Multiplication of Distribution induced by Locally Integrable Function by Smooth Function
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Theorem
Let $f \in \map {L^1_{loc} } {\R^d}$ be a locally integrable function.
Let $\alpha \in \map {C^\infty} {\R^d}$ be a smooth function.
Let $T_f \in \map {\DD'} {\R^d}$ be a distribution induced by $f$.
Then in the distributional sense it holds that:
- $\alpha T_f = T_{\alpha f}$
Proof
Let $\Omega \subseteq \R^d$ be a compact subset.
Then for all $\mathbf x \in \Omega$ we have that $\map \alpha {\mathbf x}$ is bounded.
Hence, $\alpha f$ is locally integrable.
Let $\phi \in \map \DD {\R^d}$ be a test function.
Then:
\(\ds \alpha \map {T_f} \phi\) | \(=\) | \(\ds \map {T_f} {\alpha \phi}\) | Definition of Multiplication of Distribution by Smooth Function | |||||||||||
\(\ds \) | \(=\) | \(\ds \int_{\R^d} \map f {\mathbf x} \map \alpha {\mathbf x} \map \phi {\mathbf x} \rd \mathbf x\) | Locally Integrable Function defines Distribution | |||||||||||
\(\ds \) | \(=\) | \(\ds \map {T_{\alpha f} } \phi\) | Locally Integrable Function defines Distribution |
$\blacksquare$
Sources
- 2017: Amol Sasane: A Friendly Approach to Functional Analysis ... (previous) ... (next): Chapter $\S 6.4$: A glimpse of distribution theory. Multiplication by $C^\infty$ functions