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Differentiation of the Product of Distributions 📂Distribution Theory

Differentiation of the Product of Distributions

Theorem1

Let’s denote TDT\in D^{\ast} as a distribution, and fCf \in C^{\infty} as a smooth function. Then, the following equation holds.

(fT)=fT+fT (fT)^{\prime}= f^{\prime}T+fT^{\prime}

Explanation

It fits perfectly with the existing product rule, so one can feel that the differentiation of a distribution and product of distributions have been plausibly defined.

Proof

By the definition of distribution differentiation and product, the following is true.

D(fT(ϕ))=D(T(fϕ))=T((fϕ))=T(fϕ+fϕ)=T(fϕ)+T(fϕ)=fT(ϕ)+fT(ϕ)=fT(ϕ)+fT(ϕ) \begin{align*} D( fT (\phi) ) &= D( T(f\phi) ) \\ &= T\left( (f\phi)^{\prime} \right) \\ &= T(f^{\prime}\phi+f\phi^{\prime}) \\ &= T(f^{\prime}\phi)+T(f\phi^{\prime}) \\ &=f^{\prime}T(\phi)+fT(\phi^{\prime}) \\ &= f^{\prime}T(\phi)+fT^{\prime}(\phi) \end{align*}

Therefore, we obtain the following.

(fT)=fT+fT (fT)^{\prime}=f^{\prime}T+fT^{\prime}


  1. Daniel Eceizabarrena perez, Distribution Theory and Fundamental Solutions of Differential Operators (2015), p12 ↩︎