Is it possible to build a new probability space so that the product of two independent Gaussian r.v. still be Gaussian in the new space?

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I know that if $X$ and $Y$ are two independent normal random variables defined on the same probability space ($\Omega$, $\cal{F}$,$\cal{P}$), the product may not be normal, but is it possible to construct a new probability space such that $XY$ can be normal in the new probability space? If it is valid, how to construct such new probability space?

I have this question since when I read the proof of Meyer's Inequality using Mathematical Induction, the author seems to use this result to proof it. The book I read is "The Malliavin Calculus and Related Topics" written by David Nualart. Thanks for anyone's help.