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Multiplication of a Distribution with a Smooth Function 📂Distribution Theory

Multiplication of a Distribution with a Smooth Function

Buildup

A distribution cannot be multiplied with a function defined on the real space since its domain is a function space. However, in the case of regular distributions, there exists a corresponding locally integrable function uLloc1u\in L_{\mathrm{loc}}^{1}, so it is represented as follows.

Tu(ϕ)=u(x)ϕ(x)dx,ϕD T_{u}(\phi)=\int u(x)\phi (x) dx,\quad \phi \in \mathcal{D}

Therefore, considering some action SS applied to uu by which we can obtain Su=uSu=u^{\prime}, if uu^{\prime} remains a locally integrable function, then there exists a corresponding distribution TuT_{u^{\prime}}. The idea is to think of the action on uu as being similar to the action on TuT_{u}. This idea is extended to the entire set of distributions to define the multiplication of a distribution and a function.

4.PNG

Let’s assume that a function fCf \in C^{\infty} is given. Then, the product with uu, which is fufu, is still locally integrable. Therefore, a corresponding distribution exists as follows.

Tfu(ϕ)=f(x)u(x)ϕ(x)dx=u(x)(f(x)ϕ(x))dx=Tu(fϕ) \begin{align*} T_{fu}(\phi) &= \int f(x)u(x)\phi (x) dx \\ &= \int u(x)\left( f(x)\phi (x) \right)dx \\ &=T_{u}(f\phi) \end{align*}

Definition1

The multiplication of a smooth function ff and a distribution TT is defined as follows.

f(x)T(ϕ):=T(fϕ) f(x)T(\phi):=T(f\phi)


  1. Gerald B. Folland, Fourier Analysis and Its Applications (1992), p311-312 ↩︎