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Spherical means and the weighted ball integral of space-dependent data
Definition
Assume the Axiom of Countable Choice. Let , let be continuous, let be the polar surface measure on (The polar surface set function on the unit sphere) and let , where (Sphere and ball measures scale in Rn). The spherical mean of is the average of over the sphere of centre and radius with respect to the polar measure; this is the mean of Spherical averages and local ball means in Rn with , restricted to continuous data. One sets ; that value is a convention whose consistency as a limit is proved later on this page, not assumed here. The unnormalised sphere integral is For even and put where and is the volume of the unit ball (Sphere and ball measures scale in Rn); for this is the weighted disk integral appearing in the two-dimensional Poisson formula below. The integral defining is absolutely convergent and hence well defined: the weight is integrable over — by translation invariance (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation) and the polar formula its integral is (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma) — while is bounded on the closed ball because that ball is compact (For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact) and a continuous function is bounded on a compact set (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value); the product of an integrable function and a bounded function is Lebesgue integrable. The ball average used on this page is the normalised mean of The average of a locally integrable function over a Euclidean ball, and every sphere or ball integral below is read under the Axiom of Countable Choice of The Axiom of Countable Choice (), which supplies the polar measure and its integrals.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Spherical averages and local ball means in Rn
- The average of a locally integrable function over a Euclidean ball
- The polar surface set function on the unit sphere
- Sphere and ball measures scale in Rn
- A continuous function on $[a,b]$ is Riemann integrable, by Heine-Cantor and Riemann's criterion
- Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
- For $n\ge1$, every Euclidean closed ball and every Euclidean sphere of positive radius is compact
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
Used by
- The constructed classical solutions are locally determined by the Cauchy data Corollary
- Replacing the sphere measure by the ball measure in Kirchhoff's formula Counterexample
- The strong Huygens principle in the homogeneous Cauchy setting Definition
- A point source produces a uniform expanding sphere Example
- A two-dimensional interior tail Example
- Constant initial velocity in three dimensions Example
- Ball means and sphere means are related by a radial derivative Lemma
- Smoothness, parity and zero-radius limits of spherical means Lemma
- Sphere integrals of a cylindrical function project to weighted ball integrals Lemma
- The dimension formulas attain the Cauchy data Lemma
- The Euler–Poisson–Darboux equation for spherical means Lemma
- 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 forced three-dimensional version as a retarded potential Theorem
- The odd-dimensional wave formula by iterated spherical means Theorem
- The strong Huygens principle in odd spatial dimensions Theorem
- Wave tails in one and even spatial dimensions: strong Huygens fails Theorem
Dependency tree · two levels
83 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)
- John K. Hunter, Notes on Partial Differential Equations (revised 18 June 2014, UC Davis) (standard reference, not scraped)