinates (the parameter being one coordinate of x and the measure space R3 with the dominated bounds above) gives DαNf(x)=∫Φ(z)Dαf(x−z) dz=N(Dαf)(x) at every x, and the resulting function is continuous in x because the bound ∥Dαf(x−z)−Dαf(x′−z)∥∞∣Φ(z)∣ on the compact z-set is uniform in x,x′ near x and tends to 0. Hence Nf has continuous derivatives of every order, so Nf∈C∞(R3), and the identity DαNf=N(Dαf) holds for every multi-index α; in particular the classical Laplacian ΔNf=∑j=13N(∂j2f) is a continuous function, and it is the classical Laplacian of the smooth function Nf.

3.1step 1.1step 2.1L3L4L5

By [L3] the distributional Laplacian of the smooth function Nf is the regular distribution of the classical Laplacian, so the identity −ΔTNf=Tf of step 1.1 says that ∫R3(f(y)+ΔNf(y))φ(y) dy=0 for every test function φ. The function g:=f+ΔNf is continuous by step 2.1, so it is locally integrable and the fundamental lemma [L5] gives g=0 almost everywhere. A continuous function vanishing almost everywhere vanishes everywhere: if g(x0)≠0, continuity gives r>0 with ∣g∣>∣g(x0)∣/2>0 on the nonempty open ball Br(x0), which has positive Lebesgue measure by [L4], contradicting g=0 a.e.; hence g(x0)=0 for every x0. Therefore −ΔNf=f pointwise on R3.

4.1step 2.1step 3.1L1L4∎

For smooth compactly supported ρ, the derivative identity of step 2.1 with α=ej shows that ∇Nρ is a smooth field, and E=−ε0−1∇Nρ is smooth because ε0−1 is a constant. Countable Choice is inherited from the exact statement of the Newtonian-potential theorem [L1] and from the positive-density-measure corollary [L4]; the differentiation and upgrade arguments use no further choice. This proves the smoothness of Nf, the pointwise Poisson identity and the derivative identity DαNf=N(Dαf), and hence the smoothness of E.

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