logo

Differentiability of Distributions is Continuous with Respect to Weak Convergence 📂Distribution Theory

Differentiability of Distributions is Continuous with Respect to Weak Convergence

Theorem1

The differentiation of a distribution is continuous with respect to weak convergence. In other words, if TkT_{k} weakly converges to TT, then αTk\partial ^{\alpha} T_{k} weakly converges to αT\partial ^{\alpha}T.

TkTweakly    αTkαTweakly T_{k} \to T \quad \text{weakly} \implies \partial ^{\alpha} T_{k}\to \partial ^{\alpha}T \quad \text{weakly}

Here, α\alpha is any multi-index.

Explanation

It means that the differential operator of a distribution satisfies the condition for being continuous with respect to weak convergence.

limnf(pn)=f(p),{pn}s.t.limnpn=p \lim \limits_{n\to \infty} f(p_{n})=f(p),\quad \forall \left\{ p_{n} \right\} \text{s.t.} \lim_{n \to \infty}p_{n}=p

The significance of this fact for distributions is that it does not hold for pointwise convergence or uniform convergence.

fkfpointwise or uniformly̸ ⁣ ⁣ ⁣    fkfpointwise or uniformly f_{k} \to f \quad \text{pointwise or uniformly} \not \!\!\! \implies f^{\prime}_{k}\to f^{\prime} \quad \text{pointwise or uniformly}

That is, for a sequence of functions fkf_{k} that converges to ff, it is not guaranteed that fkf^{\prime}_{k} converges to ff^{\prime}. However, in the case of weak convergence, this is guaranteed.

Proof

Let’s assume that the sequence of distributions TkT_{k} weakly converges to TT. By definition of the differentiation of distributions, for any test function ϕ\phi, the following holds:

(αTk)(ϕ)=(1)αTk(αϕ) \left( \partial ^{\alpha} T_{k} \right)(\phi) = \left( -1 \right)^{\left| \alpha \right| }T_{k}(\partial ^{\alpha} \phi)

Taking the limit limk\lim \limits_{k \to \infty} on both sides, by assumption, we have:

limk(αTk)(ϕ)=limk(1)αTk(αϕ)=(1)αT(αϕ)=(αT)(ϕ) \begin{align*} \lim \limits_{k \to \infty}\left( \partial ^{\alpha} T_{k} \right)(\phi) &= \lim \limits_{k \to \infty}\left( -1 \right)^{\left| \alpha \right| }T_{k}(\partial ^{\alpha} \phi) \\ &= \left( -1 \right)^{\left| \alpha \right| }T(\partial ^{\alpha} \phi) \\ &= \left( \partial ^{\alpha}T \right)(\phi) \end{align*}

Therefore, the following holds:

αTkαTweakly \partial ^{\alpha} T_{k}\to \partial ^{\alpha}T \quad \text{weakly}

Thus, if TkT_{k} weakly converges to TT, then αTk\partial ^{\alpha} T_{k} weakly converges to αT\partial ^{\alpha}T.


  1. Gerald B. Folland, Fourier Analysis and Its Applications (1992), p315 ↩︎