Integral Representations of solutions to Poisson Equations
Aye Chan May, Adisak Seesanea
TL;DR
The paper develops a constructive framework for integral representations of Poisson equation solutions in $\mathbb{R}^n$ by convolving the data $f$ with the Newtonian fundamental solution $E_n$. It proves well-definedness, continuity, and higher-order differentiability of the potential $u$ under precise integrability (and in some cases differentiability) conditions on $f$, establishing explicit derivative formulas such as $\partial_{i}u(x)=\int_{\mathbb{R}^n}\partial_{i}E_n(x-y)f(y)\,dy$ and $\partial_{i}\partial_{j}u(x)=\int_{\mathbb{R}^n}\partial_{j}E_n(x-y)\partial_{i}f(y)\,dy$, with $\Delta u=f$. It further extends these results to Lorentz-space data to obtain existence and uniqueness of bounded solutions to the Poisson problem, and discusses generalizations to positive homogeneous kernels. These results provide robust, constructive criteria for when Newtonian potentials yield regular solutions to Poisson equations, including unbounded domains and low-regularity data.
Abstract
We give a constructive approach for the study of integral representations of classical solutions to Poisson equations under some integrability conditions on data functions.
