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Newtonian cancellation and the three-dimensional Holder bound

Statement

Assume Countable Choice. For a set A⊆R3 with at least two points, write [q]α;A:=sup⁡x,y∈A, x≠y∣q(x)−q(y)∣/∣x−y∣α, using absolute value for scalar q and Euclidean array norm for finite-dimensional vector- or tensor-valued q; set [q]α;A:=0 when A has at most one point. For nonempty A, put ∥q∥∞;A:=sup⁡A∣q∣. Globally α-Hölder means continuous on R3 with [g]α;R3<∞; set [g]α:=[g]α;R3, ∥g∥∞:=∥g∥∞;R3, and ∥g∥0,α;R3:=∥g∥∞;R3+[g]α;R3. For an open set V⊆R3, C2,α(V) means that the function has continuous partial derivatives through order 2 on V and [D2q]α;K<∞ for every compact K⊂V; Cloc2,α(R3) means this property on every such V. In derivative-array norms below, ∣Djq∣ is the Euclidean norm of the array of order-j partial derivatives and ∥Djq∥∞;BR:=sup⁡BR∣Djq∣. Let 0<α<1, R>0, and let g:R3→R be globally α-Hölder with support in B2R(0). Put Ng(x)=∫R3g(y)/(4π∣x−y∣) dy. Then Ng∈Cloc2,α(R3), −ΔNg=g, and

∑j=02Rj∥DjNg∥∞;BR+R2+α[D2Ng]α;BR≤CαR2(∥g∥∞+Rα[g]α).

The estimate uses the displayed scaled norms and is uniform in R and g.

Facts & Assumptions

Given: The exponent, radius, datum and potential in the Statement.

[A1]

Countable Choice is retained for the measure and distribution interfaces. The Axiom of Countable Choice (ACω)

[F1]

The positive-minus-Laplacian kernel in dimension three is Φ(z)=1/(4π∣z∣), and Ng=Φ∗g. Fundamental solution for the positive operator minus Laplacian Newtonian potential of compactly supported data

[F2]

Polar integration in dimension three uses r2 dr dσ; the divergence theorem applies on balls and spherical annuli. Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma Divergence on a bounded C1 Euclidean domain

[F3]

An integral with a common integrable derivative majorant can be differentiated. Uniform convergence of functions and their derivatives on coordinate segments identifies the derivatives of the limit. Differentiation under the integral sign If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit

[F4]

The potential of compactly supported integrable data solves −ΔNg=g distributionally; locally integrable functions embed injectively in distributions. Newtonian potentials solve the distributional Poisson equation Locally integrable functions embed in distributions

[F5]

Smooth radial cutoffs between concentric balls exist and their rescalings have derivative bounds of order ε−j. A smooth bump between concentric Euclidean balls

Proof

1.1givenA1F1F2algebra

By scaling it suffices to prove the estimate for R=1. Direct differentiation gives DiΦ(z)=−zi/(4π∣z∣3) and Kij(z)=DijΦ(z)=(3zizj∣z∣−5−δij∣z∣−3)/(4π). Therefore ∣DΦ∣≤C∣z∣−2, ∣K∣≤C∣z∣−3 and ∣DK∣≤C∣z∣−4. The spherical integrals satisfy ∫S2θiθj dσ=4πδij/3 by coordinate reflections, permutations and ∑iθi2=1. The divergence theorem consequently gives zero integral of Kij on every concentric annulus and the correction −δij/3 for the inner-sphere Hessian flux.

2.1A1F1F2F3F5step 1.1constructalgebra

To justify the second derivatives for merely Hölder data, choose from [F5] a smooth radial cutoff χε equal to zero in Bε and one outside B2ε, with derivatives bounded by Cε−j, and put qε=Φχε. For each fixed ε>0, [F3] differentiates qε∗g. On any fixed compact set choose one large containing radius M for all translated supports. Splitting off g(x) inside BM(x) and using the boundary flux from step 1.1 gives Dij(qε∗g)(x)=∫BM(x)Dijqε(x−y)(g(y)−g(x)) dy−δij3g(x). The integral converges uniformly on that compact set to the same expression with Dijqε replaced by Kij: the omitted ball and transition annulus are bounded by Cα[g]αεα, using ∣g(y)−g(x)∣≤[g]α∣x−y∣α and ∫02εrα−1 dr. The potentials and first derivatives likewise converge uniformly, with errors O(ε2∥g∥∞) and O(ε∥g∥∞). Apply [F3] first to the functions and their first derivatives, then to the first and second derivatives on coordinate segments. This proves Ng∈C2 and the absolutely convergent cancellation formula DijNg(x)=∫BM(x)Kij(x−y)(g(y)−g(x)) dy−δij3g(x).

3.1F1F2step 1.1step 2.1algebra

For the Hölder estimate take x≠x′ in a fixed compact box, d=∣x−x′∣, and m=(x+x′)/2. Choose a large ball BM(m) containing the support and both points with a positive margin and M≥2d. The same divergence calculation on this fixed ball writes each Hessian as ∫BM(m)Kij(x−y)(g(y)−g(x)) dy−g(x)b(x), where b(x)=∫∂BM(m)DiΦ(x−y)νj(y) dS(y). Reflection in m and oddness of DiΦ show b(x)=b(x′); its magnitude is bounded by a dimension constant since both poles remain a fixed fraction of M away from the sphere.

4.1A1F2step 1.1step 3.1algebra

Split the difference into Bd(m) and its complement. The near integrals are at most Cα[g]αdα. On the complement, ∣K(x−y)−K(x′−y)∣≤Cd∣y−m∣−4, so the part multiplied by g(y)−g(x) is at most C[g]αd∫dMrα−2 dr≤Cα[g]αdα. The remaining part is (g(x′)−g(x))∫BM(m)∖Bd(m)Kij(x′−y) dy. This kernel integral is bounded uniformly: the divergence theorem expresses it as the difference of two DiΦ boundary fluxes; each sphere stays at least half its radius from the pole and has area proportional to its radius squared. The boundary correction from step 3.1 is also at most C[g]αdα. Hence [D2Ng]α≤Cα[g]α on the box. The convergent far radial integral uses α<1.

5.1F1F2step 2.1step 4.1algebra

For x∈B1, the support is in B3(x). Integrating ∣Φ∣ and ∣DΦ∣ over that ball bounds ∣Ng∣ and ∣DNg∣ by C∥g∥∞. Step 2.1 with M=3 bounds ∣D2Ng∣ by Cα([g]α+∥g∥∞); step 4.1 supplies the seminorm. These are precisely the unit-radius scaled bounds. The identity Ng(Rx)=R2N(g(R⋅))(x) proves the displayed estimate for arbitrary R.

6.1A1F4step 2.1step 5.1algebra∎

By [F4] the distribution of −ΔNg−g vanishes. Step 2.1 makes this difference continuous, so it vanishes everywhere: a nonzero value would persist on a ball of positive measure. Thus −ΔNg=g classically. Empty support and zero data give the zero potential, and all bounds remain valid.

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