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Poisson's formula in two dimensions by descent
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , , and let be the weighted ball integral of Spherical means and the weighted ball integral of space-dependent data. Then defines a function on solving ; here the first differentiates the function , which is legitimate by the projection identity, not by termwise differentiation of a singular integrand. Equivalently, for , The extension to the initial time and the attainment of the data are treated later on this page.
Facts & Assumptions
Given: Countable Choice, , , , the weighted ball integral of Spherical means and the weighted ball integral of space-dependent data, and the extension of to .
In three dimensions the Kirchhoff expression is a solution of (Kirchhoff's formula in three dimensions).
For even , for the cylindrical extension , where is the -dimensional spherical mean (Sphere integrals of a cylindrical function project to weighted ball integrals).
for even , with and the unit-ball volume (Spherical means and the weighted ball integral of space-dependent data); in particular, the weight is integrable on by the polar-coordinate integrability statement in that definition.
If measurable functions converge pointwise almost everywhere and are dominated by one nonnegative integrable function, their integrals converge (Dominated convergence).
If is totally differentiable at and at then (The chain rule for total derivatives: ); for an invertible linear with matrix , (A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not); sums and products are differentiated by the usual rules (Sums, scalar multiples, products and quotients: , , , and when ). The required total differentiability follows from continuous coordinate partial derivatives (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
A continuous function on a compact metric space is bounded, and closed Euclidean balls are compact (For , 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).
A real function continuous on a closed interval and differentiable on its interior has a difference quotient equal to a derivative at an interior point (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
Proof
Descent. Extend to on by ; these are respectively . By [F1] the function is on with . Since does not depend on , the sphere means of at centre are independent of ; hence is independent of , so , , and the restriction is a function on with .
The weighted-ball form. By [F2] with and , ; therefore . With , , [F3] reads , so is the displayed Poisson expression; the derivative acts on the function , since by [F2], and the spherical mean is , and not by differentiating a singular integrand.
The integrated equivalent form. For fixed put on and . By [F3], . To differentiate in , fix compact sets and for and . Choose a closed ball containing for , , sufficiently small and . By [F6], . The difference quotients of in , for these parameters and sufficiently small increments , are bounded in absolute value by by [F7]. After multiplication by they are dominated by the locally uniform integrable function . They converge pointwise to , so [F4] gives . The same argument for spatial difference quotients, and dominated convergence applied to convergent parameter sequences with the same compact-set majorant, shows that these first derivatives are continuous locally; in particular is in . Now [F5] gives , hence . The same change of variables gives . Therefore , which is the equivalent form.
Both displays therefore define the same solution of the two-dimensional homogeneous wave equation on ; the limit at and the attainment of the data are the subject of the data-attainment lemma below.
Depends on
- Kirchhoff's formula in three dimensions
- Sphere integrals of a cylindrical function project to weighted ball integrals
- Spherical means and the weighted ball integral of space-dependent data
- Smoothness, parity and zero-radius limits of spherical means
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- Dominated convergence
- 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
- 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 $f(b) - f(a) = f'(c)(b-a)$
- If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
- 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
- Finite speed of propagation does not imply strong Huygens Counterexample
- A two-dimensional interior tail Example
- A two-dimensional pulse has a tail inside the cone Example
- The dimension formulas attain the Cauchy data Lemma
- Two different objects are called Poisson's formula Remark
- Duhamel's principle for the wave equation Theorem
- Sphere-supported versus interior-supported free wave kernels Theorem
- The even-dimensional wave formula by descent Theorem
- Wave tails in one and even spatial dimensions: strong Huygens fails Theorem
Dependency tree · two levels
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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)
- Jared Speck, MIT 18.152 Introduction to Partial Differential Equations, Class Meeting #12: Kirchhoff's Formula and Minkowskian Geometry (Fall 2011) (standard reference, not scraped)