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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 n≥1, k≥1 and f∈Ck(Rn), and let Mf be the spherical mean with the convention Mf(x,0):=f(x). Then: (i) (x,r)↦Mf(x,r) is Ck on Rn×(0,∞), and every derivative is obtained by differentiating f under the sphere integral: for every multi-index α and every m≥0 with ∣α∣+m≤k, Dxα∂rmMf(x,r)=1ωn−1∫Sn−1Dxα∂rm[f(x+rω)] dσ(ω)(x∈Rn, r>0), where ∂rm[f(x+rω)] is the m-th r-derivative of the composed function r↦f(x+rω). (ii) Mf extends to a continuous function on Rn×[0,∞) with Mf(x,0)=f(x), and ∂rMf(x,r)→0 as r↓0, uniformly for x in compact subsets of Rn. (iii) The signed-radius integral ωn−1−1∫Sn−1f(x+rω) dσ(ω) for r∈R is an even Ck extension of Mf to Rn×R. Its differentiated-integral formula holds also at r=0; in particular every available odd-order radial derivative vanishes there. (iv) ∣∂rMf(x,r)∣≤sup⁡Br(x)∣Df∣ for every x∈Rn and r>0.

Facts & Assumptions

Given: Countable Choice, n≥1, k≥1, f∈Ck(Rn), and the spherical mean Mf with Mf(x,0):=f(x).

[F1]

The spherical mean is integration against the finite measure σ/ωn−1 of total mass one (Spherical means and the weighted ball integral of space-dependent data).

[F4]

Under Countable Choice reflection ω↦−ω preserves the polar measure, and its first moment vanishes: ∫Sn−1ω dσ(ω)=0 (Reflection invariance and vanishing first moment of the sphere measure).

Proof

1.1F1F2F3algebra

Differentiation, including signed radii. Put H(x,r):=ωn−1−1∫Sn−1f(x+rω) dσ(ω) for all real r. On a bounded parameter neighbourhood, all points x+rω lie in a fixed compact ball. For a coordinate parameter p and a continuous derivative integrand q(p,ω) with continuous ∂pq, [F2] gives ∣(q(p+h,ω)−q(p,ω))/h−∂pq(p,ω)∣≤sup⁡∣s−p∣≤∣h∣,ω∣∂pq(s,ω)−∂pq(p,ω)∣. Uniform continuity on the compact ball makes this bound tend to zero uniformly in ω; integration against the probability measure [F1] preserves the bound. Iterating through total order k therefore gives every stated derivative under the integral, with continuity again following from the same uniform estimate. This works for n=1 as well, since it requires only a finite measure, not positive-dimensional surface charts.

1.2F3algebra

Part (ii), continuity at r=0. Let K⊆Rn be compact and choose R>0 with K⊆BR(0); the ball BR+1(0)‾ is compact, so by [F3] f is bounded there and uniformly continuous on it. Given ε>0 choose δ∈(0,1) such that ∣f(u)−f(v)∣<ε whenever u,v∈BR+1(0)‾ and ∣u−v∣<δ. For x∈K, 0≤r<δ and ω∈Sn−1 one has x+rω∈BR+1(0)‾ and ∣x+rω−x∣=r<δ, so ∣Mf(x,r)−f(x)∣≤sup⁡ω∣f(x+rω)−f(x)∣<ε. Hence Mf(x,r)→f(x) as r↓0 uniformly on compact subsets, and the extension by Mf(⋅,0)=f is continuous because f is.

1.3F3F4algebra

Part (ii), the derivative limit. By part (i) with ∣α∣=0, m=1, ∂rMf(x,r)=ωn−1−1∫Sn−1Df(x+rω)⋅ω dσ(ω) for r>0, so adding and subtracting Df(x) inside the integral gives ∂rMf(x,r)=ωn−1−1∫Sn−1[Df(x+rω)−Df(x)]⋅ω dσ(ω)+ωn−1−1Df(x)⋅∫Sn−1ω dσ(ω), where the second term vanishes by [F4]; the first is bounded by sup⁡ω∈Sn−1∣Df(x+rω)−Df(x)∣, which tends to 0 as r↓0 uniformly for x in a fixed compact set by uniform continuity of the continuous function Df on a large compact ball, again by [F3]. Hence ∂rMf(x,r)→0 uniformly on compact subsets of Rn.

2.1F1F3F4step 1.1algebra

Parity and the bound. Reflection preserves σ by [F4], hence the substitution ω↦−ω gives H(x,−r)=H(x,r). Since H is Ck by step 1.1, its odd-order radial derivatives at zero vanish whenever their orders are at most k. For (iv), ∣∂rMf(x,r)∣≤ωn−1−1∫∣Df(x+rω)∣ dσ(ω). By continuity, each boundary value of ∣Df∣ is at most sup⁡Br(x)∣Df∣, and integration gives the stated bound.

3.1step 1.1step 1.2step 1.3step 2.1∎

Thus Mf has the differentiated-integral formula, the stated uniform zero-radius limits and gradient bound, and an even Ck signed-radius extension.

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