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Newtonian cancellation and the three-dimensional Holder bound
Statement
Assume Countable Choice. For a set with at least two points, write , using absolute value for scalar and Euclidean array norm for finite-dimensional vector- or tensor-valued ; set when has at most one point. For nonempty , put . Globally -Hölder means continuous on with ; set , , and . For an open set , means that the function has continuous partial derivatives through order on and for every compact ; means this property on every such . In derivative-array norms below, is the Euclidean norm of the array of order- partial derivatives and . Let , , and let be globally -Hölder with support in . Put . Then , , and
The estimate uses the displayed scaled norms and is uniform in and .
Statement references
Facts & Assumptions
Given: The exponent, radius, datum and potential in the Statement.
Countable Choice is retained for the measure and distribution interfaces. The Axiom of Countable Choice ()
The positive-minus-Laplacian kernel in dimension three is , and . Fundamental solution for the positive operator minus Laplacian Newtonian potential of compactly supported data
Polar integration in dimension three uses ; 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
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
The potential of compactly supported integrable data solves distributionally; locally integrable functions embed injectively in distributions. Newtonian potentials solve the distributional Poisson equation Locally integrable functions embed in distributions
Smooth radial cutoffs between concentric balls exist and their rescalings have derivative bounds of order . A smooth bump between concentric Euclidean balls
Proof
By scaling it suffices to prove the estimate for . Direct differentiation gives and . Therefore , and . The spherical integrals satisfy by coordinate reflections, permutations and . The divergence theorem consequently gives zero integral of on every concentric annulus and the correction for the inner-sphere Hessian flux.
To justify the second derivatives for merely Hölder data, choose from [F5] a smooth radial cutoff equal to zero in and one outside , with derivatives bounded by , and put . For each fixed , [F3] differentiates . On any fixed compact set choose one large containing radius for all translated supports. Splitting off inside and using the boundary flux from step 1.1 gives The integral converges uniformly on that compact set to the same expression with replaced by : the omitted ball and transition annulus are bounded by , using and . The potentials and first derivatives likewise converge uniformly, with errors and . Apply [F3] first to the functions and their first derivatives, then to the first and second derivatives on coordinate segments. This proves and the absolutely convergent cancellation formula
For the Hölder estimate take in a fixed compact box, , and . Choose a large ball containing the support and both points with a positive margin and . The same divergence calculation on this fixed ball writes each Hessian as , where . Reflection in and oddness of show ; its magnitude is bounded by a dimension constant since both poles remain a fixed fraction of away from the sphere.
Split the difference into and its complement. The near integrals are at most . On the complement, , so the part multiplied by is at most . The remaining part is . This kernel integral is bounded uniformly: the divergence theorem expresses it as the difference of two 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 . Hence on the box. The convergent far radial integral uses .
For , the support is in . Integrating and over that ball bounds and by . Step 2.1 with bounds by ; step 4.1 supplies the seminorm. These are precisely the unit-radius scaled bounds. The identity proves the displayed estimate for arbitrary .
By [F4] the distribution of vanishes. Step 2.1 makes this difference continuous, so it vanishes everywhere: a nonzero value would persist on a ball of positive measure. Thus classically. Empty support and zero data give the zero potential, and all bounds remain valid.
Depends on
Newtonian potential of compactly supported data
Fundamental solution for the positive operator minus Laplacian
Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
Divergence on a bounded C1 Euclidean domain
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
Newtonian potentials solve the distributional Poisson equation
Locally integrable functions embed in distributions
The Axiom of Countable Choice ()
A smooth bump between concentric Euclidean balls