[Math] the gradient of a distribution

distribution-theoryfunctional-analysis

Let $\Omega\subseteq\mathbb R^d$ be open and $\mathcal D(\Omega)$ be the set of $C^\infty(\Omega)$-functions with compact support equipped with a locally convex topology.

Let $\mathcal D(\Omega)'$ be the dual space of $\mathcal D(\Omega)$ and $p\in\mathcal D(\Omega)'$, i.e. $$p:\mathcal D(\Omega)\to\mathbb R$$ is linear and continuous. What is meant by the gradient $\nabla p$ of $p$ as it is been used in the paper A Remark on the Characterization of the Gradient of a Distribution?

Best Answer

It is the (vector) of distributions defined via $$\nabla p : D(\Omega)^n \to \mathbb{R}, \quad \varphi \mapsto -\sum_{i=1}^np(\partial_{x_i} \varphi_i).$$

If $p$ is actually a funcion, the last sum is just $$-\int_\Omega p(x) \, \operatorname{div}(\varphi)(x) \, \mathrm{d}x,$$ and if $p$ is (weakly) differentiable, you have $$-\int_\Omega p(x) \, \operatorname{div}(\varphi)(x) \, \mathrm{d}x = \int_\Omega \nabla p(x) \cdot \varphi(x) \, \mathrm{d}x.$$

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