Positive definite functions and multidimensional versions of random variables

Alexander Koldobsky

We say that a random vector $X=(X_1,...,X_n)$ in $R^n$ is an $n$-dimensional version of a random variable $Y$ if for any $a\in R^n$ the random variables $\sum a_i{X}_i$ and $\gamma (a)Y$…