MHB Understanding Support of Convolution: Does the Equality Hold?

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Hello! (Wave)

Let $u$ and $v$ be two distributions on $\mathbb{R}^n$, at least one of which has compact support. I have to show that $supp(u \ast v)=supp u + supp v$.

But does the equality hold? Or does it only hold that $supp(u \ast v) \subset supp u + supp v$ ?
 
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For $supp(u \ast v) \subset supp u + supp v$ I have found the following proof:

View attachment 5401
First of all, we know that one of the $supp u, supp v$ has compact support. How do we know that the other one is closed?Furthermore, why will we have proven that $supp(u \ast v)=supp u+ supp v$, by showing that the restriction of $u \ast v$ to the open set $\mathbb{R}^n \setminus{(supp u+ supp v)}$ is $0$?

Also could you explain to me the explanation why the restriction of $u \ast v$ to the above set is $0$ ? I haven't really understood it.
Also, if equality holds could you give me a hint how to show that $supp u+ supp v \subset supp(u \ast v)$ ?
 

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Ok, I got it.
But could you explain me the rest, i.e. the part [m] But this is immediate... $x+y \in supp u+ supp v$[/m] ?View attachment 5413
 

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Are there any good visualization tutorials, written or video, that show graphically how separation of variables works? I particularly have the time-independent Schrodinger Equation in mind. There are hundreds of demonstrations out there which essentially distill to copies of one another. However I am trying to visualize in my mind how this process looks graphically - for example plotting t on one axis and x on the other for f(x,t). I have seen other good visual representations of...

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