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Smoothness, parity and zero-radius limits of spherical means
Statement
Assume the Axiom of Countable Choice of Spherical means and the weighted ball integral of space-dependent data. Let , and , and let be the spherical mean with the convention . Then: (i) is on , and every derivative is obtained by differentiating under the sphere integral: for every multi-index and every with , where is the -th -derivative of the composed function . (ii) extends to a continuous function on with , and as , uniformly for in compact subsets of . (iii) The signed-radius integral for is an even extension of to . Its differentiated-integral formula holds also at ; in particular every available odd-order radial derivative vanishes there. (iv) for every and .
Facts & Assumptions
Given: Countable Choice, , , , and the spherical mean with .
The spherical mean is integration against the finite measure of total mass one (Spherical means and the weighted ball integral of space-dependent data).
The mean value theorem bounds a difference quotient by the corresponding derivative on its segment (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ). Continuous partial derivatives imply total differentiability (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative), so the chain rule applies to data composed with affine maps (The chain rule for total derivatives: ).
A continuous map from a compact metric space to a metric space is uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous); Euclidean closed balls are compact (For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact, in the sense of Open cover, subcover, compact metric space, and compact subset of a metric space); a continuous real function on a nonempty compact metric space is bounded and attains its bounds (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Under Countable Choice reflection preserves the polar measure, and its first moment vanishes: (Reflection invariance and vanishing first moment of the sphere measure).
Proof
Differentiation, including signed radii. Put for all real . On a bounded parameter neighbourhood, all points lie in a fixed compact ball. For a coordinate parameter and a continuous derivative integrand with continuous , [F2] gives . Uniform continuity on the compact ball makes this bound tend to zero uniformly in ; integration against the probability measure [F1] preserves the bound. Iterating through total order therefore gives every stated derivative under the integral, with continuity again following from the same uniform estimate. This works for as well, since it requires only a finite measure, not positive-dimensional surface charts.
Part (ii), continuity at . Let be compact and choose with ; the ball is compact, so by [F3] is bounded there and uniformly continuous on it. Given choose such that whenever and . For , and one has and , so . Hence as uniformly on compact subsets, and the extension by is continuous because is.
Part (ii), the derivative limit. By part (i) with , , for , so adding and subtracting inside the integral gives , where the second term vanishes by [F4]; the first is bounded by , which tends to as uniformly for in a fixed compact set by uniform continuity of the continuous function on a large compact ball, again by [F3]. Hence uniformly on compact subsets of .
Parity and the bound. Reflection preserves by [F4], hence the substitution gives . Since is by step 1.1, its odd-order radial derivatives at zero vanish whenever their orders are at most . For (iv), . By continuity, each boundary value of is at most , and integration gives the stated bound.
Thus has the differentiated-integral formula, the stated uniform zero-radius limits and gradient bound, and an even signed-radius extension.
Depends on
- Spherical means and the weighted ball integral of space-dependent data
- Reflection invariance and vanishing first moment of the sphere measure
- Surface integration on compact C1 hypersurfaces
- Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- Open cover, subcover, compact metric space, and compact subset of a metric space
- For $n\ge1$, every Euclidean closed ball and every Euclidean sphere of positive radius is compact
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
Used by
- The constructed classical solutions are locally determined by the Cauchy data Corollary
- The dimension formulas attain the Cauchy data Lemma
- The Euler–Poisson–Darboux equation for spherical means Lemma
- Duhamel's principle for the wave equation Theorem
- Kirchhoff's formula in three dimensions Theorem
- Poisson's formula in two dimensions by descent Theorem
- Sphere-supported versus interior-supported free wave kernels Theorem
- The even-dimensional wave formula by descent Theorem
- The odd-dimensional wave formula by iterated spherical means Theorem
- The strong Huygens principle in odd spatial dimensions Theorem
Dependency tree · two levels
70 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript, AMS Graduate Studies in Mathematics) (standard reference, not scraped)
- Victor Ivrii, Partial Differential Equations (University of Toronto, 2018, CC BY-SA) (standard reference, not scraped)